Time Series Data Scientist III – Forecasting & SageMaker

Eliassen Group; Charlotte (NC); Hybrid; Confidential; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401k with company matching

Life insurance

Job summary

Eliassen Group has a client in Charlotte, NC seeking a Data Scientist III focused on time series forecasting to support advertising viewership and inventory management. The role is hybrid (1/4 on-site) and works in an AWS environment with SageMaker, Python, SQL, Snowflake, Spark, Airflow, and AWS Glue.

You will investigate first-party data, integrate it into forecasting models, collaborate with data engineers, and clearly communicate methods and results to stakeholders.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

SQL

Time series forecasting

Cloud-based environments

Spark

Airflow

Tools

Snowflake

SageMaker

Airflow

AWS Glue

Job description

Eliassen Group has a client in Charlotte, NC seeking a Data Scientist III focused on time series forecasting to support advertising viewership and inventory management. The role is hybrid (1/4 on-site) and works in an AWS environment with SageMaker, Python, SQL, Snowflake, Spark, Airflow, and AWS Glue.

You will investigate first-party data, integrate it into forecasting models, collaborate with data engineers, and clearly communicate methods and results to stakeholders.