Job Description
Insight Global is looking for a Senior Data Scientist for a major financial institution in the Chicago, IL or San Francisco, CA area. The goal is this individual will have a strong can-do mindset, proven ability to ship production grade models, and passion for solving ambiguous business challenges.
This role blends deep technical expertise with business acumen, product thinking, and strong storytelling skills. They will drive end to end delivery of Data & AI solutions, from problem framing and data acquisition to model development, deployment, and ongoing optimization...while influencing stakeholders across the organization.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
-3-5+ years of relevant experience in data science, machine learning, or applied analytics.
-Proven track record of shipping models to production and maintaining them at scale.
-Expertise in machine learning and deep learning algorithms and frameworks.
-Proficiency in Python and SQL; experience with R, SAS, or other analytical tools is a plus.
-Experience with distributed computing technologies (Hive, Hadoop, Spark) and cloud ML platforms (AWS SageMaker, Azure ML, etc.).
-Strong communication, storytelling, and influence skills; able to drive alignment across diverse groups.
-Demonstrated ability to operate in ambiguity, make data-driven decisions, and solve complex, open-ended problems.
-Experienced collaborator with deep cross-functional partnership skills and ownership mindset.
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.