Data Scientist at Gannett in McLean, Virginia

Job Description:

Gannett is seeking a Data Scientist with a strong blend of technical and consultative skills to drive its digital advertising business. You will be part of a team that develops data-driven insights and product features in collaboration with stakeholders across Product and Engineering. This role has the option to work 100% remote.

Responsibilities:

• Find creative uses for both structured and unstructured data ranging from ad logs to content.
• Maintain and enhance current models, tools and data sources.
• Consult with stakeholders to assess needs, scope projects and develop data solutions to address business pain points.
• Develop and deploy models to deliver increasingly valuable, repeatable and scalable analytic solutions.

The ideal candidate:

• Has a passion for helping stakeholders find data solutions to business problems
• Has an inquisitive mind and sound judgement when it comes to distinguishing signal from noise
• Is solution oriented and can communicate with stakeholders in non-technical terms using effective data visualization, making end products engaging and user-friendly
• Has demonstrated experience working autonomously to deliver timely results
• Is a team player and able to build collaborative, cross-functional relationships
• Has BA/BS in a quantitative field (computer science, economics, math, statistics, engineering), required
• advanced degrees or BA/BS plus 1-2 years of relevant experience, preferred

Technical skills:

• Proficient in Python or R and associated machine learning packages.
• Project experience with one or more of the following: regression, classification, NLP, time series, deep learning, and experiment design.
• Solid knowledge of SQL.
• Familiarity with Git and experience in deploying projects to AWS or Google Cloud is a plus.
• Experience or interest in digital advertising is a plus.

#LI-REMOTE

#LI-NR2

The annualized base salary for this role will range between $100,000 and $115,000. Base compensation is reflective of many factors, including, but not limited to, the market in which one lives/works, individual education level, skills, certifications and experience. Note: variable compensation is not reflected in these figures and based on the role, may be applicable.
recblid jxwkcd2s16t42cqumcj7bgiacbm9hj

Apply Now