1

Overnight Meta Data Scientist Jobs in New York (NOW HIRING)

A PhD in AI, computer science, data science, or related technical fields * First author ... Meta builds technologies that help people connect, find communities, and grow businesses. When ...

A PhD in AI, computer science, data science, or related technical fields * 2+ years of industry or ... Meta builds technologies that help people connect, find communities, and grow businesses. When ...

A PhD in AI, computer science, data science, or related technical fields * First author ... Meta builds technologies that help people connect, find communities, and grow businesses. When ...

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for ex.

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for ex.

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for Pr...

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for Pr...

... Science, Creative, Policy & Communications,, and external agencies to design and implement sophisticated issue campaigns that advance Meta's brand narrative through innovative, data-driven paid media ...

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for Product Managers who value moving quickly.

PhD in AI, Computer Science, Data Science, or related technical fields * Master's degree in ... Meta builds technologies that help people connect, find communities, and grow businesses. When ...

Partner Enablement Manager

New York, NY · On-site

$190K - $264K/yr

Establish and manage a comprehensive learning agenda to build long-term category growth for both Meta first party and second party products. Partner with Data Science and "in-field research" teams to ...

AI is a Meta priority. Sales and Product teams are working on integrating automation through AI to ... Experience in working with large datasets and using SQL or similar tools for data extraction and ...

Establish and manage a comprehensive learning agenda to build long-term category growth for both Meta first party and second party products. Partner with Data Science and "in-field research" teams to ...

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for Product Managers who value moving quickly.

next page

Showing results 1-20

Overnight Meta Data Scientist information

What are the key skills and qualifications needed to thrive as an Overnight Meta Data Scientist, and why are they important?

To thrive as an Overnight Meta Data Scientist, you need a strong background in statistics, machine learning, and data analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with programming languages such as Python or R, experience with big data tools like Spark or Hadoop, and proficiency in data visualization platforms are often required. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly are essential soft skills for this role. These abilities are crucial for extracting actionable insights from complex datasets and supporting data-driven decision-making, even during off-hours when support may be limited.

What are some unique challenges faced by Overnight Meta Data Scientists, and how can they be addressed?

Overnight Meta Data Scientists often work during non-standard hours, which can present challenges such as limited real-time collaboration with daytime teams and the need to manage alert fatigue or solo problem-solving. To address these, it's important to establish clear handoff protocols, utilize asynchronous communication tools, and maintain detailed documentation for ongoing projects. Additionally, Overnight Data Scientists often focus on monitoring critical systems or running batch data processes, so developing strong troubleshooting skills and self-reliance is key. Many organizations support these roles with flexible scheduling and remote work options to help maintain work-life balance.

What is an Overnight Meta Data Scientist?

An Overnight Meta Data Scientist is a professional who works primarily during nighttime hours to analyze and interpret large datasets, often utilizing advanced statistical and machine learning techniques. The 'meta' aspect refers to working with metadata—data that provides information about other data—helping organizations optimize data management, enhance searchability, and improve data-driven decision-making. These scientists often monitor automated systems, ensure data pipelines are functioning, and may address urgent issues that arise outside of regular business hours. Their work is critical for organizations that require round-the-clock data processing and analysis, such as global tech companies and online platforms.

What is the difference between Overnight Meta Data Scientist vs Data Analyst?

AspectOvernight Meta Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; knowledge of machine learning and programmingBachelor's in Data Analysis, Statistics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTypically in tech companies or research labs, often with flexible or overnight shiftsUsually in corporate offices, with standard daytime hours
Employer & Industry UsageTech firms, e-commerce, social media platformsFinance, marketing, healthcare, retail

Overnight Meta Data Scientists focus on advanced data modeling, machine learning, and large-scale data analysis, often working overnight shifts in tech environments. Data Analysts primarily handle data collection, cleaning, and reporting during regular hours. While both roles require strong analytical skills, the Meta Data Scientist role emphasizes technical expertise in algorithms and programming, whereas Data Analysts focus on interpreting data for business insights.

What are the most commonly searched types of Meta Data Scientist jobs in New York? The most popular types of Meta Data Scientist jobs in New York are:
What job categories do people searching Overnight Meta Data Scientist jobs in New York look for? The top searched job categories for Overnight Meta Data Scientist jobs in New York are:
What cities in New York are hiring for Overnight Meta Data Scientist jobs? Cities in New York with the most Overnight Meta Data Scientist job openings:

Associate Director, Epidemiology Analytics

Daiichi Sankyo, Inc.

Basking Ridge, NJ • On-site

Full-time

Posted 25 days ago


Job description

Job Title: Associate Director, Epidemiology Analytics
Job Requisition ID: 1447
Posting Start Date: 5/1/26
At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society.
Job Summary
This position of Associate Director has responsibilities as a safety data scientist in Epidemiology Analytics group of Clinical Safety and Pharmacovigilance (CSPV) at Daiichi Sankyo. This position uses and analyzes both clinical trial data and real-world data (RWD) to support our products under the supervision of the head of Epidemiology Analytics. This position leads the development and implementation of statistical analysis plan to support signal detection and evaluation, risk-benefit assessment, and other drug safety evaluation activities. This position collaborates with internal and external stakeholders including statisticians, epidemiologists, clinical safety and pharmacovigilance, regulatory, clinical, and other project stakeholders. In this position, you will play a critical role in supporting Epidemiologist and Safety Science team during an evaluation of adverse events and assessment of potential risks associated with our pharmaceutical products. We are looking for a detail-oriented, experienced, resilient, and proactive individual with outstanding analytical and communication skills in the industry or service provider settings. If you are driven by a desire to make a positive impact on the enrichment of quality of life around the world, we encourage you to apply for this exciting opportunity.
Responsibilities
Provide data management of diverse data (e.g., real-world setting and clinical trial) to set up epidemiologic data sets for various approaches, quantitative epidemiologic data analysis, interpretation of results, visualization of results, and generate manuscripts to disseminate findings. Conduct statistical analyses for epidemiological research and safety queries, including but not limited to:
o Descriptive summary and multivariable regression
o Exploratory analysis for safety endpoints in clinical trial data
o Setup and analysis of case-control and cohort study designs
o Signal detection analysis in spontaneous reports (e.g., FAERS, EVDAS)
o Signal detection/evaluation analysis in RWD
o Data mining (including free-text mining of unstructured data fields) using diverse data sources and methods
o Development of automation platform (e.g., R Shiny App)
o Literature review and meta-analysis Collaborate with cross-functional teams to evaluate and manage adverse events and risks associated with pharmaceutical products. Participate in cross-functional meetings and provide input and guidance as needed. Participate in the preparation and submission of regulatory documents related to drug safety. Maintain and manage project plans to provide deliverables on time. Collaborate with global epidemiology teams to ensure consistency and quality in safety reporting and processes. Maintain compliance with all applicable regulations and guidelines related to pharmacovigilance and drug safety. Stay informed about emerging safety issues and contribute to the development of risk management strategies. Mentor and provide guidance to junior team members
Qualifications
Education Qualifications
Master's Degree in Biostatistics, Data Science, Statistics, Applied Mathematics, Epidemiology, or related field plus 7 years of experience in epidemiologic methods and data analysis (pharmaceutical industry in safety or associated service provider experience is preferred) required PhD in Biostatistics, Data Science, Statistics, Applied Mathematics, Epidemiology, or related field plus 4 years of experience in epidemiologic methods and data analysis (pharmaceutical industry in safety or associated service provider experience is preferred) preferred
Experience Qualifications
3 or more years of professional experience within the pharmaceutical industry
Demonstrated professional statistician skills and expertise
Proven experience leading large and/or complex statistical programming projects preferred
Experience providing technical and/or programming guidance and mentoring to junior programmers, fellows and team members.
Ability and interest to work across cultures and geographies
Ability to adapt to change and seamlessly assimilate to new projects and stakeholders
Experience developing statistical analysis plan and Meta Data Repositories
Familiarity with data management concepts of non-interventional studies
Strategic thinking
Demonstrate proficiency with programming in R, SAS, SQL, and/or Python for data mining and epidemiologic analysis
Travel Requirements
Ability to travel up to 20% of the time. Both domestic and occasional travel may be required
Additional Information
Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Salary Range:
USD$157,920.00 - USD$236,880.00
Download Our Benefits Summary PDF