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Data Science Specialist Jobs (NOW HIRING)

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Adidev Technologies is a ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Adidev Technologies is a ...

... Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Adidev Technologies is a growing software ...

... Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Adidev Technologies is a growing software ...

$8 - $65/hr

That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for science specialists who live and breathe physical science, earth science ...

... data entry, and generates reports, and reviews scientific and technical literature to maintain a ... As a Plant Science Specialist, you will: * Evaluate and assess enforcement, training, and ...

... data entry, and generates reports, and reviews scientific and technical literature to maintain a ... As a Plant Science Specialist, you will: * Evaluate and assess enforcement, training, and ...

... data entry, and generates reports, and reviews scientific and technical literature to maintain a ... As a Plant Science Specialist, you will: * Evaluate and assess enforcement, training, and ...

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Data Science Specialist information

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$33K

$81.5K

$140K

How much do data science specialist jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data science specialist in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

Is data science high paying?

Data science specialists typically earn high salaries due to the demand for skills in statistics, programming, and machine learning. Salaries vary by experience, location, and industry, but data science roles are generally considered well-compensated within the tech and analytics fields.

What is the difference between Data Science Specialist vs Data Analyst?

AspectData Science SpecialistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; certifications like Certified Data ScientistBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentCollaborates with data engineers, data scientists, and business teams; often in tech or finance industriesWorks with business teams to interpret data; common in retail, healthcare, and marketing sectors
Employer & Industry UsageUsed by tech companies, financial institutions, and large enterprises for advanced analyticsWidely employed across various industries for reporting and basic data insights

The main difference between a Data Science Specialist and a Data Analyst lies in their focus and skill set. Data Science Specialists handle complex modeling, machine learning, and predictive analytics, often requiring advanced technical skills and certifications. Data Analysts primarily focus on data reporting, visualization, and descriptive analytics. Both roles are essential but serve different purposes within organizations.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Chief Data Officer, or Data Science Director, with salaries exceeding $150,000 annually. These roles typically require extensive experience, advanced skills in machine learning, and leadership responsibilities.

Is 40 too late for data science?

Data Science Specialists can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

What does a data science specialist do?

A data science specialist analyzes large datasets to extract insights, develop predictive models, and support decision-making processes. They use tools like Python, R, and SQL, and often work with machine learning algorithms to solve complex business problems.
More about Data Science Specialist jobs
What states have the most Data Science Specialist jobs? States with the most job openings for Data Science Specialist jobs include:
Infographic showing various Data Science Specialist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.
Applied Data Science Specialist

Applied Data Science Specialist

Child Mind Institute

Manhattan, NY โ€ข On-site

$96K - $120K/yr

Full-time

Medical, Retirement

Re-posted 8 days ago


Job description

About Child Mind Institute

We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments.


Position Details:

As part of the Center for Data Analytics, Innovation, and Rigor team, you will report to Technical Project Manager. You will will design and conduct advanced data analyses and develop machine learning models for use in mental health research. You will perform analyses on large datasets, collected using a range of multi-modal methods, including cognitive assessments (both paper-and-pencil and digitized formats), surveys, and other multimodal biometric modalities. You will be chiefly responsible for the design, documentation, and execution of experiments that advance our understanding of both existing data collection and assessment tools in the mental health space, as well as downstream analytic models that seek to apply these measurements..


This is an exempt, full-time, hybrid this position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor in our NYC headquarters office. The in-office requirement and schedule are subject to change based on the needs of the program and the organization.


You Will:

  • Design and implement analytical workflows including data preprocessing, feature engineering, model development, scientific analyses, data visualization, and validation.

  • Contribute to effective, scalable, well-documented code that is suitable for high performance computing ecosystems and shared to GitHub, or equivalent,repositories for version control.

  • Perform organization, aggregation, pre-processing, and analysis of large data sets using high-performance computing infrastructures.

  • Apply both pre-trained and custom-made machine learning models and data manipulation pipelines to research and clinical contexts, ensuring the responsible handling of sensitive data.

  • Write documentation and text for scientific or public dissemination of knowledge and attend and present at meetings.

  • Assist with the definition of project and collaboration objectives, tasks, and deliverables at the outset of new efforts, and support ongoing monitoring of progress and alignment.

  • Perform additional job-related duties as assigned


You Have:

  • Bachelor's in Neuroscience, Psychology, Engineering, Computer Science orequivalent combination of education and experience.

  • 5+ years of experience in data analysis and data science fundamentals (e.g.,algorithms, data structures, data visualization, machine learning), preferably in aclinical or research setting.

  • 5+ years of experience including education in at least one scientific programminglanguage (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g.,Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required.

  • 3+ years of experience including education working in a Linux environment, usingversion control systems (e.g., GitHub), and software virtualization platforms (e.g.,Docker).

  • 3+ years of practical experience designing and developing ML and NLPtechnologies using ML and NLP toolchains (e.g., pytorch, tensorflow, SpaCy,HuggingFace, NLTK.)


#LI-remote, #LI-on-site, #LI-hybrid.


Our Benefits


Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website.


Pay Range

The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting.


EEO Disclaimer

Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind.


We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws.


In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL).


Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org


This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.