Job Description

Job Description

Job Description

Job Title: Senior Data Scientist (Ads)
Location: Remote, US
Department: Data Science
Type: Full-Time, Exempt
Experience: Senior (6+ years)
Salary Range: $162,021 - $189,000.00 base (+bonus, equity, and benefits)
Core Hours: 9 AM - 1 PM PST / 12 - 4 PM EST

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

Role Summary

As a key member of our Data Science team, you'll be responsible for turning data into actionable insights, driving business decisions, and owning analytics projects from inception to completion.

Day to day, your role will involve developing customized reporting and analytics tools to meet the unique needs of our clients.

What You'll Do

• Write production code in Python.
• Design, launch, and analyze experiments to optimize ad campaigns.
• Create reporting and analytics tools for the Data Science Team's customers.
• Translate insights from reporting tools into tvScientific's Data Science Product.

How We'll Define Success

• Utility of new reporting and analytics tools.
• Speed of translation between DS Analytics & DS Product team.
• Quality of service provided to the DS Team's customers.

You'll Be Successful in This Role if You Have/Are

• Ability to write and review production-level code in Python.
• Excellent writing skills.
• Strong statistics and ML fundamentals.
• Desire to work at a fast-growing Series A startup–working under uncertainty, owning and scaling new products, and an experimental and iterative development process.
• Adtech or CTV experience.

You May Also Have

• Teaching experience.
• Big data experience with Scala, Apache Spark, Apache Beam, and AWS Athena.

Culture and Benefits

At tvScientific we believe people do their best work when they feel challenged and engaged by their day to day responsibilities, when they're surrounded by smart, hard working people, and when they have a healthy work life balance. Our company culture and benefits package reflects these beliefs.

• Full health, dental, and vision insurance - up to 95% funded by the company for employees.
• Employee stock option program.
• Company-sponsored retirement plan with a matching contribution program.
• 12 annual paid holidays (including 2 flexible days).
• Generous PTO policy (get your work done and take the time you need).
• A remote-first environment that allows employees flexibility to work from most places in the US.

As tvScientists We Are...

• Big Thinkers: We believe in setting audacious goals and envisioning transformative change.
• Radically Transparent: We value transparency in all aspects of our business. We foster a culture of open communication, honesty, and accountability.
• Performance-obsessed: We are passionate about achieving exceptional results. We strive for excellence in everything we do and set high standards for ourselves.
• Data-driven: We embrace the power of data, science, and technology as crucial drivers of our success.
• Trust Builders: We prioritize building and nurturing trust with our stakeholders. We understand that trust is the foundation of successful relationships and business partnerships. Through our actions, integrity, and commitment to delivering on promises.
• Forever Students: Challenge assumptions to look for solutions. We create a safe environment for experiments and risk-taking by our customers and employees.

tvScientific is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. tvScientific is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.

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