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Remote Data Science Sports Jobs in Edison, NJ (NOW HIRING)

The position is eligible for 2 days per week remote work. About TLC: The New York City Taxi and ... environmental science or in public health. To be appointed to Assignment Level II and above ...

The position is eligible for 2 days per week remote work. About TLC: The New York City Taxi and ... environmental science or in public health. To be appointed to Assignment Level II and above ...

AlphaSense is seeking a highly analytical, entrepreneurial Sr. Product Data Scientist to serve as ... Ability to work seamlessly with a highly technical remote data team (India) while acting as the ...

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Remote, however travel might be required as per business requirements FTE Only Where you're headed You'll creatively use data to solve business challenges, often uncovering new and transformative ...

... week, pursuant to the Remote Work Pilot Program agreed to between the City and DC37. For ... environmental science or in public health. To be appointed to Assignment Level II and above ...

... week, pursuant to the Remote Work Pilot Program agreed to between the City and DC37. For ... environmental science or in public health. To be appointed to Assignment Level II and above ...

Senior Data Engineer

New York, NY · On-site +1

$116K - $157K/yr

Design, build, and implement generalized large-scale, sophisticated data pipelines using Nifi for downstream analytics and data science for our Sport Performance products. * Design and develop ...

... Science, Machine Learning {+ 15 more} Language English (Required) Language Proficiency - Proficient - C2 Additional Job Location - Job Type Regular Master Skill List - Data Engineering Remote Type ...

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Remote Data Science Sports information

What are the key skills and qualifications needed to thrive as a remote data science sports professional?

To thrive as a Remote Data Science Sports professional, you need a strong background in statistics, data analysis, and sports knowledge, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with programming languages such as Python or R, proficiency in data visualization tools, and experience with machine learning frameworks are typically required. Excellent problem-solving abilities, communication skills, and self-motivation are crucial soft skills for collaborating remotely and translating complex data into actionable insights. These skills ensure accurate sports data modeling, effective remote teamwork, and valuable contributions to decision-making in sports organizations.

What is the difference between Remote Data Science Sports vs Remote Data Analysis Sports?

AspectRemote Data Science SportsRemote Data Analysis Sports
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves modeling and machine learningData interpretation, reporting, and visualization, often in business contexts
Employer & Industry UsageTech companies, sports analytics firms, media outletsSports teams, media companies, sports analytics agencies

Remote Data Science Sports involves advanced modeling, machine learning, and statistical analysis, requiring higher technical credentials. Remote Data Analysis Sports focuses on interpreting data, creating reports, and visualizations. Both roles are common in sports industry analytics but differ in complexity and technical depth.

How do remote data science professionals in the sports industry typically collaborate with coaches and analysts to turn data insights into actionable strategies?

Remote data science professionals in the sports industry often work closely with coaches, analysts, and other stakeholders through regular virtual meetings and collaborative platforms. They translate complex data findings into intuitive visualizations and reports, making it easier for non-technical team members to understand and apply insights. Communication and responsiveness are key, as data scientists may need to quickly adjust analyses based on feedback or new priorities from the sports staff. Building strong relationships and maintaining clear channels of communication help ensure that data-driven recommendations are effectively integrated into training, game strategies, and player development.

What is a remote data science sports job?

A remote data science sports job involves analyzing sports-related data to extract insights, build predictive models, and support decision-making, all while working from a location outside of a traditional office, typically from home. Professionals in this role use statistical methods, programming, and machine learning to evaluate player performance, game strategies, or fan engagement. Their work helps sports teams, leagues, media companies, and betting firms make evidence-based decisions. Remote positions offer flexibility and often require strong communication skills to collaborate with teams virtually. The demand for these roles is growing as the sports industry increasingly relies on data-driven strategies.
What are popular job titles related to Remote Data Science Sports jobs in Edison, NJ? For Remote Data Science Sports jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Sports jobs in Edison, NJ look for? The top searched job categories for Remote Data Science Sports jobs in Edison, NJ are:

Data Scientist

City of New York

Manhattan, NY • On-site, Remote

Full-time

Re-posted 10 days ago


City Of New York rating

7.2

Company rating: 7.2 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

619th of 842 rated public administrative organizations


Job description

Job Description

** Please note that due to city requirements only applicants with a master's degree and at least 3 years of related work experience will be considered. In addition, this position requires a US work authorization as no visa sponsorship is available. The position is eligible for 2 days per week remote work.
About TLC:
The New York City Taxi and Limousine Commission regulates for-hire transportation across NYC taxis, high volume platforms like Uber and Lyft, black cars, commuter vans, and more. We license roughly 180,000 drivers and 116,000 vehicles that conduct nearly a million trips a day. Our work on driver pay standards, accessibility, and traffic safety has become a model for regulators in cities around the world.
About the Role:
We are seeking a Data Scientist that will join the Data Analytics Unit, within TLC's Policy & Community Affairs Division. As a Data Scientist, you will manage our data pipelines, enhance data governance, and bridge the gap between modern cloud-based solutions and legacy systems. Your work will involve building and maintaining the data and the technologies that are tied to our team's ongoing projects such as traffic congestion, fare regulation, driver pay, vehicle electrification, and charging infrastructure.
Reporting to the Director of Data Analytics, the Data Scientist will perform the following tasks:
Data Analysis
- Conduct statistical analysis and produce maintainable and reproducible code to inform policy.
- Manage complex data projects through iterative project cycles, policy and methodology research.
- Respond promptly to ad hoc requests and deliver accurate analysis.
Communication and Collaboration
- Collaborate with other team members on projects to provide support and seek feedback on your own work.
- Present projects to senior staff and external stakeholders.
- Mentor other team members.
- Work with agency leadership from a variety of technical and non-technical backgrounds to produce quality data analysis.
Data Quality Management
- Monitor data quality and completeness of data.
- Maintain documentation of projects and data dictionaries.
- Suggest changes and improvements to our database and aggregate tables
To Apply:
Please go to nyc.gov/jobs and search for Job ID# 779212 or click the "Apply" button below.
Please include both resume and cover letter.
SUBMISSION OF A RESUME IS NOT A GUARANTEE THAT YOU WILL RECEIVE AN INTERVIEW.
APPOINTMENTS ARE SUBJECT TO OVERSIGHT APPROVAL.
*Proposed salary will be determined based on experience and preferred skills of the selected candidate."
Work Location:
New York, NY
CITY RESEARCH SCIENTIST - 21744

Qualifications

1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.
To be appointed to Assignment Level II and above, candidates must have:
1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or
2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or
3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above.
NOTE:
Probationary Period
Appointments to this position are subject to a minimum probationary period of one year.

Additional Information

The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.


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