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Data Scientist I Jobs (NOW HIRING)

Data Scientist I

Watertown, MA · On-site

$110K - $125K/yr

Emily Strong - Senior Manager, Data Science Location: Watertown, MA (ButcherBox Headquarters) Base Salary: $110,000-125,000 About the Role We are looking for a Data Scientist I to discover impactful ...

Data Scientist I

New York, NY · Hybrid

$119K - $156K/yr

We're hiring a Data Scientist I to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

Emily Strong - Senior Manager, Data Science Location: Watertown, MA (ButcherBox Headquarters) Base Salary: $110,000-125,000 About the Role We are looking for a Data Scientist I to discover impactful ...

As a Human Performance Data Scientist I supporting our customer, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Human Performance Data Scientist I joining our team.

Data Scientist I

New York, NY · On-site

$119K - $156K/yr

We're hiring a Data Scientist I to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

Data Scientist I

Chicago, IL · On-site

$95K - $113K/yr

Data Scientist I Location : Chicago, IL Office : 3 days/week in South Loop office Reports to : Chief Technology Officer (CTO) About Tavern Research Tavern Research is a political tech startup ...

Data Scientist I

Watertown, MA · On-site

$110K - $125K/yr

Emily Strong - Senior Manager, Data Science Location: Watertown, MA (ButcherBox Headquarters) Base Salary: $110,000-125,000 About the Role We are looking for a Data Scientist I to discover impactful ...

A Day in the Life The Data Scientist I will support the management and implementation of new strategies on our decision-making platform. Additionally, the Data Scientist will help shape business ...

Data Scientist I supports government and program teams by assisting with data analysis, visualization, and reporting to inform mission, operational, and business decisions under senior supervision.

We're seeking a Data Scientist who combines technical expertise with strong interpersonal skills to collaborate directly with customers, understand their unique challenges, and develop data-driven ...

Principal Data Scientist I

Raleigh, NC · On-site

$118K - $219K/yr

Principal Data Scientist I Are you looking to develop your Data Scientist career? Would you like to be part of a team that innovates using technology? Responsibilities * Acting as a leader for ...

We are the core data scientists building end-to-end production level solutions at scale. The team is a collection of individuals that welcomes challenging problems because that is where the learning ...

Responsibilities Arcfield is looking for an entry-level DATA SCIENTISTS to serve as an essential member of a team responsible for transforming raw data into meaningful insights and tools that improve ...

Data Scientist I

Saint Louis, MO · On-site

$70K - $110K/yr

We're seeking a Data Scientist who combines technical expertise with strong interpersonal skills to collaborate directly with customers, understand their unique challenges, and develop data-driven ...

Showing results 21-40

Data Scientist I information

See salary details

$37.5K

$122.7K

$196.5K

How much do data scientist i jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data scientist i in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Data Scientist I?

A Data Scientist I is an entry-level professional who uses statistical methods, programming, and analytical skills to extract meaningful insights from data. They typically work with large datasets, clean and prepare data, and apply basic machine learning algorithms under the guidance of more experienced data scientists. Data Scientist I roles often involve collaborating with engineers and business analysts to solve problems and drive data-driven decision making within an organization.

What are the key skills and qualifications needed to thrive as a Data Scientist I?

To thrive as a Data Scientist I, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with data analysis tools (such as Pandas, NumPy, or SQL), machine learning libraries, and data visualization software is commonly required. Effective communication, curiosity, and problem-solving abilities are crucial soft skills for translating complex data findings into actionable insights. These skills ensure accurate data-driven decision-making and enable collaboration within multidisciplinary teams.

What are some common challenges faced by a Data Scientist I when transitioning from academia to an industry role?

One of the main challenges for Data Scientist I professionals moving from academia to industry is adapting to the fast-paced, results-driven environment where business impact is prioritized over theoretical depth. Unlike academic projects, industry tasks often require quick prototyping, collaboration with cross-functional teams, and communicating findings to non-technical stakeholders. Additionally, handling real-world datasets—which can be messy or incomplete—requires practical problem-solving skills. Support from more experienced team members and ongoing learning typically help new hires adjust and grow in their roles.

What is the difference between Data Scientist I vs Data Analyst?

AspectData Scientist IData Analyst
Required CredentialsBachelor's degree in CS, Statistics, or related field; some roles prefer certifications in data science or analyticsBachelor's degree in related fields; certifications like Microsoft Excel, SQL, or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and performs advanced analyticsFocuses on data reporting, visualization, and basic analysis for business insights
Employer & Industry UsageUsed across tech, finance, healthcare, and retail industries for predictive modelingCommon in marketing, finance, and operations for reporting and data management

While both roles involve working with data, a Data Scientist I typically handles more complex modeling and machine learning tasks, whereas a Data Analyst focuses on data reporting and visualization. The roles often overlap in skills like SQL and Excel, but Data Scientist I positions usually require a stronger foundation in statistics and programming.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. They analyze large datasets, develop predictive models, and use tools like Python, R, and SQL to support decision-making across various industries.
More about Data Scientist I jobs

What cities are hiring for Data Scientist I jobs?

Cities with the most Data Scientist I job openings:

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What are popular job titles related to Data Scientist I jobs?

For Data Scientist I jobs, the most frequently searched job titles are:

Infographic showing various Data Scientist I job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist I

Fairport, NY • On-site

$71K - $75K/yr

Full-time

Posted 5 days ago


Job description

Job Title: Data Scientist I

**This is a Hybrid position based out of the Fairport, New York Office**

Position Summary

The Data Scientist will assist in developing, implementing, and automating predictive analytical models leveraging the Company’s data assets and statistical analysis tools. The Analyst will provide support for mining data to identify behavior patterns, predict trends, and forecast outcomes to support data-driven decisions and drive change to increase efficiencies and insights. This position will report to the Director, Information Analysis and will have regular communication with business management to support projects, enhancements, and exploratory requests. The Data Scientist will participate in projects aligned with the Company’s Strategic Business Plan, process improvement activities, and cross functional data/system management projects that align data and expected results.

Essential Duties & Responsibilities:

  • Assist with analyzing, documenting, and automating existing manual predictive models using statistical analysis and data discovery tools
  • Assist with developing automated standard analyses, predictive and descriptive models to support consumer collection analytics 
  • Leverage the data warehouse, operational systems, existing models, and syndicated data to assist in producing data discoveries which will be presented to and utilized by the Executive Team
  • Provide ad hoc data mining support to business functions
  • Maintain working relationships with IS, Finance, and Operations with the focus on understanding the data sources used by the Company for decision support 
  • Maintain working relationships with peers and vendors supporting the ongoing projects and delivered solutions
  • Adhere to ConServe’s Blueprint Quality Management System, Code of Conduct, and Compliance Program

Non-Essential Duties & Responsibilities:

  • Other duties as assigned.

Education: 

  • Bachelor’s Degree
  • Bachelor’s Degree in Data Science, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, Engineering, or related discipline preferred
  • Master’s Degree in Data Science, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, Engineering, or related discipline highly preferred

Skills/ Requirements:

  • One (1) year of hands-on academic and/or work experience in complex analysis and hands-on development of analytics and decision support models 
  • One (1) year required, two (2) years preferred academic and/or work experience in R, SAS, SPSS or related software packages 
  • Related work experience with SQL and data warehouse and business intelligence tools preferred
  • Related work experience in gathering requirements from business management teams for business analysis and management preferred
  • Working knowledge of application development experience within a Microsoft Office environment using SQL Server, Excel, Access, and VBA preferred
  • High aptitude for problem solving and analytical thinking
  • Highly organized, able to work independently, motivated to successfully meet deadlines, attention to detail, and ability to multi-task
  • Excellent interpersonal, oral, and written communications skills with the ability to communicate technical solutions to non-technical audiences
  • Will be affiliated with the Fairport, New York Office and must travel to this office or other offices when required. 
  • A secure internet connection, to plug in ConServe equipment into a hardline Ethernet port when working remote.
  • A private work area in which work activities can be conducted
  • U.S. Citizenship or lawful Permanent Resident alien with three or more years as a permanent resident in the United States.
  • Ability to obtain and maintain Government Security Clearance 
  • No Conflict of Interest with ConServe or our Clients 

MISSION STATEMENT:
 ConServe is dedicated to satisfying the needs of our Clients in a manner consistent with improving the human condition, and that will foster the development of long term mutually beneficial relationships with our Clients, our Employees, our Suppliers and Business Partners and the Community as a whole.

Disclaimer: The above job description is not a contractual or binding document; it is provided as a guide to the types of duties required to be undertaken. Duties may vary from time to time and this description is subject to review. Modifications will be made as needed to support changes in the business climate and requirements. 

Qualified applicants will receive consideration for employment regardless of age, race, color, religion, national origin, sex, sexual orientation, gender, gender identity/expression, genetic disposition, genetic markers/carrier status, disability, creed, veteran status, military status, status as a victim of domestic violence, marital status, familial status, pregnancy, childbirth and related medical conditions, and disability, conviction (limited) or other legally protected status.

ConServe is a Drug Free Workplace