Senior Data Scientist

Kepler executes engineered marketing, where every message and ad delivered helps create a more personalized and productive relationship between brands and their consumers. We do this by acting as clients' agency of record, as their in-house team, or some hybrid of the two - and by harnessing data and technology across all paid digital media and data-driven CRM channels. This role can be based in any of our US offices and is open to remote work. Kepler prides itself on being a great place to work. In fact, we're proud to share that AdAge recognized Kepler among the Best Place to Work in 2022, validating our investment in our team and our clients. We're transparent with our employees. You'll hear updates on company financials, how we're performing against bonus goals, and how we're responding to challenges we face. We're growing . For you, that means unparalleled growth opportunities and a role in shaping the direction of the company. We're fun . You'll work with and learn from the smartest people in the industry and have a blast doing it.

Overview:

Kepler is looking for a talented Senior Data Scientist to join us in revolutionizing the marketing ecosystem. We are a rapidly growing company building innovative analytics and marketing solutions to power billions of consumer touchpoints across our Fortune 500 clientele. We are looking for someone who loves thinking both about the ways complex workflows can be improved and how vast amounts of data can be harnessed through the power of technology. We work in an inclusive, entrepreneurial, and collaborative environment where our team members have significant trust and autonomy in their day-to-day work and are encouraged to explore solutions they feel will push their work and the business forward. As a Senior Data Scientist, you will develop, maintain, and scale automated analyses, predictive models, statistical analyses, and automated data pipelines that help the organization better understand how to optimize our marketing programs. Successful Senior Data Scientists will be those eager to learn new concepts and share that knowledge with their colleagues. The most accomplished Senior Data Scientists are not shy about asking questions, questioning assumptions, and building innovative systems.

What You Will Do:

Build and automate analyses and data management approaches, scaling them across our client base Develop new, innovative approaches to analyzing data and managing scalable data pipelines Create and maintain code in Jupyter notebooks and a Linux-based environment using SQL, Python, and Spark Codify and share best practices across team members Build strong relationships with our product, engineering, and client delivery teams to identify needs and ensure quality results Train junior colleagues on the usage of development tools and techniques Implement proactive solutions to improve our workflows Explore ways to integrate machine learning and AI into Kepler analytics Develop, iterate on, and scale predictive models and statistical analyses

Required Skills:

• Excellent communication skills and ability to effectively collaborate with both technical and non-technical team members
• Strong analytical and critical thinking skills Ability to draw insights from large scale data
• Experience extracting data from databases using SQL
• Strong technical/coding skills, including experience using Python, R, and/or Spark or similar languages to extract, manipulate, and analyze data sets
• Ability to produce code that is easily understood, and understand code written by others
• An eager and open mind. We are constantly learning new things and want the same from you

Required experience:

• Bachelor's degree with background in a quantitative discipline, e.g. statistics, math, economics, physics, computer science, engineering, etc.
• Post-graduate degree a plus. Recent work / hobby project whose code and behavior we can evaluate. Example: your GitHub profile with recent projects and / or analyses that you have personally developed 5 years of experience in analytics or data science
• Extensive knowledge of statistical techniques (such as linear or nonlinear models, logistic regression, machine learning, artificial intelligence, clustering techniques, decision trees, neural networks, etc.), and real-world experience applying these in a corporate environment
• Please note that, at this time and for this position, we cannot accommodate long term future sponsorship needs for US work authorization but can accommodate OPT STEM extensions. Please note in your application, if you fall under this category. Protect yourself from recruitment fraud. The only way to apply for a position at Kepler is by submitting a direct application via the Keplergrp.com website or working with a recruiter employed by Kepler with a keplergrp.com email address. Learn how to stay safe by clicking here