Data Scientist III

Our client seeks a Data Scientist III focused on time series forecasting to support advertising viewership and inventory management. The role will investigate incoming first-party data and integrate it into existing forecasting models or develop new models as needed. The team operates in AWS with production workloads in SageMaker and related services. Collaboration with data engineers and reporting teams is expected, with clear communication of methods and results., * Investigate and assess new first-party data sources for relevance to forecasting objectives.

• Integrate new data into existing time series forecasting models or develop new models when required.
• Forecast linear and digital viewership to inform inventory planning and booking decisions.
• Map projected audiences to available advertising inventory to support campaign commitments and SLAs.
• Collaborate with data engineers to operationalize models using pipelines, workflows, and production processes.
• Develop, document, and communicate modeling approaches, assumptions, and results to technical and non-technical stakeholders.
• Work within an AWS-centric environment leveraging Python, SQL, Snowflake, SageMaker, Spark, Airflow, and AWS Glue.
• Partner with upstream data provider teams to consume cleansed and prepared data.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance., * 5 to 10 years of experience in data science with strong time series forecasting background.

• Proficiency in Python and SQL.
• Experience working in cloud-based environments
• Strong mathematical and statistical foundation with ability to explain methods and findings.
• Experience with large-scale datasets, Spark, and orchestration tools such as Airflow.
• Nice to have: data engineering experience and optimization exposure, including mixed-integer optimization using tools such as CPLEX or Gurobi.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.