Sr Data Scientist

Echo-Consulting-Group; Puerto Rico; On-site; USD 95,000 - 135,000; Full time

Job summary

ECHO Consulting Group is seeking a Data Scientist to lead analytics projects across commercial insights, manufacturing, supply chain, and IS partners. You will develop analytical models and insights to address business problems in the PR Operations Organization, delivering end-to-end execution and value.

You will innovate with advanced analytics, create prototypes and production-ready models using Python or R, and communicate results to stakeholders.

Qualifications

• Degree or higher in a quantitative field relevant to data science.
• Experience leading analytics projects with end-to-end delivery.
• Proficiency in Python or R and SQL.
• Strong communication of insights to cross-functional teams.

Responsibilities

• Lead analytics projects across commercial, manufacturing, and IS teams.
• Develop models and insights to solve business problems in PR Operations.
• Build predictive models and dashboards using Python or R and PowerPoint storytelling.

Skills

Data science

Machine learning

Statistical analysis

Data visualization

Education

Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research

Tools

Python

R

SAS

SQL

Spark

Job description

ECHO Consulting Group is a leader in providing solutions for the pharmaceutical, biotechnology, medical devices, and food industries. ECHO Consulting Group delivers high-quality solutions in CQV, quality management, regulatory compliance, manufacturing support, and project management. We are committed to offering exciting career opportunities in a workplace that values trust, respect, teamwork, creative talent, enthusiasm, and diligence. We are looking for talented professionals who are passionate about quality, collaboration, and delivering results. We believe great talent deserves great rewards. That's why we offer a competitive compensation package and professional development.

Summary of Role:

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.

Responsibilities:

• Leading, using and developing data science, machine learning, and artificial intelligence capabilities across 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 for

• 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

Shift: Administrative

Location: Juncos, PR

Education: Industrial Engineering, Systems Engineering, Computer Science, Chemical Engineering, Biomedical Engineering, Biotechnology, Manufacturing Engineering, or a related technical discipline.
A background in Engineering is highly preferred due to the project's focus on resource planning, workload modeling, capacity evaluation, process optimization, and operational efficiency. However, candidates from science or data-focused backgrounds may also be strong fits if they demonstrate experience with data analytics, digital tools, GMP operations, and validation support.

Preferred Qualifications:

• The ideal candidate should demonstrate a strong combination of technical, analytical, and operational skills to support AI-enabled optimization, resource planning, and validation-related initiatives within Drug Product.

• A standout candidate would have experience or demonstrated capability in the following areas:

  • Data analytics and visualization.

  • Ability to collect, organize, clean, analyze, and interpret complex operational or manufacturing data. Experience with tools such as Excel, Power BI, Smartsheet, JMP, Minitab, or similar platforms would be highly valuable.

  • Programming, automation, and AI-enabled tools.

  • Foundational programming or automation experience, including exposure to Python, Codex, AI-assisted coding tools, Power Automate, scripting, database structure, or digital workflow development. The candidate does not need to be an expert programmer but should be comfortable learning and applying digital tools to solve business problems.

  • Statistical and process evaluation mindset.

  • Understanding of basic statistics, process variability, trending, capacity evaluation, data comparison, and performance monitoring. This would support both workload forecasting and characterization/validation data evaluation.

  • Validation and/or GMP documentation experience.

• Knowledge of GMP expectations, validation lifecycle activities, protocol/report development, documentation practices, data integrity, discrepancy follow-up, and compliance-driven execution.

• Strong communication and stakeholder engagement.

• Ability to work with cross-functional teams, gather user requirements, translate business needs into tool requirements, and communicate findings clearly to management and technical stakeholders.

• Be available to support non-standard shift when activities are required.

Skills:

• Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research

• Experience leading the projects and in executions of the projects end to end

• 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

Equal Employment Opportunity

ECHO Consulting Group, Inc. is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or membership in any other class protected by federal, state, or local law.

We assure you that your opportunity for employment with ECHO Consulting Group, Inc. depends solely on your qualifications.