The Data Scientist leads advanced analytics initiatives and partners with cross-functional teams—including commercial insights, manufacturing, supply chain, engineering, data teams, service owners, and external vendors—to develop analytical models and deliver insights that solve complex business problems. This role is responsible for the full lifecycle of analytics projects, from identifying needs and defining approaches to building models and communicating results. The Data Scientist drives meaningful business impact through innovative application of machine learning, AI, and statistical techniques.
Key Responsibilities
- Lead the development and application of data science, machine learning, and artificial intelligence capabilities across the organization.
- Build high-performance algorithms, predictive models, prototypes, and proof-of-concepts using Python.
- Design analytical methodologies to address specific business questions and optimize decision-making.
- Lead analytics projects end-to-end with minimal supervision.
- Conduct SWOT analyses, identify business needs, propose analytical approaches, gain stakeholder alignment, and execute solutions.
- Work with SQL and other database languages to extract and manipulate large datasets.
- Ensure compliance with all privacy, regulatory, and data security standards.
- Collaborate with stakeholders across multiple business functions to define requirements and develop analytical strategies.
- Communicate effectively with technical and non-technical partners to drive alignment and ensure successful project outcomes.
- Work closely with data engineering, operations, and technology teams to enable robust analytics workflows.
- Present analytical ideas, progress updates, and final insights in a clear and compelling manner.
- Create impactful presentations and data stories using PowerPoint and Excel.
- Translate complex analytical results into actionable business recommendations.
Core Competencies & Skills
- Background in Data Science, Mathematics, Engineering, Applied Physics, Statistics, or Operations Research.
- Demonstrated experience leading analytics projects end-to-end.
- Experience with SQL, relational databases, and graph databases.
- Strong coding skills in Python, R, or SAS; familiarity with ML libraries (scikit-learn, MLlib, Keras, TensorFlow, PyTorch).
- Ability to write clean, reusable, well-abstracted code; familiarity with Linux environments.
- Strong analytical, problem-solving, and critical-thinking skills.
- Excellent organization and planning skills, especially for handling large or complex datasets.
- Ability to influence and collaborate with business partners and technical teams.
- Outstanding communication skills for presenting insights clearly and effectively.
- Experience with distributed computing tools such as Spark or Hive.
- Passion for continuous learning and staying current with emerging analytics techniques.
- Experience in biotech, pharmaceutical, or regulated industries (preferred).
Requirements
Required Education & Experience
- Doctorate
OR - Master’s + 2 years of experience in data science, statistics, engineering, computer science, business analytics, or related fields
OR - Bachelor’s + 4 years of related experience
OR - Associate’s + 8 years of related experience
OR - High School/GED + 10 years of related experience
Preferred Qualifications (Stand-Out Attributes)
- Expertise in Python and SQL for data manipulation, statistical analysis, and automation.
- Experience with Apache Spark, Databricks, or similar distributed analytics platforms.
- Familiarity with visualization tools such as Tableau, Spotfire, or Power BI, plus strong data storytelling ability.
- Understanding of machine learning algorithms, model development, and evaluation techniques.
- Experience with multivariate statistical tools (e.g., SIMCA) for data exploration or predictive modeling.
- Ability to translate complex analytical results into actionable business insights.
- Experience integrating diverse data sources such as PAT, LIMS, MES, and OSIsoft PI for end-to-end analytics.
- Exceptional collaboration skills with business, engineering, and product teams.
Benefits
- Administrative Shift
- 7-month contract with possible extension
Top Skills
What We Do
BioPharma Consulting JAD Group provides a complete portfolio of technical support and solutions for the FDA regulated industry. We deliver solutions with a flexible cost effective approach to meet your company’s needs. BPC JAD group is a company created to help our customers bridge the gap between their business strategy and results.
Our mission is to help our clients succeed by partnering with them and providing value added business solutions on the validation, engineering and compliance fields.
We will carry out our mission by creating a long-term partnership with our customers and provide reliable and cost effective technical solutions.
BPC JAD Group objective is to deliver reliable tailored solutions; from providing consultation to becoming part of your staff. We will develop customized frameworks to help our customers unlock the hidden value in their plants, facilities, equipment and people with an optimal integration of resources regulations and technology.
