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Data Science Analytics Jobs (NOW HIRING)

MiniMed

Data Science Analytics Engineer II

Northridge, CA · On-site

$87K - $149K/yr

Experience with Big Data and cloud-based environments for data processing and analytics. * Master's degree in Computer Science or related field. Physical Job Requirements The above statements are ...

MiniMed

Data Science Analytics Engineer II

Los Angeles, CA · On-site

$87K - $149K/yr

Experience with Big Data and cloud-based environments for data processing and analytics. * Master's degree in Computer Science or related field. Physical Job Requirements The above statements are ...

Lutron Electronics Co., Inc

Data Scientist

Boston, MA · On-site

$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.

Lutron Electronics Co., Inc

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.

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How much do data science analytics jobs pay per hour?

As of Aug 6, 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?

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.

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 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.
More about Data Science Analytics jobs
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:
What job categories do people searching Data Science Analytics jobs look for? The top searched job categories for Data Science Analytics jobs are:
Data Science Analytics jobs near you
Infographic showing various Data Science Analytics job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Senior Director, Data Science & Personalization

Sprouts Farmers Market

Phoenix, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Sprouts Farmers Market rating

6.8

Company rating: 6.8 out of 10

Based on 819 frontline employees who took The Breakroom Quiz

27th of 122 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
Essential Functions
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 Test-and-Learn & Decisioning Capabilities (Pod-Based 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 always-on 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.

Knowledge, Skills, Abilities and Physical Requirements
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 consumer-focused 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.

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