Data Scientist

This role is 100% on site in Herndon, VA; Springfield, VA; St. Louis, MO; or Aurora, CO with the possibility of hybrid work in the future (requirements driven).

Clearance Required for this role: TS/SCI eligibility with willingness/ability to obtain CI polygraph.

Requirements:

• Bachelor’s Degree with at least 2 years’ experience in an analytical role as a data scientist, analyst or machine learning engineer. Will consider years’ experience in lieu of degree.

• An ability to work with data using SQL and tools for statistical analysis (eg. Python, R)

• Solid knowledge of statistics and probability, with demonstrated experience applying these techniques to commercial use cases such as ML models and A/B tests

• Demonstrated experience of developing, deploying and maintaining ML models and data pipelines within a commercial setting.

• Demonstrated experience of translating business and/or project requirements into insights, models and data products that generated tangible business value.

• An ability to work effectively in a team setting and familiarity with commercial collaboration tools such as JIRA and Confluence.

• A strong communicator able to present data driven insights to non-technical stakeholders while also having fruitful conversations with engineering teams

• Curiosity and attention to detail with regards to data quality, distributions, biases and governance.

• An ability to work effectively within a fast paced and dynamic environment.

• An awareness and keen interest in the latest trends / techniques within data, machine learning and AI.

• Fluent in Python/Scala/R as well as SQL/NOSQL with demonstrable experience.

• Experience with Apache Spark

• or other Big Data tools like Apache Flink/MapReduce

• Familiar with Big Data tools such as EMR/ Dataproc /Cloudera/Hortonworks

• Familiar with orchestration tools such as Airflow/DBT/NiFi

• Experience with LLM’s and GPT models a plus.

Desired qualifications

• Experience with cloud solution providers such as GCP, AWS and Azure

• Prior experience building robustable and reusable code

• Knowledge of NLP and Image processing

• Prior experience with REST APIs

• An understanding of version control, modularity and maintaining code within a production setting.

• An understanding of the web analytics and digital marketing ecosystem (eg. Adobe, Salesforce, Google)

• Prior experience working with DMPs and CDPs

• Prior consulting experience

Salary is commensurate with experience. Salary range for this requisition is: $80k-$250k annual. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Pay: $100,000.00 - $250,000.00 per year

Benefits:

• 401(k)

• 401(k) matching

• Dental insurance

• Employee assistance program

• Flexible schedule

• Flexible spending account

• Health insurance

• Life insurance

• Paid time off

• Referral program

• Relocation assistance

• Retirement plan

• Tuition reimbursement

• Vision insurance

Work Location: In person