Sr. Data Scientist
*Summary*
We are seeking an experienced *Senior Data Scientist* to develop data-driven solutions, analyze complex business problems, and translate data into clear, actionable insights. This role will work with multidisciplinary teams in a highly regulated *GMP environment* and requires strong analytical, programming, problem-solving, and communication skills.
*Responsibilities *
- Analyze complex datasets to identify trends, patterns, relationships, and actionable insights.
- Translate business questions and operational needs into data-driven analytical solutions.
- Develop and implement analytical solutions using appropriate programming, statistical, and data-mining techniques.
- Apply programming languages and statistical tools such as Python, R, MATLAB, SAS, and SQL to analyze and manage data.
- Develop and support algorithms, data structures, and analytical models to address business and technical problems.
- Evaluate business and technical requirements and select the appropriate tools, methodologies, and analytical approaches.
- Develop solutions to routine technical problems and support the implementation of data-driven improvements.
- Generate clear, precise, and actionable analyses and communicate findings to technical and non-technical stakeholders.
- Collaborate with multidisciplinary teams to understand business needs, define analytical requirements, and support effective decision-making.
- Present analytical findings, recommendations, and results to stakeholders and management.
- Support projects involving data analysis, business analytics, statistical modeling, and process improvement.
- Maintain a strong quality and compliance mindset while performing data-related activities in a regulated GMP environment.
- Manage assigned analytical projects, timelines, deliverables, and priorities to support successful project completion.
- Apply strong problem-solving, logical reasoning, and technical judgment when addressing data and business challenges.
*Qualifications*
Candidates must meet one of the following combinations:
- Doctorate in Data Science, Business, Statistics, Data Mining, Applied Mathematics, Business Analytics, Engineering, Computer Science, or a related field. Master’s Degree plus *2 years of relevant experience*. Bachelor’s Degree plus *4 years of relevant experience*. Associate Degree plus *8 years of relevant experience*. High School Diploma/GED plus *10 years of relevant experience*.
- Experience with programming, coding, system design and architecture, algorithms, and data structures.
- Experience with statistical software and programming languages such as *R, MATLAB, SAS, or Python*.
- Experience with database languages such as *SQL*.
- Ability to articulate business questions and use programming and analytical techniques to develop business solutions.
- · Ability to develop solutions to routine technical problems.
- Demonstrated ability to select appropriate analytical tools and methodologies based on the problem.
- Experience working with data analysis, statistics, and data-driven decision-making is highly desirable.
- Excellent written and verbal communication skills.
- *Fully bilingual in Spanish and English.*
- Strong technical proficiency with logical thinking and problem-solving skills.
- Strong conflict-resolution and decision-making abilities.
- Demonstrated leadership, initiative, and self-motivation.
- Excellent time and project management skills, with the ability to deliver projects on time and within budget.
- Ability to communicate complex analysis in a clear, precise, and actionable manner.
- Strong teamwork, collaboration, and negotiation skills.
- Ability to work effectively with multidisciplinary teams.
- Strong quality and compliance mindset within a highly regulated *GMP pharmaceutical environment*.
- Computer proficiency, including *Microsoft Word, Excel, PowerPoint, and Minitab*.
Job Type: Full-time
Pay: $50.00 - $55.00 per hour
Education:
- Bachelor's (Preferred)
Experience:
- MATLAB: 5 years (Preferred)
- SQL : 5 years (Preferred)
- Business Analytics : 5 years (Preferred)
- Programming: 5 years (Preferred)
- Algorithms: 5 years (Preferred)
- Data Structures : 5 years (Preferred)
- Data Science : 5 years (Preferred)
- Data Analytics : 5 years (Preferred)
- Statistics: 5 years (Preferred)
- Data mining: 5 years (Preferred)
- Python: 5 years (Preferred)
Work Location: In person