Job Description
This candidate will be responsible for developing advanced data science solutions based on guidance and technical requirements from the Lead Data Scientist. Tasks include hands-on data analysis, model development, training, and testing. Write production-level code and collaborate with machine learning engineers to deploy models. Continuously research new algorithms and modeling techniques. Collaborate with machine learning engineers for deployment, data engineers for building pipelines, and software engineers for integration.
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
Machine Learning: Deep understanding of theory and practical model development.
Generative AI & NLP: Experience with LLMs (e.g., BERT), RAG, LangChain, LangGraph.
Statistics: Knowledge of multivariable calculus, linear algebra, differential equations, Bayesian statistics, and time series analysis.
Programming: Proficiency in Python and SQL; experience with Git and GitHub.
Data Management: Understanding of relational databases, AWS, and data modeling.
Data Wrangling: Handling large structured and unstructured datasets.
AWS & DevOps: Familiarity with AWS environments and deployment pipelines.
Nice to Have Skills & Experience
Experience in analytical methods and evaluation of complex factors.
Ability to learn independently and continuously.
Strong problem-solving, communication, and collaboration skills.
Benefit packages for this role will start on the 31st 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.