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Data Science Jobs in Ridgefield, CT (NOW HIRING)

Develop, test, and deploy advanced data science solutions using programming languages such as Python and SQL to address complex business challenges. Analyze business problems to identify root causes ...

Bachelor in Data Science, Statistics, Operations Research, Computer Science, Engineering, Economics, or a related quantitative discipline is required. • Experience: 7+ years of experience in ...

Responsibilities The Data Science Associate Principal Scientist will: * Own and operate the oneNA category forecasting engine across PBUS, PFUS, and future Quaker and Canada F&B markets. * Modernize ...

Responsibilities The Data Science Associate Principal Scientist will: * Own and operate the oneNA category forecasting engine across PBUS, PFUS, and future Quaker and Canada F&B markets. * Modernize ...

Senior Data Scientist

Purchase, NY · On-site

$93K - $156K/yr

Responsibilities The Data Science Associate Principal Scientist will: * Own and operate the oneNA category forecasting engine across PBUS, PFUS, and future Quaker and Canada F&B markets. * Modernize ...

This role will challenge the status quo, apply modern data science and AI approaches, and translate complex analyses into clear, actionable insights. Write production-quality code for data wrangling ...

Staff, Data Scientist

White Plains, NY · On-site

$132K - $264K/yr

Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights. * Build and train ...

This multidisciplinary group combines AI, software engineering, and data science to develop autonomous AI agents, deploy reliable applications, and build core engineering capabilities at enterprise ...

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Data Science information

See Ridgefield, CT salary details

$37.3K

$122.2K

$195.7K

How much do data science jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data science in Ridgefield, CT is $122,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $135,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
What are the most commonly searched types of Data Science jobs in Ridgefield, CT? The most popular types of Data Science jobs in Ridgefield, CT are:
What are popular job titles related to Data Science jobs in Ridgefield, CT? For Data Science jobs in Ridgefield, CT, the most frequently searched job titles are:
What cities near Ridgefield, CT are hiring for Data Science jobs? Cities near Ridgefield, CT with the most Data Science job openings:
Infographic showing various Data Science job openings in Ridgefield, CT as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $122,241 per year, or $58.8 per hour.
(USA) Principal, Data Scientist

(USA) Principal, Data Scientist

Walmart

White Plains, NY • On-site

$132K - $264K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,817 frontline employees who took The Breakroom Quiz

22nd of 39 rated national retailers


Job description

Position Summary...What you'll do...Role summary:
As a Principal Data Scientist at Walmart, you will lead the development and deployment of advanced analytical models Leveraging sophisticated techniques such as Double Machine Learning and Causal Modeling, you will generate robust, data-driven insights that inform strategic decision-making and drive measurable impact. You will collaborate across functions to translate business needs into innovative strategies, mentor team members, and ensure the quality and impact of data insights. Your work will directly influence decision-making and operational efficiency, supporting Walmart’s commitment to excellence and continuous improvement through cutting-edge data science practices.
  About the team:
The Sandman/Ad-tech team consists of experienced Machine Learning Engineers, Data Scientists, and Full Stack technologists focused on delivering scalable, data-driven solutions for Walmart. This multidisciplinary group integrates expertise in AI, software engineering, and data science to develop autonomous AI agents, deploy reliable applications, and build core engineering capabilities at enterprise scale. Utilizing data, AI, and agile methods, the team drives innovation that enhances operational efficiency and supports Walmart’s mission. Collaboration within the team fosters the creation of intelligent systems that improve business performance across the organization.
  What you'll do: Develop, test, and deploy advanced data science solutions using programming languages such as Python and SQL to address complex business challenges. Analyze business problems to identify root causes and recommend data-driven approaches aligned with strategic objectives. Identify, source, and validate high-quality data from multiple systems to support analytical modeling and insights generation. Lead the design and implementation of machine learning models, including feature engineering, model tuning, and validation to ensure accuracy and robustness. Collaborate with stakeholders to translate business requirements into actionable data strategies and visualization frameworks. Mentor team members on advanced analytical techniques and promote continuous learning and innovation. What you'll bring: Extensive experience in machine learning algorithms, deep learning, and statistical analysis to develop advanced data models. Proficiency in programming languages including Python, SQL, and Java for code development and testing. Advanced capability in feature engineering, predictive scoring model development, causal modeling, forecasting, and scenario modeling to support prioritization, and Sales life-stage execution plans. Ability to translate complex business requirements into actionable data science strategies aligned with organizational goals. Experience deploying scalable models and maintaining model lifecycle management in production environments. Proven leadership skills to mentor teams and drive continuous improvement in data science practices.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Hoboken, New Jersey US-10649: The annual salary range for this position is $132,000.00 - $264,000.00
Sunnyvale, California US-11789: The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related fieldPreferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...121 River St, Hoboken, NJ 07030-5989, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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