Senior Data Scientist (Python/R/SAS/Manufacturing)

Infotree Global Solutions; Juncos (PR); On-site; USD 90,000 - 130,000; Full time

Job summary

Infotree Global Solutions is seeking a Data Scientist to lead analytics projects across the PR Operations Organization, partnering with commercial insights, manufacturing, supply chain, engineering and IS to deliver end-to-end analytical solutions. You will innovate with advanced techniques and drive significant business impact using Python, SQL, and distributed computing tools.

The role requires strong collaboration, excellent communication skills, and the ability to present insights clearly to

Qualifications

• Lead analytics projects end-to-end across business units.
• Build predictive models and analytics solutions using Python.
• Work with SQL and other DB query languages.
• Communicate results clearly to stakeholders and IS teams.
• Experience with distributed computing tools (Spark, Hive, etc.).
• Biotech / Pharma experience preferred.

Responsibilities

• Lead data science capabilities across the organization.
• Drive end-to-end analytics projects with cross-functional teams.
• Identify business needs and propose analytical approaches.
• Develop high-performance algorithms and POC models in Python.
• Collaborate with stakeholders to define methodologies.
• Present analysis ideas and results in PowerPoint.
• Ensure compliance with regulatory and privacy requirements.

Skills

Data science

Python

SQL

Distributed computing

Education

Doctorate or equivalent

Masters + 2 years data science experience

Bachelors + 4 years data science experience

Associates + 8 years data science experience

High school/GED + 10 years data science experience

Tools

SQL

SAS

Linux

ML libraries (scikit-learn, TensorFlow)

Power BI

Databricks

Spark

Hive

Job description

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 Clients 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 for Client.
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

• Doctorate OR
• 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
• High school/GED + 10 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience

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

Are there specific educational/software requirements needed?

• Doctorate OR
• Masters + 2 years of data science, business, statistics, data mining, applied mat
• hematics, 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
• High school/GED + 10 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience

8 hours shift (Admin)

What attributes (i.e. - preferred qualifications) would make this candidate stand out?

• Software Engineering or BA Data Science/Analytics
• Proficiency in Python, R, SQL, Power BI, Da
• tabricks, or similar analytics and visualization platforms.
• Familiarity with enterprise data platforms, data warehousing concepts, data modeling, and data integration solutions (e.g., EDW, Databricks, SAP, MES, or equivalent platforms).
• Exposure to Industry 4.0 technologies (IoT, digital twins, real-time analytics)