Position Information

NY HELPNo

AgencyInformation Technology Services, Office of

TitleSpecial Assistant (Lead Data Scientist)

Occupational CategoryI.T. Engineering, Sciences

Salary GradeNS

Bargaining UnitM/C - Managerial/Confidential (Unrepresented)

Salary RangeFrom $127507 to $160911 Annually

Employment Type Full-Time

Appointment Type Temporary

Jurisdictional Class Exempt Class

Travel Percentage 0%

Schedule

Workweek Mon-Fri

Hours Per Week 37.50

Workday

From 8 AM

To 5 PM

Flextime allowed? No

Mandatory overtime? No

Compressed workweek allowed? No

Telecommuting allowed? Yes

Location

County Albany

Street Address Swan St. Bldg, Core 4, Flr 5

Swan Street Building, Core 4

City Albany

StateNY

Zip Code12220

Job Specifics

Duties Description ITS provides operational support to state agencies on a 24x7x365 basis; some positions may be required to provide this critical service at any time.

Reporting to the Chief Digital Transformation, Data and/or Artificial Intelligence Officers, the Lead Data Scientist will play a crucial role in extracting valuable insights from complex datasets to drive strategic decision-making and solve challenging business problems. The incumbent will be responsible for the entire lifecycle of data science projects, from understanding business needs to deploying and monitoring machine learning models.

• Collaborate with cross-functional teams (e.g., product, engineering, marketing) to identify business opportunities and translate them into data science problems.
• Design and implement data collection, cleaning, and preprocessing pipelines to ensure data quality and integrity.
• Explore, analyze, and interpret large and complex datasets to uncover trends, patterns, and insights.
• Develop and implement statistical models and machine learning algorithms for tasks such as prediction, classification, clustering, and anomaly detection.
• Evaluate model performance using appropriate metrics and iterate to improve accuracy and effectiveness.
• Communicate findings and recommendations clearly and effectively to both technical and non-technical audiences through visualizations, presentations, and reports.
• Deploy and monitor machine learning models in production environments, ensuring scalability and reliability.
• Stay up-to-date with the latest advancements in data science, machine learning, and related technologies.
• Contribute to the development of best practices and standards for data science within the organization.

Minimum Qualifications Master’s degree and six years of relevant experience*

*Ph.D. may substitute for one year of specialized experience

Preferred Qualifications:
• Excellent problem-solving, analytical, and critical thinking skills
• Strong communication, presentation, and interpersonal skills
• Ability to work independently and collaboratively in a fast-paced environment

Additional Comments Fingerprinting and background check are required for employment with ITS.

The Office of Information Technology Services is an equal opportunity employer, and we recognize that diversity in our workforce is critical to fulfilling our mission. We encourage all individuals with disabilities to apply.

Salary Commensurate with experience
Telecommuting will be discussed after a year.
Benefits of Working for NYS
Generous benefits package, worth 65% of salary, including:

Holiday & Paid Time Off
* Thirteen (13) paid holidays annually
* Up to Thirteen (13) days of paid vacation leave annually
* Up to Five (5) days of paid personal leave annually
* Up to Eight (8) days of paid sick leave annually
* Up to three (3) days of professional leave annually to participate in professional development

Health Care Benefits
* Eligible employees and dependents can pick from a variety of affordable health insurance programs
* Family dental and vision benefits at no additional cost

Additional Benefits
* New York State Employees’ Retirement System (ERS) Membership
* NYS Deferred Compensation
* Access to NY 529 and NY ABLE College Savings Programs, as well as U.S. Savings Bonds
* Public Service Loan Forgiveness (PSLF)
* And many more

Some positions may require additional credentials or a background check to verify your identity.

How to Apply

Name Gina Patrizio

Telephone 518-473-0398

Fax 518-402-4924

Email Address PostingResponses@its.ny.gov

Address

Street NYS Office of Information Technology Services

Swan St Building, Core 4

City Albany

State NY

Zip Code 12220

 

Notes on ApplyingTo apply, please submit a cover letter and resume. Please indicate that you are applying for the Special Assistant (Lead Data Scientist),ID 189393 in the subject of your email.

Your Social Security Number may be required in order to confirm your eligibility.