ZipRecruiter

Log In

2

Part Time Reddit Data Science Jobs (NOW HIRING)

Rutgers University

$2.7K/wk

Position Information Recruitment/Posting Title Lecturers, Data Science Department Mathematics ... Position Status Part Time Posting Number 25FA1013 Posting Open Date Posting Close Date ...

Rutgers University

Lecturers, Data Science

Camden, NJ · On-site

$2.7K/wk

Position Details Position Information Recruitment/Posting Title Lecturers, Data Science Department ... Position Status Part Time Posting Number 25FA1013 Posting Open Date Posting Close Date ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site

$112K - $257K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Rutgers University

Lecturers, Data Science

Camden, NJ · On-site

$2.7K/wk

Position Details Position Information Recruitment/Posting Title Lecturers, Data Science Department ... Position Status Part Time Posting Number 26FA0415 Posting Open Date Posting Close Date ...

Booz Allen Hamilton, Inc.

Data Scientist

Liberty, NC · On-site

$99K - $225K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Fayetteville, NC · On-site

$99K - $225K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

DePaul

Adjunct Faculty in Data Science

Chicago, IL · On-site

Adjunct Faculty in Data Science Full-time Faculty Positions Full-time faculty positions will be ... Part-time Faculty Positions DePaul University invites expressions of interest for a pool of ...

next page

Showing results 1-20

All JobsPart Time Reddit Data Science Jobs

Part Time Reddit Data Science information

Is it possible to work part-time as a data scientist?

Part-time data science roles are available and typically involve fewer hours than full-time positions, often focusing on specific projects or consulting work. These roles may require strong skills in programming, statistics, and tools like Python or R, and can be suitable for individuals seeking flexible schedules or supplementing other employment.

How does a part-time Reddit Data Science role typically collaborate with other teams or departments?

In a part-time Reddit Data Science role, you'll often work closely with product managers, engineers, and community managers to analyze user behavior and derive actionable insights. Collaboration is usually facilitated through regular team meetings, shared dashboards, and project management tools. Although you're part-time, clear communication and timely updates are essential to ensure your contributions align with ongoing projects and team goals. This cross-functional teamwork helps integrate data-driven decisions into Reddit's product development and community engagement strategies.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the difference between Part Time Reddit Data Science vs Part Time Reddit Data Analysis?

AspectPart Time Reddit Data SciencePart Time Reddit Data Analysis
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RDegree in Data Analysis, Statistics, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused projects, often in tech or research companiesBusiness environments, reporting, and insights generation, often in marketing or e-commerce
Employer & Industry UsageTech companies, research institutions, startupsMarketing agencies, retail, finance, and consulting firms

Part Time Reddit Data Science involves building models, algorithms, and predictive analytics, requiring programming skills and a strong statistical background. In contrast, Part Time Reddit Data Analysis focuses on interpreting data, creating reports, and providing actionable insights using visualization tools. Both roles are essential in data-driven decision-making but differ in technical complexity and focus.

What are part-time Reddit data science jobs?

Part-time Reddit data science jobs involve analyzing and interpreting data from Reddit, often to uncover trends, user behavior, or content performance. Professionals in these roles typically use programming languages like Python or R, and apply statistical methods or machine learning to Reddit's large datasets. These jobs can include tasks such as building dashboards, sentiment analysis, or supporting research projects, all on a part-time schedule. They are suitable for students, freelancers, or professionals seeking flexible work arrangements.

What are the key skills and qualifications needed to thrive as a Part-Time Reddit Data Scientist, and why are they important?

To excel as a Part-Time Reddit Data Scientist, you need strong skills in statistical analysis, data modeling, and programming (often in Python or R), typically supported by a degree in a relevant field like computer science, statistics, or mathematics. Familiarity with Reddit’s data APIs, SQL databases, and data visualization tools such as Tableau or Power BI is commonly required. Critical thinking, problem-solving, and clear communication are essential soft skills for interpreting data and presenting insights to diverse stakeholders. These abilities enable effective data-driven decision-making and impactful contributions within a flexible, often remote work environment.

Will AI replace data scientists in 2050?

Part-time Reddit data scientists, like all data professionals, will likely see AI tools automate routine tasks such as data cleaning and basic analysis by 2050. However, complex problem-solving, domain expertise, and interpreting insights will still require human judgment and advanced skills, making complete replacement unlikely.

Is 30 too late for data science?

Part Time Reddit Data Science roles, like many data science positions, do not have strict age limits. Success depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding data analysis tools. Age should not be a barrier if you develop relevant expertise and stay current with industry trends.
More about Part Time Reddit Data Science jobs
What cities are hiring for Part Time Reddit Data Science jobs? Cities with the most Part Time Reddit Data Science job openings:
What are the most commonly searched types of Reddit Data Science jobs? The most popular types of Reddit Data Science jobs are:
What states have the most Part Time Reddit Data Science jobs? States with the most job openings for Part Time Reddit Data Science jobs include:
What job categories do people searching Part Time Reddit Data Science jobs look for? The top searched job categories for Part Time Reddit Data Science jobs are:
Part Time Reddit Data Science jobs near you
Security Data Science Specialist

Security Data Science Specialist

Metropolitan Transportation Authority

New York, NY • On-site

$89K - $100K/yr

Full-time, Part-time

Posted 8 days ago

Metropolitan Transportation Authority rating

7.5

Company rating: 7.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

38th of 76 rated public transport

Job description

Description
Position at MTA Headquarters
JOB TITLE:
Security Data Science Specialist
DEPT/DIV:
Security
SUPERVISOR:
Director, Data Info & Analysis
WORK LOCATION:
2 Broadway, New York, NY 10004
HOURS OF WORK:
8:00 am - 4:30 pm (7.5 hours/day) or as required
FULL/PART-TIME
FULL
SALARY RANGE:
$89,404 - $100,582
DEADLINE:
Until filled
This position is eligible for telework, which is currently one day per week. New hires are eligible to apply 30 days after their effective date of hire.
Opening:
The Metropolitan Transportation Authority is North America's largest transportation network, serving a population of 15.3 million people across a 5,000-square-mile travel area surrounding New York City, Long Island, southeastern New York State, and Connecticut. The MTA network comprises the nation's largest bus fleet and more subway and commuter rail cars than all other U.S. transit systems combined. MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding opportunities.
Job Summary:
The security data science specialist within MTA HQ's Office of Security will be tasked with collecting and utilizing highly sensitive police and security data, information, and intelligence sets from all MTA Police and Security operating departments. This will include incident reports, surveillance footage, threat assessments, and criminal records. This data will be meticulously compiled, validated, and analyzed to identify critical security trends, emerging threats, and operational vulnerabilities, thereby supporting a comprehensive, risk-based approach to all MTA and Security Operations.
The primary duties of the incumbent will be focused on data gathering, transformation, synchronization, and modeling. This work will require experience in languages such as SQL and Python, as well as supporting the design and deployment of robust data architecture and analytics strategies tailored to diverse datasets and complex analytical challenges. Responsibilities include working on detailed record-keeping processes, conducting advanced data analysis, preparing comprehensive reports, and developing actionable, data-driven strategies aligned with worldwide, regional, and local security, law enforcement, terrorism, and crime prevention initiatives.
The role requires a detail-oriented, proactive approach, with the ability to manage assigned priorities under strict deadlines while providing excellent communication skills to present findings to both technical and nontechnical audiences.
Responsibilities:
  • Writing code that will combine and transform datasets to meet a specific Security & Police need.
  • Design and implement quality controls to ensure output data is valid, accurate, and user-friendly. Coordinating with internal and external police and/or security data leads to addressing data quality problems. Enhance the quality and usability of legacy datasets and systems that may be lacking in compatibility or common field types.
  • Developing reports and dashboards in a variety of formats (Excel, Power BI, Report Builder, ArcGIS, automated emails, etc.) to share finished analysis with stakeholders.
  • Lead specific data team projects/recurring tasks such as monitoring, analyzing, synthesizing, and reporting on confidential and sensitive open-source and police, intelligence, and security information sources to inform the overall MTA security strategy.
  • Utilize internal systems, tools, and processes to record and track MTA security incident data to identify trends and patterns. Suggest methods to ensure data integrity and improve data collection, processes, and presentation.
  • Collaborate with stakeholders and leadership to understand reporting needs and design outputs to achieve them. Produce the final design and workflows in consultation with senior managers. Outline project requirements and problems as action plans that can be assigned to more junior team members. Ensure project process and outputs are properly documented for continuity and presentation to Senior Security Management.
  • Providing support and instruction (in both business knowledge and coding practices) to analysts and consultant staff.
  • Keeping skills current by learning new algorithms, programming languages, and techniques.

Required Knowledge/Skills/Abilities:
  • Proficiency in data management, including knowledge of statistics, quantitative and qualitative data analysis, empirical research methods and procedures such as sampling and surveying techniques, and analytical skills. Additionally, they will have the capability to stay current with technical innovation and trends in data science.
  • Experience in developing and analyzing algorithms, dashboards, and/or predictive models to support security and/or policing functions and investigative methodologies.
  • Proven ability to manage team-based projects, completing both short-term and long-term initiatives efficiently and effectively. Experience in documenting processes and quality checks.
  • Strong skills in database design and management with the ability to read code and interpret data.
  • Demonstrated proficiency with data processing, statistical software and management support tools, including Microsoft Office Suite or comparable applications, advanced Excel analysis, and business intelligence tools (e.g., Power BI, Tableau).
  • Experience in supervising staff performing analytical duties.
  • Familiarity with transportation systems and planning theory & practice, particularly the MTA subway, bus, and railroad networks.

Required Education and Experience:
  • Bachelor's Degree in Arts/Sciences (BA/BS) in Security, Criminal Justice, Homeland Security, Mathematics, Psychology, Sociology, Public Administration, Computer Science, Engineering, Information Management, Statistics, Data Science, Data Engineering, Mathematics, Public Policy or a related field from an accredited college or an equivalent combination of education from an accredited college and experience may be considered in lieu of a degree.
  • Minimum 3 years of professional experience in data, information, and analysis or performing statistical analysis and research, analyzing data, developing recommendations, implementing strategies, and preparing reports with similar programming and data management content. A master's degree may substitute for one year of experience.
  • Minimum 3 years of professional experience building datasets, automating tasks through scripts, writing database queries, and debugging/ maintaining code.
  • Minimum 4 years of experience with Python and SQL programming.
  • Minimum 3 years of experience with relational databases (e.g., Oracle, Postgres, SQL Server), including writing queries (generally with PL/SQL) to obtain and manipulate data.
  • A valid driver's license is required.

The Following is/are preferred:
  • Master's degree in Arts/Sciences (MA/MS) in Security, Criminal Justice, Homeland Security, Mathematics, Psychology, Sociology, Public Administration, Computer Science, Engineering, Information Management, Statistics, Data Science, Data Engineering, Mathematics, Public Policy or a related field from an accredited college. A Master's degree can account for one year of related experience.
  • Demonstrated experience meeting report filing deadlines for analysis reports with recommendations, strategy implementations, and statistical findings at an executive level, interpersonal, organizational, and presentation skills with the ability to think at a policy and strategic level.
  • A working knowledge of project management principles and/or data analysis, predictive analytics, and experience in their application is desirable.
  • A working knowledge and understanding of the following are highly desirable: Federal, State, and NYC security and penal regulations and laws.
  • Familiarity with the MTA's policies and procedures.
  • Familiarity with the MTA's collective bargaining procedures.
  • Familiarity with data exploration/data visualization tools like Tableau, Power BI, Web Focus, etc.
  • Familiarity with GIS mapping of data or equivalent geospatial application.

Other Information
May need to work outside of normal work hours (i.e., evenings and weekends)
Travel may be required to other MTA locations or other external sites.
According to the New York State Public Officers Law & the MTA Code of Ethics, all employees who hold a policymaking position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the "Commission").
Equal Employment Opportunity
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including those concerning veteran status and individuals with disabilities.
The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

What Metropolitan Transportation Authority employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply