INTL- LATAM- Data Scientist

Summary

Our Healthcare Ecommerce client is looking for a Data Scientist to join their data team. We are looking for someone with a passion for working with data, making discoveries, and strong knowledge of mathematics and statistical modeling. The ideal candidate is a team player, self-starter, and able to hit the ground running.



Day to Day

* Build predictive models using statistical and machine learning techniques used for classification, regression, and disambiguation. Assess model performance and communicate with stakeholders.

* Derive insights from data to improve our understanding of user identity and their journey from online to retail.

* Mine and analyze prescription drug pricing and volume to drive optimization and improvement of product development; refine attribution and identity through NLP cleaning and typo correction techniques

* Support our marketing DS team with audience selection and generation

* Partner with the rest of the data team to improve data consistency, cleanliness, and ease of use.



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.

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Skills & Qualifications

* 3+ years of experience in data science/machine learning.

* Undergraduate degree in a quantitative field (e.g. hard sciences, engineering, operations research, etc)

* Experience delivering impact through statistical analysis and predictive modeling (knowledge in areas of pricing, identity, and attribution preferred)

* Strong knowledge with databases such as RedShift, PostgreSQL, and Spark/EMR; familiarity with Python computing stack

* Comfortable with ambiguity, adaptable to a high-change environment, and open to new concepts and processes.

Nice to Have

* Prior exposure to the prescription/healthcare industry

* Advanced Degree

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.