Senior Data Scientist

Quick Facts

• Role: Senior Data Scientist

Description

Apply the scientific method to extract insights and knowledge from large-scale data, including time-series (smart meters, smart grid, IoT), structured relational data, and unstructured text and multimedia.

Develop and validate predictive machine learning and statistical models on complex datasets at multi-terabyte/petabyte scale, then translate findings into actionable recommendations for business stakeholders.

Collaborate closely across teams to collect, cleanse, standardize, and analyze data and to evolve advanced analytics capabilities.

Responsibilities

• Develop predictive models to improve customer experience, operating performance, and safety best practices

• Recommend data sampling techniques, data collection and data cleaning specifications; apply missing data treatments

• Analyze data using advanced analytics frameworks (e.g., Python, SQL, Spark, Hadoop file system)

• Access and analyze data from multiple systems of record; support strategic business/marketing/program plans

• Access and enrich data warehouses across departments; build, modify, monitor, and maintain high-performance computing systems

• Provide expert data and analytics support to multiple business units

• Work with stakeholders to define data-intensive business problems, translate them into data science projects, and collaborate across analytics teams

• Advise stakeholders on machine learning findings and recommend courses of action to redirect resources

• Educate stakeholders through presentations, training workshops, and publications

Requirements

• Bachelor’s degree in a quantitative discipline

• 4–7 years of relevant experience applying machine learning, validating results on multi-terabyte datasets, and extracting actionable insights

• Strong knowledge in at least two areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization

• Proven experience developing and deploying predictive analytics projects using one or more of Python, R, Scala (or similar)

• Experience working in an open-source environment and a Unix-based OS

• Ability to translate findings into coherent, actionable recommendations; strong oral and written communication

Benefits

• Annual salary: $104,000 – $143,000 (varies by skills, qualifications, and experience)

• Annual bonus for eligible positions: 15%

• 401(k) match and annual company contribution

• Medical, dental, and vision insurance

• Life and disability insurance

• Generous paid time off and additional leave options

• Employee Assistance Program

• Wellbeing programs (tuition reimbursement, adoption/surrogacy assistance, fitness reimbursement)

• Referral bonus program

Note: Eligibility for sponsored compensation and benefits may vary based on length of service, job grade/classification, or represented status.