Subject Matter Expert - Data Scientist SME

🏢 Summary: On-site Data Visualization SME role supporting federal financial management modernization through advanced analytics, dashboards, and automated reporting solutions. The position focuses on transforming complex financial and operational data into actionable insights to enhance audit readiness, financial reporting, and executive decision-making. Requires active TS/SCI clearance and strong expertise in BI platforms and financial data analysis. 🗂️ Requirements: Active TS/SCI security clearance, Bachelor's degree in Accounting, Finance, Business, or related field, 6+ years of federal financial management, accounting, auditing, budgeting, or financial reporting experience, 3+ years of experience developing dashboards and data visualizations using Power BI, Tableau, or similar BI platforms, 3+ years of experience analyzing large financial, budgetary, or operational datasets, Experience with SQL, ETL processes, data transformation, and data modeling 📃 Skills: PowerBI, Tableau, SQL, ETL, DAX, DataModeling, DataVisualization, BusinessIntelligence, ERP 🏢 Description: Job Location: This role is 100% on-site in Washington, DC at Joint Base Anacostia-Bolling (JBAB). Clearance: Must have an active TS/SCI Security Clearance. Job Description: In your role as a Data Visualization SME, you will provide expertise supporting financial management modernization efforts through data analytics, visualization, reporting automation, and business intelligence solutions. You will work closely with financial management stakeholders to transform complex financial, budgetary, and operational data into actionable insights that support audit readiness, financial reporting, internal controls, and executive decision-making. In this position, you will: - Design, develop, and maintain enterprise financial dashboards, scorecards, and data visualizations that support financial reporting, audit readiness, and organizational performance management. - Analyze large financial and operational datasets from multiple source systems to identify trends, anomalies, risks, and opportunities for process improvement. - Develop automated reporting solutions that improve the accuracy, consistency, and timeliness of financial information provided to leadership. - Translate complex financial management requirements into intuitive visualizations and reporting products for both technical and non-technical audiences. - Support audit readiness initiatives through data analysis, reconciliation activities, and reporting of key financial metrics. - Develop data models, business rules, and reporting logic to support financial statement preparation, audit support, and management reporting. - Collaborate with functional and technical stakeholders to improve data quality, governance, and reporting capabilities across financial management systems. - Perform financial data validation and reconciliation activities to ensure completeness, accuracy, and reliability of reporting outputs. - Develop standard operating procedures (SOPs), reporting documentation, data dictionaries, and visualization governance artifacts. - Support the development of corrective action plans (CAPs), remediation strategies, and performance monitoring solutions related to audit findings and financial management initiatives. - Research emerging technologies, analytics methodologies, and data visualization best practices to enhance organizational reporting capabilities. - Present analytical findings and recommendations to senior leadership and client stakeholders. Required Skills: - Bachelor's degree in Accounting, Finance, Business, or a related field. - 6+ years of experience supporting federal financial management, accounting, auditing, budgeting, or financial reporting initiatives. - 3+ years of experience developing data visualizations, dashboards, and reporting solutions using Power BI, Tableau, or similar business intelligence platforms. - 3+ years of experience analyzing and interpreting large financial, budgetary, or operational datasets. Desired Skills: - Strong understanding of data governance, data quality, and reporting best practices. - CPA, CDFM, CGFM, Microsoft Power BI Data Analyst Associate, Tableau Certified Data Analyst, or similar certification. - Experience developing Power BI semantic models, DAX measures, calculated columns, and advanced visualizations. - Experience integrating data from ERP, accounting, budget, or financial management systems. - Familiarity with OMB Circular A-123, FMFIA, FFMIA, FASAB, and federal financial reporting requirements. - Experience supporting audit remediation, audit liaison activities, CAP development, and NFR remediation. - Experience with SQL, ETL processes, data transformation, and data modeling. - Excellent oral and written communication skills. - Experience briefing senior executives and translating technical findings into business-focused recommendations. Compensation and Benefits: For this position, we offer a competitive salary range of $140,000 to $170,000 in the United States. Your individual salary within this range will be determined by various factors, including but not limited to your education, experience, skills, and geographic location. We also provide a comprehensive Total Rewards package, which includes major medical benefits such as dental and vision coverage, a 401(k)-contribution plan, holiday and personal time off, professional development training & certification benefits, health & wellness subsidies, paid time off for community service, and more.

🏢 Summary: Remote Data Scientist V contract role focused on advanced analytics, experimentation, and data-driven decision-making for new product development. The position involves building statistical models, designing A/B tests and KPI frameworks, and partnering with cross-functional teams to influence product strategy. Candidates should have strong expertise in Python, SQL, statistics, and product analytics in fast-paced technology environments. 🗂️ Requirements: Experience supporting 0-to-1 product development with data science, Proficiency in Python, Advanced SQL experience, Strong statistics knowledge, Experience with A/B testing, Experience designing KPI frameworks, Knowledge of operational research techniques, Ability to translate analytical findings into business recommendations, Ability to manage multiple priorities, Bachelor’s degree in Statistics, Computer Science, Data Science, Mathematics, or related field, Eligibility to work on direct W2 without sponsorship 📃 Skills: Python, SQL, Statistics, Modeling, Analytics, Forecasting, Optimization, Simulation, Experimentation, Dashboards, Automation, Regression 🏢 Description: itD is seeking a Data Scientist V to drive data-informed decision-making for new product development by delivering advanced analytics, experimentation, and actionable insights across cross-functional teams. The ideal candidate will bring deep expertise in data science, statistical analysis, and product analytics, along with a proven track record of supporting 0-to-1 product development, designing measurement frameworks, and influencing product strategy through data. Duration: 6 Months We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities - Analyze large, complex datasets to identify trends, business opportunities, and key drivers that influence product performance. - Design, execute, and evaluate experiments, including A/B tests, KPI frameworks, and measurement strategies for new product initiatives. - Develop reproducible analyses, dashboards, and reporting solutions to enable ongoing product and business performance monitoring. - Build statistical models and operational research solutions to support forecasting, optimization, prioritization, and strategic planning. - Partner with product managers, engineers, and cross-functional stakeholders to translate business questions into scalable analytical solutions. - Present analytical findings and recommendations to technical and non-technical audiences, enabling data-driven product decisions. - Validate data quality, document analytical methodologies, and ensure accuracy and consistency across reporting and insights. Internal Responsibilities - Attend regular internal practice community meetings. - Collaborate with your practice team on industry thought leadership. - Complete client case studies and learning material. - Build out material to contribute to the Digital Transformation practice. - Attend internal networking events. - Work with leadership on career fast-track opportunities. Required Qualifications and Skills - Proven experience using data science to support 0-to-1 product development. - Strong proficiency in Python for data analysis, statistical modeling, and automation. - Advanced experience with SQL for querying, transforming, and analyzing large-scale datasets. - Strong knowledge of statistics, including hypothesis testing, regression analysis, experimental design, and statistical inference. - Experience designing and evaluating A/B tests, KPI frameworks, and measurement methodologies. - Knowledge of operational research techniques, including optimization, simulation, or decision analysis. - Experience translating complex analytical findings into actionable business recommendations. - Ability to manage multiple priorities and deliver high-quality analytical work in a fast-paced environment. Preferred Qualifications and Skills - Experience building or supporting data pipelines or a data engineering background. - Previous experience at a large technology company. - Experience supporting rapid product innovation within consumer technology environments. - Experience partnering closely with product teams on product strategy and experimentation. Education - Bachelor's degree in Statistics, Computer Science, Data Science, Mathematics, or a related quantitative field, or equivalent work experience required. Benefits - Comprehensive medical benefits - 401(k) plan - Paid holidays

🏢 Summary: Senior Data Scientist role focused on building and operating real-time, AI-driven decisioning systems that directly impact user experience and conversion rates. The position involves developing and deploying production-grade machine learning models with strict low-latency requirements and contributing to personalization, experimentation, and recommendation systems. It combines hands-on ML engineering with experimentation, causal analysis, and large-scale data processing in a business-facing environment. 🗂️ Requirements: 7+ years commercial experience in Data Science with production ML focus, Strong experience deploying and maintaining production ML models, Experience with real-time systems and low-latency constraints, Proficiency in Python and SQL, Hands-on experience with gradient boosting methods, Experience with recommendation systems and uplift modeling, Strong knowledge of A/B testing and causal inference, Experience building feature engineering pipelines at scale, Experience with Apache Spark or PySpark, Cloud platform experience (AWS preferred), Familiarity with LLMs and GenAI for personalization 📃 Skills: Python, SQL, NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PySpark, Spark, AWS, Databricks, NLP, LLM, GenAI 🏢 Description: We are looking for a Senior Data Scientist to join a Growth Alliance team focused on AI-driven decisioning and user-facing machine learning systems. This role is suited for a technically strong data scientist who is equally comfortable working with business stakeholders and operating production ML systems at scale. About the Project: This is a high-impact role working directly on systems that influence end-user experience and conversion. You will operate in a real-time environment with strict low-latency requirements (<40 ms), contributing to a shift toward AI-driven decisioning aimed at improving product performance and increasing conversion rates. The work spans production ML pipelines, experimentation, and personalization, not just research or experimentation in isolation. Responsibilities: Design, develop, and deploy production machine learning models with real-time constraints; Build and maintain recommendation systems, uplift models, and contextual bandit frameworks; Conduct A/B testing, causal inference analyses, and statistical hypothesis testing; Develop and maintain feature engineering pipelines at scale using PySpark / Apache Spark; Monitor and validate deployed models to ensure performance and reliability; Collaborate closely with business stakeholders to challenge assumptions and define the right problems; Contribute to generative AI and LLM-based personalization initiatives; Work with decisioning platforms, personalization engines, and Martech integrations. Qualifications: 7+ years of commercial experience in Data Science with a strong production ML focus; Proficiency in Python (NumPy, Pandas, Scikit-learn) and SQL; Hands-on experience with gradient boosting methods (XGBoost, LightGBM); Experience with recommendation systems, clustering, NLP, and uplift modeling; Solid background in A/B testing frameworks, causal inference, and statistical modeling; Experience with feature engineering and production ML pipelines at scale; Cloud platform experience, preferably AWS; Familiarity with LLMs, prompt engineering, and GenAI for content personalization; Strong communication skills and ability to work in a highly business-facing environment; Databricks experience is a nice to have. Recruitment Process: Initial interview with our recruitment team; Interview with the hiring manager; Live Coding Assessment; Meeting with the Project Manager. Inuits Sp. z o.o. is registered in the National Register of Employment Agencies (KRAZ) under number 35420.

🏢 Summary: Data Scientist role focused on developing, deploying, and maintaining statistical and machine learning models to support actuarial processes. The position involves advanced data analysis, feature engineering, and automation of analytical workflows in collaboration with actuarial and insurance teams. The role emphasizes predictive analytics, model interpretability, and effective communication of technical results. 🗂️ Requirements: Proficiency in Python for data analysis and modeling, Strong knowledge of machine learning methods, Knowledge of predictive analytics, Knowledge of statistical inference, Experience with data processing tools (pandas, SQL), Experience with data visualization tools (matplotlib, seaborn, ggplot2), Experience with code repositories, Ability to perform exploratory data analysis, Experience in feature engineering 📃 Skills: Python, MachineLearning, PredictiveAnalytics, Statistics, pandas, SQL, matplotlib, seaborn, ggplot2, Git, SAS, AWS, Azure, Emblem, Radar 🏢 Description: Firma Algomine należąca do Grupy Kapitałowej Transition Technologies PSC poszukuje osoby na stanowisko Data Scientist Zakres obowiązków Opracowywanie, wdrażanie i utrzymywanie modeli statystycznych oraz uczenia maszynowego wspierających funkcje aktuarialne. Analiza dużych i złożonych zbiorów danych w celu uzyskania praktycznych wniosków wspierających proces podejmowania decyzji. Przeprowadzanie eksploracyjnej analizy danych i tworzenie cech (feature engineering) dla poprawy jakości modeli i ich interpretowalności. Wspieranie automatyzacji i optymalizacji procesów aktuarialnych z wykorzystaniem nowoczesnych narzędzi i frameworków data science. Ścisła współpraca z aktuariuszami, underwriterami i zespołami likwidacji szkód w celu przekładania wyzwań biznesowych na rozwiązania analityczne. Przygotowywanie prezentacji wyników i rekomendacji w sposób zrozumiały dla odbiorców technicznych. Poszukiwane kompetencje Biegłość w Pythonie w zakresie analizy danych i modelowania. Dobra znajomość metod uczenia maszynowego, analityki predykcyjnej oraz wnioskowania statystycznego. Doświadczenie w pracy z narzędziami do przetwarzania danych (np. pandas, SQL) oraz wizualizacji danych (np. matplotlib, seaborn, ggplot2). Umiejętność pracy z wykorzystaniem repozytorium kodu. Analityczne myślenie: silne umiejętności rozwiązywania problemów i pasja do odkrywania wniosków płynących z danych. Komunikacja: umiejętność współpracy w interdyscyplinarnych zespołach. Mile widziane: Znajomość narzędzi pricingowych WTW (Emblem, Radar) Znajomość branży ubezpieczeniowej Znajomość narzędzi SAS Znajomość systemów kontroli wersji (Git) Znajomość środowisk chmurowych (AWS, Azure) Oferujemy Nowoczesny stack technologiczny i otwartość na wdrażanie nowych rozwiązań Udział w zróżnicowanych i zaawansowanych technologicznie projektach Data Science Pracę w dedykowanym zespole Data Science Prywatna opieka medyczna i karta sportowa Elastyczny czas pracy Spotkania integracyjne oraz niezapomniane imprezy firmowe

🏢 Summary: Staff Data Scientist (Tech Lead) role focused on building and scaling real-time AI-driven decisioning systems to improve product conversion. The position combines hands-on machine learning leadership with technical ownership of production ML pipelines and experimentation strategy. You will drive advanced ML initiatives including recommendation systems, uplift modeling, and LLM-based personalization in low-latency environments. 🗂️ Requirements: 10+ years experience in Data Science with production ML systems, Expert-level Python and SQL, Strong experience with PySpark or Apache Spark, Experience building real-time ML systems with strict latency constraints, Proven experience with gradient boosting and recommendation systems, Strong background in A/B testing and causal inference, Experience building ML pipelines on AWS, Hands-on experience with LLMs including fine-tuning and evaluation, Experience with feature engineering and model monitoring in production 📃 Skills: Python, SQL, PySpark, Spark, NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, AWS, Databricks, LLMs, NLP, Clustering, Uplift, Bandits, ABTesting, CausalInference 🏢 Description: We are looking for a Staff Data Scientist to join a Growth Alliance team at the Tech Lead level. This role goes beyond hands-on data science, it requires a candidate who can set technical direction, lead complex ML initiatives, and act as a strategic partner to business stakeholders. You will operate at the intersection of advanced machine learning, real-time systems, and product growth. About the Project: This is a Staff / Tech Lead position within a team driving AI-powered decisioning at scale. You will work on systems with strict real-time constraints (<40 ms latency) that directly impact end-user experience and conversion. The mission is to move the product toward AI-driven decisioning, targeting a measurable improvement in conversion (~5%). You will be expected to challenge assumptions, define the technical roadmap, and ensure that ML systems perform reliably in production. Responsibilities: Lead the design and implementation of production ML systems, including real-time decisioning and personalization engines; Drive adoption of contextual bandits, uplift modeling, and advanced recommendation frameworks; Define experimentation strategy including A/B testing, causal inference, and synthetic controls; Oversee feature engineering at scale and ensure robust model monitoring and validation practices; Act as a technical owner for decisioning platforms and Martech integrations; Collaborate with and influence senior business stakeholders to shape data science strategy; Guide and mentor other data scientists on the team; Lead GenAI and LLM-based initiatives including fine-tuning, evaluation, and content personalization. Qualifications: 10+ years of experience in Data Science, with a strong track record in production ML systems; Expert-level Python (NumPy, Pandas, Scikit-learn) and SQL; Deep experience with PySpark / Apache Spark for large-scale data processing; Mastery of gradient boosting methods (XGBoost, LightGBM), recommendation systems, NLP, clustering, and uplift modeling; Extensive experience with A/B testing, causal inference, statistical modeling, and synthetic controls; Proven ability to build and maintain production ML pipelines on cloud platforms (AWS preferred); Experience with decisioning platforms, personalization engines, and Martech integrations; Hands-on experience with LLMs, prompt engineering, evaluation, and fine-tuning; Strong stakeholder management skills with the ability to challenge assumptions and ask the right questions; Databricks experience is a nice to have. Recruitment Process: Initial interview with our recruitment team; Interview with the hiring manager; Live Coding Assessment; Meeting with the Project Manager. Inuits Sp. z o.o. is registered in the National Register of Employment Agencies (KRAZ) under number 35420.

🏢 Summary: Senior Data Analyst role focused on transforming operational data into actionable insights to support satellite design, manufacturing, and mission operations. The position involves building automated reports, dashboards, and data pipelines across enterprise systems while partnering with engineering, production, and finance teams. This role combines advanced analytics, data engineering, and business intelligence to drive scalable decision-making in a fast-paced aerospace environment. 🗂️ Requirements: Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or related STEM field, 6+ years of experience in a data analyst or analytics role, Proficiency in SQL, Proficiency in Python, Experience with Snowflake, Experience with a modern BI platform (PowerBI or Tableau), Experience with relational databases, Ability to build complex data visualizations, Ability to translate business questions into structured analyses, Ability to troubleshoot data issues and modify workflows, Must qualify as a U.S. Person under ITAR or be eligible for export control license 📃 Skills: SQL, Python, Snowflake, PowerBI, Tableau, ETL, BI, AI, ML, RelationalDatabases 🏢 Description: K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by significant private investment and commercial and U.S. government contracts, the company is mass-producing high-power satellite platforms for missions from LEO to deep space. The rise of heavy-lift launch vehicles is shifting the industry from mass constraint to mass abundance, demanding a fundamentally different class of spacecraft. Engineered to survive harsh radiation environments and capitalize on next-generation rockets, these satellites deliver high capability at constellation scale and across multiple orbits. With multiple launches planned through 2026 and 2027, the team is focused on building advanced spacecraft platforms to expand humanity’s presence in space. Description As a Senior Data Analyst on the Enterprise Systems team, you will turn operational data into insights that drive smarter decisions across satellite design, manufacturing, and mission operations. You will partner with engineering, production, and finance to evaluate performance, identify gaps, and recommend improvements, while building scalable reports, dashboards, and automation solutions. Responsibilities - Develop automated reports, dashboards, and analyses that surface KPIs, performance drivers, and trends in direct support of strategic and operational decisions. - Build and manage data pipelines integrating structured and unstructured data sources across enterprise systems. - Design and implement automated workflows using SQL, Python, Snowflake, and related tools to standardize data, minimize manual error, and uphold data integrity and governance best practices. - Develop and maintain data retrieval processes and application integrations across multiple systems and data sources. - Partner with stakeholders across Manufacturing, Finance, Propulsion, Materials, and other disciplines to analyze drivers impacting production outputs and operational scaling. - Develop, maintain, and distribute recurring reports for Manufacturing, Finance, and Production teams accurately and on schedule. - Support regulatory, financial, and accounting reporting by compiling and validating underlying data. - Evaluate existing data QC and reporting distribution processes, identify inefficiencies, and deliver improvements. - Own and maintain documentation for data tools, analyses, and workflows. - Stay current on advancements in data analytics, automation, AI/ML, and BI tooling. Qualifications - Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or related STEM discipline. - 6+ years of experience in a data analyst or analytics role. - Proficiency in SQL and Python. - Experience with Snowflake and a modern BI platform (PowerBI or Tableau). - Experience working with relational databases and building complex data visualizations. - Ability to translate ambiguous business questions into structured analyses and recommendations. - Comfortable modifying workflows and troubleshooting data issues. Nice to Have - Experience with ETL processes and workflow automation. - Background in manufacturing, finance, or operational data domains. - Strong knowledge of financial reporting processes. - Familiarity with physical manufacturing workflows. - Experience mentoring or informally leading analysts. Compensation and Benefits - Base salary range: $140,000 - $180,000 + equity. - Salary determined by knowledge, skills, education, and experience. - Comprehensive benefits package including paid time off, medical, dental, vision coverage, life insurance, paid parental leave, and additional perks. Export Compliance This role requires access to information and items controlled by U.S. export control regulations, including ITAR. The person hired must qualify as a "U.S. Person" under 22 C.F.R. § 120.15 or otherwise be eligible for a federally issued export control license. Equal Opportunity Employment is based on merit, competence, and qualifications and is not influenced by legally protected characteristics.

🏢 Summary: Oferta dotyczy pracy na stanowisku Data Scientist przy projektowaniu, wdrażaniu i utrzymaniu rozwiązań machine learning oraz systemów rekomendacyjnych. Rola obejmuje analizę danych, prototypowanie modeli, deployment produkcyjny i współpracę z klientami biznesowymi. Firma oferuje pracę z nowoczesnym stackiem technologicznym, elastyczne warunki oraz możliwość pracy zdalnej. 🗂️ Requirements: Wykształcenie wyższe w obszarze ekonometrii, metod ilościowych, matematyki lub informatyki, Minimum 2 lata doświadczenia jako Data Scientist, Doświadczenie we wdrażaniu komercyjnych projektów analitycznych, Doświadczenie w tworzeniu systemów rekomendacyjnych, Znajomość SQL, Bardzo dobra znajomość Python, Znajomość pandas, Znajomość numpy, Znajomość pyspark, Znajomość polars, Znajomość algorytmów machine learning, Programowanie obiektowe, Znajomość code review, Znajomość CI/CD, Umiejętność pracy z klientem biznesowym 📃 Skills: Python, SQL, Pandas, NumPy, PySpark, Polars, Scikit-learn, SciPy, XGBoost, Spark, Jupyter, Zeppelin, Keras, PyTorch, TensorFlow, Optuna, AWS, Azure, GCP, CI/CD, NLP, LLM, GenAI 🏢 Description: Firma Algomine, należąca do grupy TTPSC, poszukuje Data Scientist Zakres obowiązków: Projektowanie i implementacja rozwiązań wykorzystujących uczenie maszynowe Samodzielna praca na projektach analitycznych i consultingowych Bliska współpraca z klientem, analiza procesów, zbieranie wymagań Prowadzenie analiz eksploracyjnych Prototypowanie rozwiązań analitycznych (uczenie modeli, testowanie podejść) Development i deployment rozwiązań o charakterze produkcyjnym Utrzymywanie i rozwój wdrożonych rozwiązań Prezentacja koncepcji i business-case, omawianie uzyskiwanych wyników Poszukiwane kompetencje: Wykształcenie wyższe o ścisłym profilu: ekonometria, metody ilościowe, matematyka, informatyka Min. 2 lata doświadczenia w roli Data Scientist / we wdrażaniu komercyjnych projektów analitycznych Doświadczenie w tworzeniu i rozwijaniu systemów rekomendacyjnych Wysokie umiejętności przetwarzania danych (SQL, Python: pandas, numpy, pyspark, polars) Dobra znajomość technik i algorytmów machine learning'owych oraz ich implementacji w Python Bardzo dobra znajomość języka Python, w tym programowania obiektowego, optymalizacja kodu Znajomość dobrych praktyk programistycznych (code review, CICD) Dobra komunikacja, umiejętność dialogu z biznesem, prezentacji złożonych koncepcji Mile widziane: Doświadczenie w obszarze doradztwa i consultingu / w pracy dla różnych klientów zewnętrznych, ewentualnie wewnętrznych (np. dział analiz w firmie) / doświadczenie z kilku branż Doświadczenie w projektach end-to-end: od projektu do wdrożenia Doświadczenie we wdrażaniu projektów w obszarach: NLP, LLM, GenAI Znajomość narzędzi służących do przetwarzania dużych zbiorów danych (Apache Spark) Znajomość przynajmniej jednego środowiska chmurowego: AWS, Azure, GCP Stos technologiczny: Open-source: Python, doświadczenie w pracy w notebookach (Jupyter, Zeppelin), Spark (PySpark), Biblioteki: Pandas, Numpy, Scikit-learn, Scipy, Xgboost (mile widziane: Keras, PyTorch, TensorFlow, Optuna) Oferujemy: Nowoczesny stack technologiczny i otwartość na wdrażanie nowych rozwiązań Udział w zróżnicowanych i zaawansowanych technologicznie projektach Data Science Pracę w dedykowanym zespole Data Science Prywatna opieka medyczna i karta sportowa Elastyczny czas pracy i możliwość 100% pracy zdalnej Spotkania integracyjne oraz niezapomniane imprezy firmowe

🏢 Summary: Seeking a Supply Systems Specialist / SME Management Analyst to support federal logistics and supply operations with expertise in NESSS, sector allowancing, and logistics data analysis. The role focuses on inventory management, supply system modernization, allowance validation, and resolving complex logistics issues in a federal client environment. 🗂️ Requirements: NESSS/Sector Allowancing expertise, Experience with federal logistics and supply management, Advanced proficiency with NESSS, Experience with allowance development or maintenance, Ability to interpret inventory management codes and configuration data, Knowledge of supply and logistics management policies and procedures, Experience reviewing SAS allowance reports, Ability to analyze logistics data and provide recommendations, Strong problem-solving skills, Strong written and verbal communication skills, Ability to work independently, Ability to obtain Public Trust clearance, U.S. Citizenship or Permanent Residency 📃 Skills: NESSS, SAS, Logistics, Supply, Allowancing, Inventory, Configuration, Analysis, Compliance, Documentation 🏢 Description: We are seeking a Supply Systems Specialist / SME Management Analyst to support a federal client, Business Operations Division (BOD). The specialist will provide subject matter expertise in the federal client's logistics data, supply management, NESSS, Sector Allowancing, and logistics modernization support. The ideal candidate will have hands-on experience supporting federal client supply operations, interpreting logistics data elements, validating material demand, and helping supply and logistics personnel resolve complex supply system issues. This position requires a strong working knowledge of the federal client's supply policies, logistics management procedures, configuration data, item management codes, and allowance development within the Naval and Electronics Supply Support System (NESSS). Key Responsibilities - Review, interpret, and analyze inventory item management codes within NESSS. - Analyze configuration data, item usage, and material demand to support operational readiness. - Develop, review, update, and validate Sector allowance levels for material within NESSS. - Assess and recommend changes to Sector allowances based on operational requirements, usage data, and supply analysis. - Identify terminal, obsolete, excess, or unsupported material and recommend appropriate disposal or disposition actions. - Request, review, and interpret SAS allowance reports to support allowance decisions and continuous process improvement. - Collaborate with Asset Logistics Division personnel and other stakeholders to resolve logistics and supply issues. - Provide expert guidance, training, and user support on NESSS usage, logistics data management, and supply best practices. - Support data system modernization efforts by providing subject matter expertise on supply and finance system requirements. - Help ensure supply data accuracy, policy compliance, and alignment with logistics standards. - Document findings, recommendations, process updates, and issue resolution actions in clear, professional formats. Qualifications - NESSS/Sector Allowancing expertise - Demonstrated experience with logistics, supply management, or asset logistics support - Advanced user-level proficiency with the Naval and Electronics Supply Support System (NESSS) - Experience with Sector Allowancing processes and allowance development or maintenance - Ability to interpret inventory item management codes, configuration data, supply records, and material demand data - Knowledge of supply and logistics management policies, procedures, and terminology - Experience reviewing or interpreting SAS allowance reports - Ability to analyze logistics data and provide practical recommendations to improve readiness, data quality, and supply support - Strong problem-solving skills and ability to resolve complex logistics or supply challenges - Strong written and verbal communication skills, including the ability to brief findings and provide guidance to stakeholders - Ability to work independently with minimal supervision in a federal client environment Security & Eligibility Requirements - Ability to obtain and maintain a federal Public Trust (suitability) clearance - U.S. Citizenship or Permanent Residency required (no visa sponsorship available) Benefits - Referral Bonus - 401(k) Matching - Eleven Holidays - Technology Reimbursement - Short-Term & Long-Term Disability - Life Insurance (Basic, Voluntary & AD&D) - Paid Time Off: 15 days PTO for 0–3 years, 20 days PTO for 3+ years - 80% Employer Paid Health Care Plan (Medical, Dental & Vision) Salary: $90,000–120,000 (commensurate with experience) Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other protected status. Only direct applicants will be considered. Submissions from recruiting or staffing firms will not be accepted.

🏢 Summary: The offer is for a Data Scientist responsible for designing, building, and deploying machine learning and AI solutions that drive marketplace performance at scale. The role covers end-to-end model development, from problem formulation to production, using advanced statistical methods, deep learning, and Generative AI on large-scale data in cloud environments. You will work closely with data engineers and business stakeholders to deliver impactful, production-grade ML systems. 🗂️ Requirements: Experience in data analysis using SQL, Experience building and deploying ML models in production environments, End-to-end experience designing machine learning models, Ability to translate business problems into ML solutions, Strong communication skills with business stakeholders, Experience with ML and AI, especially LLMs, Proficiency in Python, Understanding of statistical and machine learning methods, Practical and theoretical knowledge of Generative AI and Agentic AI, English and Polish proficiency at B2+ level, Degree in Mathematics, Physics, Economics, Computer Science or related field, or equivalent ML/Data Science experience 📃 Skills: Python, SQL, GCP, BigQuery, VertexAI, CloudComposer, Dataflow, Airflow, PySpark, LLM, GenAI, AgenticAI, DeepLearning, Bayesian, Boosting, CausalInference, Optimization, Kubernetes, Docker, Consul, GitHub, GitHubActions, Gemini, GPT 🏢 Description: Data Scientist Location: Warszawa, PL, 00-841 Company: Allegro sp. z o.o. Team: Technology Contract Type: Employee We are looking for a Data Scientist with a strong analytical mindset - someone who enjoys decoding market mechanisms and applying statistical models to solve complex platform puzzles. Our team drives the logic that powers a trustworthy and competitive marketplace. As part of the Tech organization dedicated to delivering the best experiences for our sellers, we specialize in data solutions focused on driving their growth - particularly through optimizing price competitiveness, expanding product selection, and supporting strategic campaigns. Composed of Data Scientists, Data Engineers, and Analysts, we develop statistical models and rules to measure and improve our products and services. We work in close collaboration with developers and product teams across the entire project lifecycle, from ideation to implementation. Our ultimate goal is to create a seamless experience where partners can rely on fair visibility rules, and Customers can trust every product detail they see on the platform. The brain of the entire Allegro. Here, we implement projects based on a practical application of artificial intelligence and Data Science on a scale unprecedented in Poland. In order to effectively implement ML solutions and automate existing processes, we need the support of inquisitive, experienced, and data-driven individuals. The ones willing to be up to date on newest algorithms and advancements in AI, from new deep learning architectures, explainable AI and GenAI but still grounded and aware of statistics and predictive modelling. In Allegro you will work with solutions from prototypes to create stable, high-performance solutions and combine these services with batch and stream processing analyzing real BigData (also in the public cloud). What will your job involve? Co-creating projects on each stage - from concept to productization - to deliver insights and models solving business problems from different areas Using a wide range of model types, including boosting models, Bayesian methods, causal inference, optimization methods, deep learning and Generative AI solutions including LLMs and Agentic AI Working hand-in-hand with our Data Engineers who support the heavy-lifting of data processing on GCP Working not only with tabular data, but also with spatial data, natural language texts, images and time series Taking part in implementations of off-line and on-line models Brainstorm, provide mentorship, share knowledge Cooperation with other teams: business stake-holders, analytics, data engineers Why should you work with us? Data Science plays a key role in the operation of Allegro - we are a data-driven technology company, and through the models and analyses provided you will have a significant impact on one of the largest eCommerce platforms in the world You will have a possibility of developing AI tools from prototypes to large production solutions that will have real impact on our users, merchants and employees. Thanks to the wide range of projects we carry out, you will never run out of interesting challenges Support of experienced Data Scientists - there is always someone to exchange ideas with, because we have the best specialists and experts in their field on board You will have access to huge data sets and the latest data processing technologies You will have the opportunity to learn the tools and technologies in practice: Python (including various ML libraries), GCP environment (BigQuery, VertexAI, Cloud Composer, Dataflow), Airflow, PySpark, Gemini/GPT models You will learn good programming, engineering and code management practices We share our knowledge at industry conferences and trainings, we are an active participant and co-creator of the Data Science / Machine Learning community in Poland and in the world Our offer is addressed to people who: Have experience in data analysis using SQL and building machine learning solutions in production environments, especially with end-to-end experience in designing ML models Want to translate business challenges into ML problems Can clearly communicate with business units - from formulating an analytical problem to a clear and intuitive presentation of results Have experience with ML and AI (especially LLMs) Are highly independent, showing strong work organization and taking full responsibility for their given projects Program in Python and efficiently use basic development tools Understand statistical and machine learning methods Embrace modern tooling, specifically possessing practical and theoretical knowledge of Generative AI and Agentic AI principles (coding tools, prompting, validation). The ideal candidate enthusiastically leverages GenAI coding tools (like Copilot) to boost and automate workflows,  remaining up-to-date and critically engaged with the newest GenAI tooling. Speak English and Polish at a B2+ level or higher Graduated with a degree strongly related to statistical/mathematical modeling, such as Mathematics, Physics, Economics, Computer Science (or similar major) or have job experience in data science / ML positions What's in it for you: Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. Annual bonus based on your annual performance and company results. Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers). English classes that we pay for related to the specific nature of your job. A training budget, inter-team tourism ( see more here ), hackathons, and an internal learning platform where you will find multiple trainings. An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy. And that's just the beginning! You can read more about the benefits here . #goodtobehere means that: You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA. You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create. You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job. You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support). You will create solutions that will be used (and loved!) by your friends, family and millions of our customers. You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning. You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about! Send us your CV and… see you at Allegro!

🏢 Summary: Senior Big Data Engineer role focused on designing and optimizing large-scale data processing solutions using Spark and Scala within the financial sector. The position involves building resilient data pipelines, supporting production systems, and collaborating in Agile teams to deliver scalable data platforms. Hybrid work model based in Warsaw with up to two remote days per week. 🗂️ Requirements: 3-5 years experience in big data engineering, Strong expertise in Spark, Proficiency in Scala or Java, Knowledge of Python, Experience with DevOps practices, Experience with CI/CD tools, Understanding of microservices architecture, Fluent English, Legal right to work in the European Union 📃 Skills: Spark, Scala, Java, Python, DevOps, CI/CD, Microservices, Airflow, Git, Scrum, BigData 🏢 Description: Empower data-driven innovation — shape the future of financial technology! Warsaw-based opportunity with hybrid work model (up to 2 remote days per week). As a Senior Big Data Engineer (Spark/Scala) , you will be working for our client, a leader in structured finance within the global banking industry. You will contribute to building and optimizing a cutting-edge data platform that supports complex business processes and facilitates collaboration across multiple stakeholders in the finance sector. Join us to drive impactful data solutions that fuel digital transformation and open new avenues for growth. Your main responsibilities: Design and develop solutions for collecting, transforming, and processing large datasets efficiently. Analyze data from multiple sources and translate insights into technical specifications. Implement and industrialize reliable, scalable, and resilient data processing jobs using Spark and Scala. Conduct code reviews and collaborate with team members to ensure continuous improvement. Contribute to agile teams delivering value through Scrum cycles, supporting innovative project delivery. Stay up-to-date with evolving big data technologies and implement best practices. Support applications, troubleshoot production issues, and ensure high quality standards. Produce comprehensive technical documentation, test plans, and project artifacts. You're ideal for this role if you have: 3-5 years of professional experience in big data engineering, ideally within banking or finance. Strong expertise in Spark and Java or Scala, with additional knowledge of Python, DevOps, CI/CD tools, and microservices. Fluency in English (Polish and French are a plus). Analytical mindset with excellent problem-solving skills. Proactive attitude and strong teamwork skills across global teams. Effective communication skills and ability to work across different time zones. It is a strong plus if you have: Knowledge of Airflow, GIT, and modern data architecture strategies. Experience with Agile methodologies and delivering solutions in fast-paced environments. Language Required for the role: Fluent English (required) Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.