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Sr. Data Scientist 33261 - 2104702

Title: Sr. Data Scientist 33261 (Pharmaceutical/Biotech Industry) πŸ’ΌπŸ”¬

Location: Puerto Rico (Hybrid/Virtual/Remote) πŸ‘πŸ’»

Shift: Administrative

Period: Approximately (6) six months πŸ“…

Positions: 1


Educational and Software Requirements:

ο»ΏEducation:

  • Doctorate degree πŸ§‘β€πŸŽ“
  • OR Master’s degree in Science or Engineering with 3 years of relevant experience
  • OR Bachelor’s degree in Science or Engineering with 5 years of relevant experience πŸŽ“
  • Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research πŸ“πŸ”’
  • 5 years of experience in data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science, or related fields πŸ“ŠπŸ’»


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. The role involves developing analytical models and insights to solve specific business problems, leading advanced analytics projects, and driving significant business impact through the strategic use of advanced analytics techniques.


Preferred Qualifications:


Technical Skills:

  • Proficiency in programming, coding, system design, and architecture πŸ’»πŸ–₯️
  • Experience with statistical software and coding languages (e.g., R, MATLAB, SAS, Python) and database languages (e.g., SQL) πŸπŸ”’
  • Ability to articulate business questions and develop solutions using programming techniques πŸ§ πŸ’‘
  • Problem-solving skills and the ability to choose the right tools for specific issues πŸ”§πŸ”
  • Experience leading and executing projects end-to-end πŸš€
  • Proficiency with databases, programming languages, and ML libraries πŸ—„οΈπŸ
  • Strong logical, problem-solving, and decision-making skills πŸ§ πŸ› οΈ
  • Excellent organizational and planning skills for managing large datasets πŸ“…πŸ—‚οΈ
  • Ability to collaborate and influence business partners to drive projects end-to-end 🏒🀝
  • Strong communication skills to convey analysis clearly πŸ“’βœοΈ
  • Experience with large datasets and distributed computing tools (e.g., Spark, Hive) πŸ—ƒοΈπŸ–₯️
  • Passion for learning and staying updated on advanced analytics developments πŸ”πŸ“š
  • Biotech/Pharma experience is a plus πŸ’ŠπŸ”¬


General Skills:

  • Excellent communication skills, both oral and written πŸ“’βœοΈ
  • Fully bilingual in Spanish and English πŸ‡ͺπŸ‡ΈπŸ‡¬πŸ‡§
  • Strong logical, problem-solving, and conflict resolution abilities πŸ€”πŸ› οΈ
  • Demonstrated leadership, initiative, and self-motivation πŸ’ͺ🌟
  • Excellent time and project management skills β°πŸ“‹
  • Ability to clearly and precisely communicate analysis πŸ“ˆ
  • Team player with strong negotiation skills πŸ€πŸ’¬
  • High quality and compliance mindset in a regulated GMP industry βœ”οΈπŸ­
  • Computer literacy (Word, Excel, PowerPoint, Minitab) πŸ–₯οΈπŸ“Š


Functions:

  • Lead and develop data science, machine learning, and AI capabilities across the commercial organization πŸ€–πŸ“Š
  • Be part of cross-functional teams to derive substantial business value πŸŒπŸ’‘
  • Work independently with minimal supervision πŸ†
  • Identify business needs, conduct SWOT analysis, propose analytical approaches, and execute end-to-end solutions πŸ“πŸ§©
  • Build high-performance algorithms, prototypes, predictive models, and proof of concepts using Python or R πŸπŸ“ˆ
  • Work with SQL and other database query languages πŸ—„οΈ
  • Collaborate and communicate cross-functionally to develop methodologies to answer business questions πŸ€πŸ“š
  • Present analysis ideas, progress, and results to business partners πŸ“ŠπŸŽ€
  • Create impactful presentations in PowerPoint πŸ–₯οΈπŸ–ΌοΈ
  • Ensure compliance with regulatory, security, and privacy requirements related to data assets πŸ”’πŸ“œ


Interested? Send your updated resume to careers@proqualitynet.com with the subject line "Sr. Data Scientist 33261". We look forward to reviewing your application! πŸš€πŸ“§


Thank you. We will be in contact soon.

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