ZL01-031824 Data Scientist

Validation & Engineering Group, Inc. (V&EG) is a leading services supplier who provides solutions for the Pharmaceutical, Biotechnology, Chemical, Food, and Medical Devices industries in the following areas: Laboratory, Compliance, Computer, Engineering, Project Management, Validation, and other services.

We are seeking a talented, dedicated individual committed to work under the highest ethics standards for the following position:

• Data Scientist

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.

Technical Skills:

• Work experience in programming, coding, system design and architecture, algorithms and data structures.
• Experience with statistical software, coding languages (e.g. R, MATLAB, SAS, Python) and database languages (e.g. SQL).
• Experience articulating business questions and using programming techniques to establish business solutions.
• Able to develop solutions to routine technical problems.
• Demonstrated skills in selecting the right tools given a problem.

General skills

• Excellent communication skills: oral and written. Interacts effectively with variety of communication and working styles.
• Fully bilingual in Spanish and English.
• Detailed technical proficiency with strong logical, problem solving, and conflict resolution.
• Demonstrated leadership skills, initiative and self-motivation.
• Excellent time and project management skills to deliver projects on time and budget.
• Ability to communicate analysis in a clear, precise, and actionable manner.
• Great teammate with strong negotiation skills to work with multidisciplinary teams that relies on collaboration for effective decision-making.
• High quality and compliance mind set to work in a highly regulated GMP industry.
• Computer literacy (Windows environment: Word, Excel, Power Point, Minitab).

FUNCTIONS

• Leading, using and developing data science, machine learning, and artificial intelligence capabilities across the commercial organization.
• 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.
• Taking the initiative and work independently with minimal supervision.
• Identifying business needs, doing SWOT analysis, proposing potential analytical approaches for solutions, obtain approvals and the execute the work end to end.
• Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python or R.
• Working with SQL and other DB query languages.
• Leading, collaborating and communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions.
• Presenting analysis ideas, progress and results to business partners in clear and impactful manner.
• Creating powerful stories in PowerPoint. Well versed in MS Office suite specifically Excel and PowerPoint.
• Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets.

COMPETENCIES/SKILLS

• Experience with databases including relational, SQL, and Graph.
• Programming experience with Python, R, or SAS and experience with ML libraries like scikitlearn, MLib, Keras, TensorFlow, Pytorch, etc.
• Write well-abstracted and reusable code in Python, R, or Scala; you freely navigate in Linux environment.
• Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills.
• Excellent organization/planning skills and talent for managing many large and complex datasets.
• Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end.
• Excellent communication skills to communicate analysis in a clear, precise, and actionable manner.
• Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.)
• Passion for learning and staying on top of current developments in advanced analytics.
• Biotech / Pharma experience.

Requirements:

• Doctorate degree or Master's degree in Science or Engineering and 3 years of directly related experience or Bachelor's degree in Science and Engineering and 5 years of directly related experience.