Senior Data Scientist

Quick Facts

• Role: Senior Data Scientist
• Focus: Predictive analytics and machine learning on large-scale, complex data
• Work: Collaboration with business and technical stakeholders to deliver actionable insights

Description

Apply the scientific method to extract knowledge and insights from structured, unstructured, and time-series (IoT) data. Build and validate predictive models using advanced statistics and machine learning, then communicate findings in business-friendly ways to inform decision making. Become a subject matter expert in AI/ML, feature engineering, data mining, and data manipulation/storage.

Responsibilities

• Develop key predictive models to improve customer experience, operating performance, and safety
• Design sampling, data collection, and data cleaning specifications; apply missing data treatments as needed
• Use advanced analytics to support process improvement using modern analytics frameworks
• Access and analyze data from company systems of record; support strategic business, marketing, and program planning
• Access and enrich data warehouses; build, modify, monitor, and maintain high-performance computing systems
• Provide expert data and analytics support to multiple business units
• Translate business needs into data science projects; collaborate across teams to improve analytical capabilities

Requirements

• Bachelor’s degree in a quantitative discipline (e.g., Applied Mathematics, Computer Science, Statistics, or related)
• 4–7 years of relevant experience developing hypotheses, applying machine learning algorithms, validating results, and extracting actionable insights from multi-terabyte datasets
• Strong knowledge in at least two of: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, data visualization
• Proven experience developing and deploying predictive analytics projects using one or more: Python, R, Scala
• Experience working in an open source environment and with Unix-based OS
• Ability to translate analysis into coherent conclusions and actionable recommendations for business partners and executives
• Strong oral and written communication skills

Benefits

• Salary: $104,000–$143,000 annually (varies by skills, qualifications, experience)
• Annual bonus: 15% (eligible positions)
• 401(k) match and annual company contribution
• Medical, dental, and vision insurance
• Life and disability insurance
• Generous paid time off options, including vacation, sick time, floating and fixed holidays, plus maternity/bonding/primary caregiver leave or parental leave
• Employee Assistance Program for mental and emotional support
• Wellbeing programs such as tuition reimbursement, adoption and surrogacy assistance, and fitness reimbursement
• Referral bonus program
• Additional benefits; eligibility may vary by job grade/classification/status