The Distribution & Service Performance Insights team is seeking a highly motivated data scientist to join the model development & engineering team. In this role, you will apply analytic techniques to improve the effectiveness and efficiency of our sales distribution and service organization.

You will collaborate with business partners to develop predictive analytic solutions that enable data-driven strategic decision-making.You will Utilize data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions.

The actual internal level/grade for this role will depend on the candidates overall experience and skill level.

About the role:

• Solve business problems using advanced statistical techniques including but not limited to regression/logistic regression, bootstrapping, decision trees, gradient boosting, neural network, clustering & binning, time series forecasting, and market basket analysis.

• Creatively identify and pursue predictive analytics opportunities to solve business problems and drive value to the Distribution & Service organization.

• Develop and deliver presentations succinctly and effectively, communicating technical ideas to non-technical audiences, to influence and enable strategic and operational decision making.

• Proactively identify and develop expertise in new technologies, methodologies, and techniques.

• Design and manage market experiments and pilots to test hypotheses.

• Lead cross-functional projects from ideation/conception through implementation.

• Partner and coordinate with Product, Marketing, Operations, and Information Management to operationalize analytical tools and decision support models.

• Mines large data sets using sophisticated analytical techniques to generate insights and inform business decisions.

Minimum Qualifications:

• Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and 0-2 years of relevant experience, a Masters degree (scientific field of study) and 1-4 years of relevant experience or may be acquired through a Bachelors degree(scientific field of study) and 5+ years of relevant experience.

• Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Experience in model building required. Experience working with large datasets required.

• Advanced degree in Statistics, Computer Science, Economics, other Scientific Field or other relevant work experience.

• Expert skills in statistical and data management software programs (e.g. R, Python, SAS, SQL)

• Ability to communicate with both technical and non-technical audiences including effective presentation skills, building a business case, translating analytic results to usable learnings and actions, and give training to peers and less senior team members

• Ability to operate independently, Strong organizational skills, Time management skills, and decision-making skills

Benefits:

We value your hard work, integrity and commitment to positive change. In return for your service, its our privilege to offer you benefits and rewards that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits

Job: Analytics
Primary Location: United States-Massachusetts-Boston
Schedule: Full-time
Salary: $93,400-$152,000
Education Level: Bachelor's Degree (16 years)
Travel: No