Senior Data Scientist

Insight Global is looking for a Senior Data Scientist for one of our logistics clients. As the senior data scientist, you will develop and enhance existing data science models to help drive real-time insights that will allow us to analyze historical sales data, market conditions, and customer behavior to predict future sales trends. You will also build and enhance existing models to analyze customer data and provide actionable insight, collaborate with IT and business teams, mentor other team members, and support data consumers. The ideal hire is someone with strong experience leading in ML/Generative AI, and optimization/data science modeling, as well as someone who has been hands-on in the models and comes from a strong engineering/data science IC background. This role sits in Boston, MA 2 days a week onsite on a smart-hybrid schedule.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here.

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Bachelors degree or equivalent related work or military experience
3+ years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management
Experience solving complex problems through the use of AI. And/or a good understanding GenAI, ML Engineering, and LLM;s
Experience with statistical modeling, data analytics and visualization using R and Python (Numpy, Pandas, Scipy, Plotly and Matplotlib)
Significant experience applying one or more analytical methods: regression (preferably mixed models), data classification and reduction (cluster, factor, principle components, decision trees), Bayesian inference or other advanced machine learning techniques
Deep understanding of statistical modeling, machine learning, deep learning or data mining concepts, and a track record of solving problems with these methods
o Strong with Time Series Models ARMA / ARIMA, forecasting, seasonality, trends, cycles
Technical database knowledge (Oracle, NoSQL, data modeling) and experience optimizing SQL queries on large data
Ability to write SQL fluently, recognize and correct inefficient or error-prone SQL, and perform test-driven validation of SQL queries and their results

Master's degree in Computer Science, MIS, Engineering, Business or a related field
Data science specialization from Coursera, Udacity, Data Camp, etc.
5+ years of experience in data science, or data analysis with a focus on advanced analytics, statistical modeling, machine learning, and AI
5+ years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management
Experience in optimization, sales analytics, and customer segmentation

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.