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Data Scientist I Jobs (NOW HIRING)

Bank of America

Data Scientist I

New York, NY · On-site

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 ...

RELX

Data Scientist

Alpharetta, GA · On-site

About our Team We are looking for a Sr. Data Scientist I with strong expertise in statistics/modeling and machine learning to join our diverse team of data scientists on the Auto Insurance Rating ...

Mastercard, Inc.

Data Scientist I

Salt Lake City, UT · On-site

Title and Summary Data Scientist I Who is Mastercard? As a global technology company our mission at Mastercard is to connect and power an inclusive, digital economy that benefits everyone, everywhere ...

RELX Group plc

Data Scientist

Alpharetta, GA · On-site

About our Team We are looking for a Sr. Data Scientist I with strong expertise in statistics/modeling and machine learning to join our diverse team of data scientists on the Auto Insurance Rating ...

EOG Resources, Inc.

Data Scientist I

Houston, TX · On-site

... data sets. Must have knowledge of machine learning, analytical, visualization and programming. * Bachelor's or Master's degree in Petroleum Engineering, Economics, Computer Science, Electrical ...

Brewer Science, Inc.

Principal, Data Scientist

Principal Data Scientist I * Lead the development and execution of complex, organization-wide data science strategies aligned with business objectives. * Design and implement sophisticated machine ...

Lendistry

Data Scientist I

Lumberton, NC · On-site

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 ...

Exelixis

Senior AI Data Scientist I

Alameda, CA · On-site

SUMMARY/JOB PURPOSE The Senior AI Data Scientist I develops, trains and validates AI/ML models and analytics solutions that transform complex clinical datasets into analysis-ready deliverables ...

LexisNexis

Principal Data Scientist I

Raleigh, NC · Hybrid

$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 ...

Exelixis

Senior AI Data Scientist I

Alameda, CA

SUMMARY/JOB PURPOSE The Senior AI Data Scientist I develops, trains and validates AI/ML models and analytics solutions that transform complex clinical datasets into analysis-ready deliverables ...

Exelixis

Senior AI Data Scientist I

Alameda, CA · On-site

SUMMARY/JOB PURPOSE The Senior AI Data Scientist I develops, trains and validates AI/ML models and analytics solutions that transform complex clinical datasets into analysis-ready deliverables ...

LexisNexis

Principal Data Scientist I

Raleigh, NC · Hybrid

$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 ...

LexisNexis

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 ...

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Data Scientist I information

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How much do data scientist i jobs pay per year?

As of Sep 13, 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.
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Data Scientist I jobs near you
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

New York, NY • On-site

Bank of America
Finance and Insurance • 10K+ employees
Learn more about Bank of Americaexternal

Full-time

PTO

Re-posted 11 days ago

Key responsibilities

  • Translate complex data science and machine learning concepts into actionable insights and models.

  • Collaborate with stakeholders to identify opportunities for leveraging data to drive business solutions.

  • Develop and deploy statistical models and machine learning algorithms into production systems.

Bank Of America rating

8.3

Company rating: 8.3 out of 10

Based on 539 frontline employees who took The Breakroom Quiz

Job description

Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description:
The Data and AI team within Global Payment Solutions (GPS) at Bank of America is looking for a highly technical Research Engineer that is a self-starter who can translate complex concepts and generate actionable insights.
Who we are:
The GPS Data and AI team drives and powers innovation within the one of the largest payment businesses in the world. 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 begins. Many of our projects begin with "think tank" sessions with business teams that is later translated to tangible solutions and products.
Representative Projects:
  • Develop advanced statistical methods to determine the optimal interest-rate or product pricing strategies for clients
  • Build a Generative AI-powered search platform that enables sales and product teams to access high quality answers to product, servicing, and client related questions
  • Develop AI models that shift foreign currency conversion "up the payment stream," reducing reliability on beneficiary banks
  • Apply advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, helping servicing teams anticipate client needs and improve service quality

Who we're looking for:
As a Research Engineer on the GPS team, you will tackle one of our most import challenges: building models that transform data into revenue-driving insights and products. This role blends research, engineering, and product responsibilities, requiring you to design statistical models, build scalable ML pipelines, and deploy algorithms directly into our production systems. You will work across teams to solve problems in recommendation, stochastic optimization, and time-series forecasting; while running large A/B tests on new methods we design to push the boundaries of what data can achieve.
If you are passionate about working in cross-functional teams and utilizing your skills for technical product management, statistical analytics, predictive modeling, and generating revenue, consider applying to this role.
Responsibilities:
  • Frame abstract business problems using advanced data science and machine learning algorithms
  • Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions
  • Own critical research and application development, strengthening the firm's competitive advantage
  • Shape cross-team collaboration to advance the firm's data science capabilities

Required Skills:
  • Minimum Bachelor's degree in a quantitative field such as computer science, math, statistics, and physics
  • Minimum 3 years of experience with translating mathematical models and algorithms into code (Python and/or C++)
  • Strong foundation in probability, statistics, and applied machine learning (NLP, time-series analysis, Generative AI)
  • Prior experience working in a highly technical data driven research environment
  • Ability to communicate complex topics in a concise and coherent manner

Desired Skills:
  • Graduate level degree in a quantitative field such as, computer science, math, statistics, and physics
  • Demonstrated prior experience through work, research or passion projects in RAG, Agentic Frameworks, LLMs, Reinforcement Learning
  • Are energized by the high stakes and intensity of dynamic environments and ready to dive in whenever
  • Are excited to dive into new technical areas on a regular basis

Shift:
1st shift (United States of America)
Hours Per Week:
40
Pay Transparency details
US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100)
Pay and benefits information
Pay range
$107,300.00 - $193,200.00 annualized salary, offers to be determined based on experience, education and skill set.
Discretionary incentive eligible
This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
Benefits
This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

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About Bank Of America

Sourced by ZipRecruiter

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

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