Job Title: Sr. Data Scientist - Measurement

Location: Remote - US Only

About InMarket

Since 2010 InMarket has been a leader in 360-degree consumer intelligence and real-time marketing for thousands of major brands. Through InMarket's data-driven marketing platform, brands can build targeted audiences, activate in real-time, and measure success in driving sales.

InMarket holds more than 25 patents across location, attribution and digital marketing, and its GeoLink marketing platform was awarded Product of the Year' at the 2022 Sales and Marketing Technology Awards and best Location Platform at the 2022 Digiday Technology Awards. InMarket ranked ranked #300 on the 2022 Deloitte Technology Fast 500™ list after growing 483% over the last 3 years.

About the Role

Data science is a core driver of InMarket’s product design and innovation. As a Sr. Data Science team member, you will have the opportunity to leverage cutting-edge machine learning on petabytes of data in ways that make a large and lasting impact on the company. We take on greenfield projects and launch entirely new products giving you the opportunity to take large amounts of ownership and shape our technology stack.

Your role is to conceptualize, develop and deploy the core machine learning solutions that power our industry-leading advertising measurement products. These solutions will be intelligent, adaptive, operate at scale, and be based on modern causal inference and marketing statistical methods. You will collaborate closely with data analysts, account managers, product teams and engineering to understand our business and rapidly iterate on solutions that maximize ROI.

  Your daily Impact as Data Scientist

• Work with senior team members and product stakeholders to develop prototypes and take early-stage ideas through to production
• Take ownership of core advertising measurement products to expand our capabilities and push our performance boundaries
• Explore our data and systems, prototype ideas, run experiments to validate them and propose new products or advancements
• Collaborate closely with our engineering and product teams to expand our causal inference based measurement platform

Your Experience & Expertise

• Bachelors in Statistics, Computer Science, Economics, Operations Research, or similar quantitative field (graduate degree preferred)
• Solid understanding of modern data science and machine learning theory and methods
• At least 3 years of experience with applying modern statistical marketing models, Bayesian statistics, and causal inference to solve complex, data-driven problems
• Programming proficiency (preferably Python, its data science stack, and SQL) and desire to write production code
• Excellent communication skills and the ability to present methodologies and findings to audiences with varying technical backgrounds

Nice to Haves

• Experience working in modern cloud infrastructure environments like AWS and GCP is a big plus
• Familiarity with the digital media / advertising industry is a big plus.

Compensation & Benefits Summary

• Competitive salary, stock options, flexible vacation
• Medical, dental and Flexible Spending Account (FSA)
• Company Matched 401(k)
• Unlimited PTO (Within reason)
• Talented co-workers and management
• Agile Development Program (For continued learning/professional development)
• Paid Paternity & Maternity Leave

For candidates in California, Colorado, and New York City, the Targeted Base Salary Range for this role is $168,500 to $271,000. 

Actual salaries will vary depending on factors including but not limited to work experience, specialized skills and training, performance in role, business needs, and job requirements. Base salary is subject to change and may be modified in the future. Base salary is just one component of InMarket’s total rewards package that also may include bonus, equity, and benefits.  Ask your recruiter for more information!

InMarket is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.

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