1

Data Science Analytics Jobs (NOW HIRING)

Responsibilities : • Contribute to end-to-end data science projects that improve product performance, customer experience, and operational efficiency, applying your strong analytical thinking and ...

Data Scientist

Boston, MA

$120K - $135K/yr

Contribute to end-to-end data science projects that improve product performance, customer experience, and operational efficiency, applying your strong analytical thinking and problem-solving skills.

As a member of the Data Science & Analytics team, you will help Discord achieve its mission of making it easier and more fun for people to talk and hang out before, during, and after playing games.

TCS071, T5, Band 8 Job-Specific Essential Duties and Responsiblities: - Serves as the senior technical authority for data science, analytics, and AI/ML, setting strategy aligned with enterprise and ...

Data Scientist

Boston, MA · On-site

$120K/yr

Contribute to end-to-end data science projects that improve product performance, customer experience, and operational efficiency, applying your strong analytical thinking and problem-solving skills.

Data Science Analyst

Chicago, IL · On-site

$74K - $100K/yr

The University of Chicago seeks Data Science Analyst for Chicago, IL Bachelor's in Information or Computer Science or related field +2 yrs exp. Req'd: 2 yrs exp w/each: research techniques/methods ...

Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

next page

Showing results 1-20

Data Science Analytics information

See salary details

$24

$54

$94

How much do data science analytics jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for data science analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

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

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and making nuanced judgments. Data analysts with skills in machine learning, programming, and data visualization are increasingly valuable in this evolving environment.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

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

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What is the job of data science and analytics?

Data science and analytics involve collecting, processing, and analyzing large datasets to extract meaningful insights that support decision-making. Professionals in this field use statistical methods, programming tools like Python or R, and visualization techniques to identify trends, solve problems, and improve business outcomes.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.

Is 40 too late for data science?

Data science analysts and professionals can enter the field at any age, including 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, as well as gaining experience through projects or certifications. Age is less important than skills, continuous learning, and adapting to industry changes.

What jobs can you get with data science and analytics?

Data science and analytics skills open opportunities for roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require proficiency in programming languages like Python or R, statistical analysis, and data visualization tools, often within technology, finance, healthcare, or marketing industries.
What cities are hiring for Data Science Analytics jobs? Cities with the most Data Science Analytics job openings:
What are the most commonly searched types of Data Science Analytics jobs? The most popular types of Data Science Analytics jobs are:
What states have the most Data Science Analytics jobs? States with the most job openings for Data Science Analytics jobs include:
Infographic showing various Data Science Analytics job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 45% Full Time, 42% Part Time, 2% Temporary, and 10% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Senior Director, Data Science & Personalization

Senior Director, Data Science & Personalization

Sprouts Farmers Market

Phoenix, AZ

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Sprouts Farmers Market rating

6.8

Company rating: 6.8 out of 10

Based on 802 frontline employees who took The Breakroom Quiz

22nd of 118 rated grocery stores


Job description

Overview

The Senior Director, Data Science & Personalization provides leadership for Sprouts’ data science, machine learning, insights, and personalization capabilities. This role sets the vision and strategy for how advanced analytics and data-driven decisioning power personalized customer experiences and business growth across the organization. This leader is accountable for driving measurable business outcomes and ensuring Sprouts continues to build a durable competitive advantage through data. #LI-AD1


Overview of Responsibilities

Data Science & Personalization Strategy

  • Refine and own the enterprise data science and personalization vision, strategy, and roadmap in partnership with VP and Chief Customer Officer.
  • Identify and prioritize the highest-value opportunities to apply machine learning, predictive analytics, and experimentation to drive customer engagement and revenue growth.
  • Balance near-term business impact with long-term capability building and scalability.
  • Serve as a senior thought leader on how data science can accelerate customer and enterprise value.

Lead Advanced Analytics & Machine Learning at Scale

  • Provide oversight and direction on machine learning models and analytical solutions development.
  • Ensure models and solutions are robust, measurable, and continuously improved.
  • Partner with IT leadership and Data Engineering to ensure scalable architecture, tools, and platforms support advanced analytics and personalization efforts.

Own TestandLearn & Decisioning Capabilities (PodBased Model)

  • Guide the organization’s agile pod model for testing personalization ideas.
  • Ensure fast, rigorous tests tied to clear business outcomes and rooted in customer insights and analytics.
  • Leverage standardized and automated measurement to identify winning tests with stats sig confidence.
  • Govern experiment flow so learnings become alwayson capabilities.

Build, Lead & Develop Leaders

  • Lead and develop Data Science, Analytics and Insights teams.
  • Establish clear expectations for leadership effectiveness, technical excellence, and business impact.
  • Build succession plans and a strong talent pipeline to support current and future growth.
  • Foster a culture of accountability, curiosity, and continuous improvement.

Influence & Partner Across the organization

  • Act as a senior strategic partner to leaders across the organization.
  • Translate complex analytical concepts into clear, compelling business narratives.
  • Ensure tight alignment within group between Data Science, Analytics and, Insights, as well as collaboration with marketing, merchandising, Finance and IT.

Governance, Standards & Responsible Data Use

  • Establish organizational standards for model governance, documentation, monitoring, and ethical data usage.
  • Ensure data science efforts comply with privacy, security, and regulatory requirements.
  • Oversee vendor relationships and selectively engage partners where acceleration is needed.

Qualifications

Knowledge, Skills and Abilities

  • 12+ years of experience in data science, analytics, or related quantitative disciplines.
  • 7+ years of experience leading and developing leaders and managers.
  • Proven success deploying machine learning and advanced analytics solutions at scale.
  • Strong background in statistics, experimentation, predictive modeling, and applied analytics.
  • Demonstrated ability to influence executive stakeholders and drive enterprise-level change.
  • Exceptional communication and leadership skills.

Preferred Qualifications

  • Experience in retail, grocery, eCommerce, or consumerfocused industries.
  • Deep experience with personalization, recommendation systems, or decisioning platforms.
  • Familiarity with modern cloud-based data and machine learning ecosystems.
  • Advanced degree in Data Science, Computer Science, Statistics, or a related field.

Benefits

In addition to a rewarding career, Sprouts offers a comprehensive program to help support you and your family. These programs include:

  • Competitive pay
  • Sick time plan that you can use to support you or your immediate families health
  • Vacation accrual plan
  • Opportunities for career growth
  • 15% discount for you and one other family member in your household on all purchases made at Sprouts
  • Flexible schedules
  • Employee Assistance Program (EAP)
  • 401(K) Retirement savings plan with a generous company match
  • Company paid life insurance
  • Contests and appreciation events throughout the year full of prizes, food and fun!

Eligibility requirements may apply for the following benefits:

  • Bonus based on company and/or individual performance
  • Affordable benefit coverage, including medical, dental and vision
  • Health Savings Account with company match
  • Pre-tax Flexible Spending Accounts for healthcare and dependent care
  • Company paid short-term disability coverage
  • Paid parental leave for both mothers and fathers
  • Paid holidays

Get Paid Every Day!

Sprouts Farmers Market offers DailyPay - if you’re hired as an eligible employee, you’ll be able to transfer the money you’ve already earned at no extra cost, and get it the next business day, for free.  We offer DailyPay so you don’t have to wait for payday to access the money you’ve already worked for. With DailyPay, you can see how much you’ve made every day and you can transfer your money any time before payday.

 You can learn more by visiting https://www.dailypay.com/partners/sprouts-farmers-market/.


Why Sprouts

Grow with us!

If you have a passion for inspiring people and a flair for fresh food, consider applying for a job at Sprouts! With a focus on customer service, our neighborhood grocery stores offer high-quality, farm fresh produce, natural meats, plenty of scoop-your-own bulk goods and much more in a fun, friendly, old-fashioned farmer’s market setting.  Come grow your career in healthy living with a fast-paced, rapidly growing company and teams that pride themselves on empowering others along their journey.

The above statements are intended to describe the general nature and level of the work being performed by people assigned to this work. This is not an exhaustive list of all duties, responsibilities, and requirements. Sprouts’ management reserves the right to amend and change duties, responsibilities, and requirements to meet business and organizational needs as necessary.

Sprouts will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Chance in Hiring Ordinance.

California Residents: We collect information in accordance with California law, please see here for more information.

Qualifications:

Knowledge, Skills and Abilities

  • 12+ years of experience in data science, analytics, or related quantitative disciplines.
  • 7+ years of experience leading and developing leaders and managers.
  • Proven success deploying machine learning and advanced analytics solutions at scale.
  • Strong background in statistics, experimentation, predictive modeling, and applied analytics.
  • Demonstrated ability to influence executive stakeholders and drive enterprise-level change.
  • Exceptional communication and leadership skills.

Preferred Qualifications

  • Experience in retail, grocery, eCommerce, or consumerfocused industries.
  • Deep experience with personalization, recommendation systems, or decisioning platforms.
  • Familiarity with modern cloud-based data and machine learning ecosystems.
  • Advanced degree in Data Science, Computer Science, Statistics, or a related field.
Education:UNAVAILABLEEmployment Type: FULL_TIME

What Sprouts Farmers Market employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom