Data Scientist

Veg Group; Juncos (PR); On-site; USD 90,000 - 120,000; Full time

Job summary

Validation & Engineering Group, Inc. (V&EG) seeks a Data Scientist to lead analytics projects across PR Operations, collaborating with commercial insights, manufacturing, supply chain, and IS partners.

You will develop models, run end-to-end analytics, and deliver business impact through advanced techniques. You will innovate with Python-based models, work with SQL and other query languages, and craft clear presentations for stakeholders.

Qualifications

• Advanced degree in Data Science, Engineering, Mathematics, Statistics, or OR
• Experience leading analytics projects end-to-end
• Experience with relational, SQL, and Graph databases
• Programming in Python, R, or SAS; ML libraries like scikit-learn, MLlib, Keras, TensorFlow, PyTorch
• Write well-abstracted, reusable code; comfortable in Linux
• Strong problem-solving, logical thinking, and decision-making skills
• Excellent organizational and planning abilities for large datasets
• Ability to influence business partners and IS resources to drive projects
• Strong communication skills to present analyses clearly
• Experience with large datasets and distributed computing tools (Spark, Hive)
• Biotech/Pharma experience

Responsibilities

• Lead data science, ML, and AI capabilities across the organization
• Direct cross-functional projects delivering actionable insights
• Independently manage projects with minimal supervision
• Identify business needs; design analytical approaches; obtain approvals; execute end-to-end
• Build algorithms, prototypes, and models using Python
• Work with SQL and other DB query languages
• Collaborate with stakeholders to define methodologies for questions
• Present analysis ideas and results to partners clearly
• Create compelling PowerPoint stories; proficient with Excel
• Ensure compliance with regulatory, security, and privacy requirements

Skills

Data science

Python

SQL

Machine learning

Communication

Team collaboration

Problem solving

Data visualization

Biotech/pharma experience

Education

Masters or higher in data science or related field

Bachelor's degree in related field

Associate degree + relevant experience

Tools

Python

R

SAS

scikit-learn

MLlib

Keras

TensorFlow

PyTorch

SQL

Linux

Spark

Hive

Job description

Current job opportunities are posted here as they become available.

Validation & Engineering Group, Inc. (V&EG) a Pinnaql company 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

Description:

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 the 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 OR
• Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR
• Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR

COMPETENCIES/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

At Validation & Engineering Group, people always come first. We believe that when you're empowered to do your best work, bold ideas thrive and real progress happens. This isn't just a job - it's an opportunity to make a meaningful difference by shaping the future of healthcare and technology alongside a purpose-driven, supportive team.

Excited to build something meaningful together? We look forward to hearing from you.

Validation & Engineering Group is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.