Director, Data Scientist & Data Operations

Eisai US; Chicago (IL); Hybrid; USD 196,000 - 259,000; Full time

Job summary

An innovative pharmaceutical company is seeking a Director of Data Science to lead data operations and analytics. This role involves analyzing complex datasets to derive strategic insights, designing efficient data storage solutions, and leveraging AI for data preparation. The ideal candidate will possess a Master’s degree and extensive experience in statistical analysis, machine learning, and data modeling. Join a dynamic team dedicated to enhancing healthcare benefits and making a significant impact in the neurology and oncology fields. If you are passionate about data-driven decision-making and thrive in a fast-paced environment, this is the perfect opportunity for you.

Benefits

Incentive Plans

Health Benefits

Flexible Work Hours

Remote Work Options

Qualifications

• Master’s degree with 7+ years of experience in data science.
• Deep knowledge of statistical analysis and machine learning.
• Proficiency in Python or R with relevant libraries.

Responsibilities

• Analyze complex datasets for actionable insights and strategic decisions.
• Design and optimize data storage solutions and automate data pipelines.
• Leverage AI for data preparation and create visualizations via Power BI.

Skills

Statistical Analysis

Machine Learning Algorithms

Data Modeling

Python

R

Data Visualization

Problem-Solving

Project Management

Communication Skills

Education

Master’s Degree

Tools

pandas

NumPy

scikit-learn

Tableau

matplotlib

Apache Airflow

Prefect

Dagster

Hadoop

Spark

AWS

Azure

Job description

Director, Data Scientist & Data Operations

Join to apply for the Director, Data Scientist & Data Operations role at Eisai US.

At Eisai, our mission is to satisfy unmet medical needs and enhance healthcare benefits for patients, families, and caregivers. We are a growing pharmaceutical company focused on neurology and oncology, emphasizing research and development. Our achievements include developing many innovative medicines, notably the world's most widely-used treatment for Alzheimer’s disease. As we expand, we seek motivated individuals eager to work in a fast-paced environment and make a difference. If this describes you, we want to hear from you.

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

Responsibilities

1. Data Analysis for Strategic Insights: Analyze complex datasets to extract actionable insights, identify key trends, and provide data-driven recommendations supporting strategic decisions.
2. Data Storage & Processing: Design, manage, and optimize data storage solutions; build and automate data pipelines for efficient data processing.
3. AI-Driven Data Preparation: Leverage AI and machine learning algorithms for automated data preparation, transforming raw data into high-quality insights, and create dynamic visualizations via Power BI.
4. Natural Language Processing (NLP) & Large Language Models (LLM): Apply NLP techniques and LLMs to analyze unstructured data, generate infographics and narratives, and uncover hidden patterns.
5. Pipeline Orchestration & Automation: Automate and orchestrate data pipelines using tools like Apache Airflow, Prefect, and Dagster.
6. Data Quality & Consistency: Establish validation rules to ensure data integrity and high quality throughout the data lifecycle.
7. Incremental Data Loads: Implement strategies for efficient data refresh cycles.
8. Event-Driven Automation: Enable real-time updates for dashboards through event-driven automation.
9. Low-Latency Data Processing: Ensure performance for real-time insights.
10. Dashboard Optimization: Enhance Power BI dashboard responsiveness using parameterized queries and other techniques.
11. Data Communication & Visualization: Present complex findings to non-technical stakeholders via reports and interactive dashboards.
12. Exploratory Data Analysis (EDA): Conduct thorough EDA to assess data quality and uncover insights.
13. Feature Engineering: Develop features from raw data to improve model performance.

Qualifications

• Master’s degree with 7+ years of related experience.
• Deep knowledge of statistical analysis, machine learning algorithms, and data modeling.
• Proficiency in Python or R, with experience in libraries like pandas, NumPy, scikit-learn.
• Experience with data visualization tools (e.g., Tableau, matplotlib).
• Familiarity with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Azure) is a plus.
• Strong problem-solving, critical thinking, and project management skills.
• Excellent communication skills for technical and non-technical audiences.

Additional Information

The salary range is $196,800 - $258,300. This role is eligible for Eisai’s incentive plans and benefits. Final compensation depends on experience, education, and skills. For benefits details, visit our benefits page. Eisai is an equal opportunity employer and participates in E-Verify.