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Part Time Ibm Data Science Certificate Jobs (NOW HIRING)

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 ...

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 ... AWS Certification such as Solutions Architect or Machine Learning Specialty Certification Clearance:

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 ... AWS Certification such as Solutions Architect or Machine Learning Specialty Certification Clearance:

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 ...

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 ...

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Part Time Ibm Data Science Certificate information

What are some common challenges faced by part-time professionals pursuing the IBM Data Science Certificate while working?

Balancing a part-time job with the rigorous coursework of the IBM Data Science Certificate can be challenging, especially when managing time for assignments and hands-on projects. Many professionals find it helpful to set a consistent study schedule and leverage online forums for peer support. Additionally, applying newly learned concepts to real-world tasks at work can reinforce understanding and make the learning process more practical. Collaboration with colleagues or study groups can also help in overcoming technical difficulties and staying motivated throughout the program.

What jobs can I get with a certificate in data science?

A certificate in data science can qualify you for roles such as data analyst, data scientist, business intelligence analyst, or machine learning engineer. These positions typically require skills in programming languages like Python or R, data visualization, and statistical analysis, often utilizing tools like SQL, Tableau, or Jupyter notebooks.

What are the key skills and qualifications needed to thrive as a Data Scientist with an IBM Data Science Certificate, and why are they important?

To thrive as a Data Scientist, you need a solid understanding of statistics, programming (often in Python or R), and data analysis, typically supported by a relevant degree or certifications like the IBM Data Science Certificate. Familiarity with tools such as Jupyter Notebooks, SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms is essential. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data findings into actionable insights for stakeholders. These competencies are vital for extracting value from data and driving informed decision-making in organizations.

Is the IBM data science professional certificate worth it?

The IBM Data Science Professional Certificate provides foundational skills in data analysis, machine learning, and tools like Python and Jupyter notebooks, which can enhance job prospects in data science roles. However, its value depends on individual career goals and prior experience, and it is often considered a starting point rather than a comprehensive qualification for advanced positions.

What is the difference between Part Time Ibm Data Science Certificate vs Data Analyst?

AspectPart Time Ibm Data Science CertificateData Analyst
CredentialsIBM Data Science Certificate, relevant courseworkTypically a degree in Data Science, Statistics, or related field
Work EnvironmentOnline or part-time, project-basedOffice or remote, data-focused tasks
Industry UsageTraining for entry-level roles, skill developmentAnalyzing data, creating reports, supporting decision-making

The Part Time IBM Data Science Certificate provides foundational skills in data science, ideal for those starting in the field. Data Analysts focus on interpreting data and generating reports. While both roles involve working with data, the certificate emphasizes data science techniques, whereas Data Analysts concentrate on data interpretation and visualization.

Do employers recognize the IBM data science cert?

Employers generally recognize the IBM Data Science Certificate as a valid credential that demonstrates foundational skills in data analysis, machine learning, and tools like Python and SQL. However, its recognition varies by employer and industry, and it is often considered supplementary to hands-on experience and a strong portfolio.

What is a Part Time IBM Data Science Certificate?

A Part Time IBM Data Science Certificate refers to a professional certification program offered by IBM, designed to be completed on a part-time basis. This certificate covers key data science skills such as Python programming, data analysis, machine learning, and data visualization. It is commonly delivered online through platforms like Coursera, allowing learners to study at their own pace while managing other commitments. Earning this certificate can help individuals gain foundational knowledge and practical experience in data science, making it a valuable entry point for those pursuing a career in the field.

Can an IBM certificate get you a job?

An IBM Data Science Certificate can enhance your resume and demonstrate foundational skills in data analysis, machine learning, and programming tools like Python and SQL. While it can improve your chances, securing a job also depends on experience, interview performance, and the job market, as certificates alone do not guarantee employment.
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Infographic showing various Part Time Ibm Data Science Certificate job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Security Data Science Specialist

MTA Headquarters

New York, NY

$89K - $100K/yr

Full-time, Part-time

Posted 24 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
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.

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