Summary:

The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business problems. This role will lead advanced analytics projects from the front and will be responsible for end to end execution. This role will innovate and create significant business impact through the strategic use of advanced analytics techniques.

Functions:

1. Leading, using and developing data science, machine learning, and artificial intelligence capabilities across  commercial organization.
2. Leading the projects and be part of cross functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value.
3. Taking the initiative and work independently with minimal supervision.
4. Identifying business needs, doing SWOT analysis, proposing potential analytical approaches for solutions, obtain approvals and the execute the work end to end.
5. Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python.
6. Working with SQL and other DB query languages.
7. Leading, collaborating and communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions.
8. Presenting analysis ideas, progress and results to business partners in clear and impactful manner.
9. Creating powerful stories in PowerPoint. Well versed in MS Office suite specifically Excel and PowerPoint.
10. Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets.

Education:

-Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience.
-Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience.

Preferred Qualifications:

-Proficiency in Python and SQL for data manipulation, statistical analysis, and automation.
-Experience working with Apache Spark and Data bricks workspaces for advanced analytics.
-Familiarity with data visualization tools such as Tableau, Spotfire, or Power BI, with an understanding of UX design principles for effective data storytelling.
-Understanding of Machine Learning algorithms, model development, and evaluation techniques.
-Experience with multivariate statistical analysis and tools such as SIMCA for data exploration and predictive modeling.
-Demonstrated ability to translate complex analytical findings into actionable business insights.
-Excellent communication and collaboration skills to work cross-functionally with business, engineering, and product teams.
-Ability to integrate diverse data sources (e.g., PAT, LIMS, MES, OSI soft PI) for end-to-end process analytics and digital transformation initiatives.

Skills:

1. Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research
2. Experience leading the projects and in executions of the projects end to end
3. Experience with databases including relational, SQL, and Graph
4. Programming experience with Python, R, or SAS and experience with ML libraries like scikitlearn, MLib, Keras, TensorFlow, Pytorch, etc.
5. Write well-abstracted and reusable code in Python, R, or Scala; you freely navigate in Linux environment;
6. Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills
7. Excellent organization/planning skills and talent for managing many large and complex datasets
8. Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end
9. Excellent communication skills to communicate analysis in a clear, precise, and actionable manner
10. Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.)
11. Passion for learning and staying on top of current developments in advanced analytics.
12. Biotech / Pharma experience.

Work Methodology:

• 100% On-site 
• 6 months (1st Contract)
• Administrative Shift (weekends and overtime may also be required).
• Professional Service Contract