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TieTalent
TieTalent

Director, Data Scientist & Data Operations

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Director

Tech stacks

Data
Machine learning
Automation
+20

Permanent role
14 days ago
Apply now

About

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you.

Position Overview The Data Operations Group at Eisai, Inc. is looking for a Director - Data Scientist/Programmer to drive drug development through predictive modeling of disease and drug response. The Data Scientist will work closely with Biostatisticians in the Stat Methodology / Machine Learning group to support projects across various stages of development. This role will be integral in providing actionable insights for critical data science projects that are vital to our business.

This position may be either office-based (hybrid) in Nutley, NJ, or remote-based.

Responsibilities

Data Analysis for Strategic Insights:

Analyze complex datasets to extract actionable insights, identify key trends, and provide data-driven recommendations to support strategic decision-making.

Data Storage & Processing

Design, manage, and optimize data storage solutions; build and automate data pipelines.

AI-Driven Data Preparation

Leverage AI and machine learning algorithms for automated data preparation and create visualizations via Power BI.

Nlp & Llm

Apply NLP techniques and LLMs to analyze unstructured data, generating infographics and narratives for stakeholders.

Pipeline Orchestration & Automation

Automate data pipelines using tools like Apache Airflow, Prefect, Dagster.

Data Quality & Consistency

Establish validation rules to ensure data integrity and quality.

Incremental Data Loads

Implement strategies to optimize data refresh cycles.

Event-Driven Automation

Enable real-time dashboard updates with event-driven automation.

Low-Latency Data Processing

Ensure performance for real-time insights.

Dashboard Optimization

Enhance Power BI dashboard responsiveness.

Data Communication & Visualization

Present findings clearly to non-technical stakeholders.

Exploratory Data Analysis

Conduct thorough EDA to assess data quality and insights.

Feature Engineering

Develop features to improve model performance.

Qualifications

Master's degree with 7+ years of relevant experience.

Deep knowledge of statistical analysis, machine learning, and data modeling.

Proficiency in Python or R, with experience in data libraries.

Experience with visualization tools like Tableau or matplotlib.

Knowledge of big data technologies and cloud platforms is a plus.

Strong problem-solving and project management skills.

Excellent communication skills for technical and non-technical audiences.

Additional Information The salary range for this position is from $196,800 to $258,300. This role is eligible for participation in Eisai Inc.'s incentive plans. Final pay will depend on experience, education, and skills. Employees may participate in company benefits programs, details available at

Eisai Benefits . Eisai is an equal opportunity employer and participates in E-Verify, ensuring lawful employment eligibility verification.

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Nice-to-have skills

  • Predictive Modeling
  • Machine Learning
  • Data Science
  • Data Analysis
  • Power BI
  • Python
  • R
  • Tableau
  • Maryland, United States

Work experience

  • Fullstack
  • Data Engineer
  • Data Scientist

Languages

  • English

About TieTalent

🔗Website
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