Data Scientist

About Stackline:

Stackline, founded in 2014 in Seattle, is a pioneering full-funnel connected commerce platform that’s trusted by the world's most innovative brands. With strategic investments of $180 million from notable entities like Goldman Sachs Growth Equity and TA Associates since November 2020, Stackline champions the integration of business leaders, product innovators, performance marketers, and analysts through its cutting-edge technologies. Operating globally with offices in Minneapolis, New York, Salt Lake City, and London, Stackline continues to lead in providing market insights, revenue metrics, and behavior analyses powered by a proprietary neural network.

About The Role: Data Scientist

Are you ready for your next big career leap? Join Stackline as a Data Scientist and be a part of shaping the future of commerce. Dive into vast data pipelines, analyze over a billion data points each week, and collaborate with skilled teams across various domains to develop and implement Machine Learning solutions that drive substantial business impact.

Key Responsibilities:

• Construct, test, and launch sophisticated Machine Learning models across multiple products.
• Independently innovate on Machine Learning pipelines and work closely with leadership to validate data outputs.
• Address complex and intricate datasets with technical proficiency, ensuring precision in insights extraction and strategic decision-making.
• Document analytics and modeling processes thoroughly for clairvoyant operational continuity.

Who We Are Looking For:

• Candidates with a Master’s degree in Mathematics, Physics, Computer Science, Engineering, or a related technical field.
• At least 3 years of industry experience in data science, analytics, or engineering, with hands-on expertise in LLMs or LMMs.
• Strong skills in Python, SQL, and other programming or querying languages, coupled with experience in deploying scalable solutions.
• Familiarity with Machine Learning tools such as TensorFlow, PyTorch, Spark ML, or similar frameworks.

Preferred Qualifications:

• Exposure to big data technologies like Hadoop or Spark.
• Ph.D. in a technical field is an added advantage.
• Experience in startup, retail, or e-commerce settings is beneficial.

Benefits and Perks:

At Stackline, we believe in empowering our employees to achieve their best. Located in Seattle, the role offers a competitive salary range from $160,000 to $180,000 plus a suite of benefits and company perks:

• Comprehensive health coverage (medical, dental, vision).
• Fertility benefits, company-matched 401k, and life insurance.
• Generous PTO and parental leave policies.
• And much more—including summer Fridays and a fully stocked kitchen.

As an equal opportunity employer, Stackline is committed to diversity and inclusion in the workplace and encourages all qualified individuals, regardless of background, to apply.

Apply Now!

Ready to contribute to Stackline’s mission and take on exciting challenges? Apply now to join as our next Data Scientist and start making a difference!