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Part Time Data Science Jobs in Cresskill, NJ (NOW HIRING)

Fora

Senior Product Manager, AI Agents & Data

New York, NY · On-site

$160K - $200K/yr

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... Partner with data science, engineering, and analytics to shape models, signals, and data products.

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Part Time Data Science information

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

What Are Part-Time Data Science Jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

Is 40 too late for data science?

Part time data science roles are accessible at any age, including at 40, provided you have relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance your prospects regardless of age.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists with skills in programming, statistical analysis, and machine learning remain essential for developing and managing AI systems. The profession is evolving to include more focus on complex problem-solving, domain knowledge, and ethical considerations.

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

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.

Can you work part-time as a data scientist?

Yes, data science is a field that offers part-time opportunities, especially for freelance or contract roles. These positions often require skills in programming, statistics, and tools like Python or R, and may have flexible schedules to accommodate part-time work arrangements.
More about Part Time Data Science jobs
What are the most commonly searched types of Data Science jobs in Cresskill, NJ? The most popular types of Data Science jobs in Cresskill, NJ are:
What cities near Cresskill, NJ are hiring for Part Time Data Science jobs? Cities near Cresskill, NJ with the most Part Time Data Science job openings:
Part Time Data Science jobs near you

Security Data Science Specialist

MTA Headquarters

New York, NY

$89K - $100K/yr

Full-time, Part-time

Re-posted 5 days ago

Job description

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
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