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  • Data Science Associate

    Insight Global (Horsham, PA)



    Apply Now

    Job Description

    Insight Globals top Pharmaceutical client is building a team of Data Science Associates to join their Commercial Advanced Analytics organization. The Associates will be aligned to a specific therapeutic area to engage with Brand leadership, Data Science teams, and 3rd party service providers to help build AI/ML Data Products that enhance marketing capabilities. On a daily basis the associate will be involved in a variety of tasks including conducting exploratory data analysis of commercial/claims data, identifying opportunities to improve models in production, Create simple multivariate regression, clustering, or optimization models to support adhoc business needs, build production level data pipelines, and/or new features. The associate should also feel comfortable with stakeholder engagement and have the ability to present on their solutions to the team. The associate will be part of a team of similarly skilled professionals across therapeutic areas that they will be able to work collaboratively on. Formal training on the clients tools and environment will be provided. There will be a strong likelihood the position will move fulltime with the client in the future.

     

    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 (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . 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

     

    2-3 years of professional experience in enterprise data analytics or data science

     

    Technical Skills in SQL, Python, advanced Excel, and BI/data visualization (Tableau preferred)

     

    Knowledge of a variety of Machine Learning techniques including supervised/unsupervised learning, clustering, regression, etc.

     

    Project and Product Management Skills and ability to present findings to business stakeholders

     

    Agile development methodology knowledge (Ceremonies, JIRA boards, etc)

     

    Knowledge of Data Engineering principles, CI/CD, and/or ML Ops Advanced Degree in computer science, analytics, or similar

     

    Knowledge of Commercial Pharma syndicated data sets (IQVIA, Symphony Health, Komodo, etc.)

    Strong coding skills and experience building data pipelines 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].

     


    Apply Now



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