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Job Description

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 [email protected] . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

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/ .

Skills and Requirements

MUST HAVE:

• 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 in optimization, sales analytics, and customer segmentation

• 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

• 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

• Proficiency in Microsoft Office and Windows applications

Availability to work periodic 24/7 on-call support as required by the teams rotation schedule NICE TO HAVE:

• 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

Ability to quickly learn and achieve proficiency in new software applications null

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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].