FreeWheel

Media

DataScientist

$100–150k United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Scientist at FreeWheel. Skills: Data science, Machine learning, Data visualization. Develop and implement data science models. Analyze large datasets”

Industry & Context.

Media
Problems you'll solve

Analytical skills

What They're Looking For.

Must Have

5+ years of experience in data science, Proficiency in SQL, Experience with Python or R, Experience with data visualization tools, Experience with cloud platforms

Nice to Have

Master's degree in a quantitative field, Experience with machine learning frameworks, Experience with big data technologies, Experience with data warehousing

What You'll Do.

Develop and implement data science models

Analyze large datasets

Build and maintain data pipelines

Create dashboards and reports

Collaborate with stakeholders

How You'll Work.

Team & Collaboration

Cross-functional teams

Full Job Description

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world. **Job Summary** Freewheel is currently looking to recruit a Data Scientist to join our Audience Revenue Science Team. This role will be responsible for supporting product development efforts related to in-depth data analysis, machine learning, AI, optimization methods, and statistical model building. This role will work very closely with engineering and product management staff to support the development of innovative approaches to the next generation of ad tech products. **Job Description** **Responsibilities:** * Collaborating with cross-functional teams to define data analysis problems and design experiments * Engineering software solutions and algorithms for data cleansing, integration, and analysis * Utilizing advanced statistical methods and machine learning to derive actionable insights from big data * Implementing statistical and mathematical models to address complex business challenges * Constructing data mining frameworks and conducting trend analysis for strategic decision-making * Analyzing complex datasets to identify historical patterns in customer and product behaviors * Building predictive models to forecast customer actions and guide business planning * Synthesizing findings from data science research to inform and optimize business processes * Presenting data-driven insights and recommendations through clear, comprehensive deliverables * Consistent exercise of independent judgment and discretion in matters of significance. * Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary. * Other duti

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