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Senior Data Science Analytics Jobs (NOW HIRING)

Sundays for Dogs

Senior Data Scientist

We're hiring a Senior Data Scientist to help define how Sundays uses data to scale the business ... Reporting to our newly appointed VP of Data, this role blends data science, analytics, and platform ...

Sonsoft Inc

Data Science Analytics

San Francisco, CA · On-site

Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting * Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

Sonsoft Inc

Data Science Analytics

Seattle, WA

Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting * Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

Versant Health

Senior Data Scientist

Troy, NY · On-site

Senior Data Scientist Senior Data Scientist Who are we? Versant Health is one of the nation ... This role operates at the intersection of data science, data engineering, cloud analytics platforms ...

Versant Health

Senior Data Scientist

Troy, NY

Senior Data Scientist Senior Data Scientist Who are we? Versant Health is one of the nation ... This role operates at the intersection of data science, data engineering, cloud analytics platforms ...

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How much do senior data science analytics jobs pay per year?

As of Jun 26, 2026, the average yearly pay for senior data science analytics in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is the highest paying job in data analytics?

In data analytics, senior roles such as Chief Data Officer, Data Science Director, or Lead Data Scientist tend to have the highest salaries, often exceeding six figures annually. These positions require advanced skills in machine learning, big data tools, and strategic decision-making, and they typically involve leadership responsibilities and extensive experience.

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

AspectSenior Data Science AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often requires experience in machine learningBachelor's degree in Data, Statistics, or related fields; often entry-level or junior roles
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData cleaning, reporting, basic analysis
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsRetail, marketing, small businesses, entry-level roles across industries

Senior Data Science Analytics professionals focus on complex modeling and predictive analytics, often requiring advanced skills and experience. Data Analysts typically handle data collection, cleaning, and basic reporting. While both roles work with data, Senior Data Science Analytics roles involve more technical expertise and strategic insights, making them suitable for experienced professionals in data-driven industries.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $100,000 to $130,000 annually, depending on factors such as industry, location, experience, and company size. Advanced skills in programming, data visualization, and statistical analysis can contribute to higher compensation in this role.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data science analyst; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, along with practical experience and continuous learning. Employers value expertise and problem-solving ability over age alone.

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, the need for skilled analysts to interpret results, develop models, and communicate findings remains essential in data science analytics roles.
What cities are hiring for Senior Data Science Analytics jobs? Cities with the most Senior 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:
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Senior Data Science Analytics jobs near you

Senior Data Scientist

Sundays for Dogs

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

We're hiring a Senior Data Scientist to help define how Sundays uses data to scale the business. This is a high-impact role on a small, scrappy, and fast-moving team that is in the early stages of building best-in-class data infrastructure and modeling capabilities from the ground up.
Reporting to our newly appointed VP of Data, this role blends data science, analytics, and platform-building. You'll partner closely with our newly established Analytics Engineering function to help shape our analytics foundation - from scalable data models and modern BI tooling to the first generation of production-grade data science models. While there is tremendous opportunity to apply advanced data science techniques, this role will also spend meaningful time on core analytics, especially early on. As a new team, we're simultaneously building the foundation and delivering insights, so you'll need to be comfortable flexing between deep modeling work and hands-on analytical problem-solving. You'll have significant ownership in shaping how data is used at Sundays - identifying the highest-impact opportunities for data science, building models and analytical frameworks, and helping the company act on what we learn.
This role is fully remote within the U.S., with travel to our Cleveland headquarters for onboarding and quarterly in-person collaboration.
Your day-to-day
  • Partner with stakeholders across Marketing, Product, Finance, and Operations to frame business problems and identify where data science and analytics can drive the most impact.
  • Develop and deploy data science models (e.g., LTV prediction, churn/retention modeling, propensity scoring, forecasting) to inform growth and operational decisions.
  • Perform high-impact exploratory and ad-hoc analyses to answer critical business questions and move quickly on strategic decisions.
  • Work closely with Analytics Engineering to translate business needs into scalable datasets, feature sets, and production-ready models.
  • Help define and standardize key business metrics, ensuring alignment between analytical outputs and modeled insights.
  • Contribute to the rollout and adoption of our dbt project and BI tooling, ensuring models and analyses are built on reliable, well-structured data.
  • Build and maintain dashboards and reporting frameworks that complement and operationalize data science insights.
  • Design, analyze, and interpret experiments (A/B tests) to evaluate product, marketing, and lifecycle initiatives.
  • Investigate performance changes, diagnose root causes, and communicate clear, actionable recommendations to stakeholders.
  • Help establish best practices for data science and analytics as we scale the function.
  • Work with data and engineering partners to ensure analytical work is built on scalable, reliable data models.

We'd love to hear from you if you have
  • 6+ years of experience in data science, analytics, or related quantitative roles.
  • Strong SQL and experience with modern cloud data warehouses (e.g., Snowflake, BigQuery, Databricks) and tools like dbt
  • Proficiency in Python (or similar) for data analysis, statistical modeling, and machine learning
  • Experience building and applying models (e.g., LTV, churn/retention, forecasting, MTA/MMM, propensity) in a business context
  • Deep understanding of DTC/ecommerce metrics (CAC, LTV, cohort analysis, retention) and experimentation (A/B testing)
  • Proven ability to drive business impact through data, partnering cross-functionally and balancing analytics, modeling, and strategic decision-making in a fast-paced environment
  • A passion for dogs!

Nice-to-Haves
  • Experience productionizing data science models and working with engineering to deploy them.
  • Familiarity with feature engineering, model monitoring, and lifecycle management.
  • Experience helping stand up data science or analytics practices in early-stage or high-growth environments.
  • Experience scaling BI tools (Omni, Looker, Sigma, etc.) alongside data science workflows.

Why Join Us?
  • Unlimited PTO - we trust you to take the time you need.
  • Equity program - a chance to own part of the company!
  • 401k plan with employer match - invest in your future.
  • Annual work-from-home stipend - set up your workspace for success.
  • Competitive Medical, Dental, Vision plans - company covers 80%.
  • Sundays subscription for your pup! - because we care about your furry friends.
  • Parental leave & PAWrental leave - support for growing families, both human and pet.
  • Discounted pet insurance - keep your pets happy and healthy.

RECRUITING SCAM ALERT
We've been made aware of scammers impersonating Sundays for Dogs and inviting candidates to interview via Microsoft Teams.
To protect yourself, please note:
  • We do not conduct interviews over Microsoft Teams.
  • All interview scheduling communications will come from one of the following domains: @ats.rippling.com (our official applicant tracking system) or @sundaysfordogs.com.

If you receive outreach from any other email domain or are asked to communicate outside of these channels, it is not from our team.
We strongly suggest you do not share any personal or confidential information if you are unsure about the legitimacy of the communication.
If you have questions about whether a message is legitimate, contact us directly at people@sundaysfordogs.com.
About Sundays for Dogs
Sundays for Dogs is a founder-led, direct-to-consumer brand reimagining pet food so dog owners can spend more quality time with their dogs - now and later. We make human-grade, air-dried food that supports long, healthy lives, and we build our company around shared core values that guide how we work and how we treat each other.
We're headquartered in Cleveland, Ohio, with a primarily remote team of ~50 full-time employees across the U.S. While we work distributed day to day, we come together in person on a quarterly basis because relationships matter. Our business today is 100% DTC, with our subscription model at the core of how we serve customers - and we're building to scale with intention. We're just getting started...

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