Senior Data Scientist

Reposted 12 Days Ago
Chicago, IL, USA
In-Office
Senior level
AdTech • Information Technology • Machine Learning • Marketing Tech • Software
The Role
As a Senior Data Scientist, you'll develop learning systems, algorithms, and models for optimizing marketing campaigns while collaborating with product development teams and engineering.
Summary Generated by Built In

Why Work With Us

Strike is a leader in the fast growing marketing technology sector. We're not just succeeding, we're kicking butt. Come help build the next generation of advertising and marketing technology using the latest innovations including: Machine Learning, Real-time Analytics, and Experimental Modeling on the Strike Marketing Cloud/Data Warehouse. Strike has offices in Chicago, San Francisco, Los Angeles, New York, Singapore, Australia, Mexico, Philippines, Poland, and Thailand.

Senior Data Scientist

Who you are:

You are someone who takes pride in your work, seeks order in chaos, and wants the opportunity to work with like-minded individuals. You are a leader, not a follower, with an innovative spirit who wants to collaborate with a team of brilliant minds in our quest to generate amazing insights.

What you’ll do:

We are working on some challenging problems that require bright minds and grit to help us solve. We work in an agile environment with lots of cool toys. Our Data Scientists research and create our learning infrastructure using Python and then work with Data Engineering to build micro services into our data lake.

A career at Strike is an exciting journey where you will:

  • Partner with product development teams to research, design and implement learning systems that recommend, optimize, and predict marketing campaign performance for top brands across multiple advertising platforms including YouTube (Google Ads and DV360), Facebook/Instagram, TikTok, LinkedIn, Snapchat, Pinterest and more
  • Develop algorithms and models that inform customer activities
  • Participate in the architecture and development of a closed-loop learning system reading and feeding our private data warehouse
  • Report progress, issues and status at daily and weekly stand-ups
  • Stay abreast of emerging technologies and new design approaches
  • Provide technical leadership both within and outside the technology team

What you need:

  • Bachelor’s degree or higher - Quantitative field such as Computing Science, Statistics, Mathematics, Physics, or Engineering
  • 3+ years of strong mathematical and statistical data analysis experience
  • 3+ years of experimental data / modeling experience
  • 3+ years of Machine Learning experience including black box and bespoke solutions
  • 2+ years of language processing
  • 2+ years of Python development experience
  • Agile software development methodology experience and test-driven development experience
  • Take pride in writing clean dependable algorithms
  • Strong ability to analyze problems and formulate effective solutions
  • Sharp critical thinking skills, including systems and business analysis, problem analysis and resolution, and sound judgment/decision making ability
  • Proven ability to work in a rapid release product environment

Impress us with:

  • Masters or PhD - Quantitative field such as Statistics, Mathematics, Physics, or Engineering
  • Experience with contextual analysis and language processing
  • Experience to develop and deploy Machine Learning and Algorithmic micro services

Working at Strike Social

Strike is a close-knit, work-hard/play-hard environment. If you want a fun, challenging and rewarding experience, apply to join our team! We are a small team working in a fast-paced environment. Working hours are flexible and remote work is encouraged.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.

Direct inquiries only, no recruiters please. 


Top Skills

Experimental Modeling
Machine Learning
Python
Real-Time Analytics
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The Company
HQ: Chicago, Illinois
177 Employees
Year Founded: 2013

What We Do

Strike Social’s machine learning technology is an end-to-end YouTube, Meta, TikTok, and all-biddable social execution platform built to generate savings for agencies and deliver campaign performance for brands. We are a SWAS (Software with a Service) AdTech business partner. As an extension of your team, our 24/7, global team leverages our proprietary planning, pacing, and optimization tools to generate significant savings and efficiencies on every campaign. We’re hyper-focused on setting up and executing your client’s campaigns, so your team can focus on servicing and growing the business.

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