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Full Time Applied Statistics Jobs (NOW HIRING)

Mission Pet Health

Senior Statistical Analyst

Birmingham, AL · On-site

$81K - $100K/yr

... Full-Time Mission Pet Health is building a deeper understanding of how pet owners and clients ... Strong applied statistics: hypothesis testing, regression, causal inference, power analysis ...

krg technology inc

UI Designer

Redmond, WA · On-site

Redmond, WA Duration: Full Time 1. Solid portfolio summarizing 5+ years of data/interaction/visual ... analysis and applied statistics a plus Responsibilities: 1. Build layout and design dynamic ...

Uofl

Belknap Campus Time Type: Full time Worker Type: Regular Term (Fixed Term) Job Req ID: R108765 ... Experience teaching applied statistics, data analysis, and sport analytics within sport science or ...

Sonsoft Inc

Data Scientist

Plano, TX · On-site

Good applied statistics skills, such as distributions, statistical testing, regression, etc. * Good ... This is a Full-Time Permanent job opportunity for you. * Only US Citizen, Green Card Holder, TN ...

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How much do full time applied statistics jobs pay per year?

As of Jul 10, 2026, the average yearly pay for full time applied statistics in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Applied Statistics vs Data Analyst?

AspectFull Time Applied StatisticsData Analyst
Required CredentialsBachelor's or Master's in Statistics, Mathematics, or related fieldBachelor's degree in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, industry R&D teamsBusiness, marketing, finance departments
Employer & Industry UsageUniversities, research institutions, tech companiesCorporations, consulting firms, government agencies
Common Search & ComparisonApplied Statistics roles, careers in statisticsData analysis jobs, data visualization roles

Full Time Applied Statistics professionals focus on developing statistical models, conducting research, and applying advanced statistical methods across various industries. Data Analysts typically interpret data, create reports, and support decision-making with data visualization tools. While both roles require strong analytical skills, Applied Statisticians often have more specialized training in statistical theory, whereas Data Analysts focus on data interpretation and presentation.

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What are the most commonly searched types of Applied Statistics jobs? The most popular types of Applied Statistics jobs are:
What job categories do people searching Full Time Applied Statistics jobs look for? The top searched job categories for Full Time Applied Statistics jobs are:
Full Time Applied Statistics jobs near you
Infographic showing various Full Time Applied Statistics job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.

Senior Statistical Analyst

Mission Pet Health

Birmingham, AL • On-site

$81K - $100K/yr

Full-time

Re-posted yesterday

Job description

General Information
Ref #
51484
Department
Data / technology
Job Site
Mission Pet Health
Date Published
06-09-2026
Pay Class
Full-Time
Job Description
Mission Pet Health is building a deeper understanding of how pet owners and clients engage across our owned products and touchpoints. This role sits at the intersection of product engineering and data engineering - responsible for defining how we measure client behavior, designing the experiments that test our assumptions, and partnering with engineering to instrument our products with the data infrastructure those efforts require.
This is a foundational role. You won't be handed a mature analytics stack - you'll help build it.
What You'll Do
Client Behavior Modeling
  • Define and maintain Mission Pet Health's client behavior model - the framework that describes how clients engage across their lifecycle (acquisition, activation, retention, lapse, reactivation)
  • Identify the key behavioral signals that predict meaningful outcomes (repeat visits, product adoption, lifetime value) and build the models that quantify them
  • Develop segmentation frameworks that allow teams to understand and act on distinct client cohorts

A/B Testing & Experimentation
  • Own the end-to-end experimentation program: hypothesis definition, experimental design, power analysis, instrumentation requirements, analysis, and recommendation
  • Establish organization-wide standards for statistical rigor - guardrail metrics, minimum detectable effects, sequential testing protocols, and significance thresholds
  • Partner with Product and Marketing to prioritize and sequence experiments; translate results into clear, actionable recommendations for non-technical stakeholders

Data Instrumentation & Beacon Definition
  • Author and maintain the organization's tracking plan - defining the events, properties, and user identifiers to be captured across web, mobile, and in-clinic touchpoints
  • Specify analytics beacons and event schemas for engineering teams to implement, including clear acceptance criteria and validation steps
  • Audit existing instrumentation for gaps and data quality issues; drive remediation in partnership with engineering
  • Ensure tracking design supports longitudinal analysis, cross-surface identity resolution, and downstream modeling needs

Data Modeling & Analytics Infrastructure
  • Define the data model that translates raw event streams into clean, analysis-ready assets - in partnership with data engineering
  • Design and document metric definitions, KPI trees, and measurement frameworks that become the organization's shared source of truth
  • Build and maintain dashboards and self-serve reporting for Product, Marketing, and clinical teams

Cross-Functional Communication & Influence
  • Serve as the primary analytics partner to Product, Engineering, and Marketing on behavioral and experimentation questions
  • Translate statistical findings into clear decision points for product, business, and leadership audiences - without dumbing it down
  • Present experiment results, model outputs, and measurement frameworks to cross-org stakeholders in ways that drive action
  • Educate teams on correct interpretation of data and experiment results; build org-wide statistical literacy over time

Responsibilities and Benefits
What You'll Need
Required
  • 6+ years in product analytics, data science, or a quantitative research role with direct ownership of behavioral analytics
  • Clear communicator who can translate statistical findings for product and business audiences
  • Strong applied statistics: hypothesis testing, regression, causal inference, power analysis, experiment design
  • Experience designing and implementing tracking plans and event instrumentation - including writing beacon/event specs for engineering
  • Proficiency in SQL and at least one of Python or R
  • Experience building or contributing to a client/user behavior model from scratch

Preferred
  • Experience with product analytics platforms (Amplitude, Mixpanel, or similar)
  • Familiarity with dbt and cloud data warehouses (Snowflake, ClickHouse, BigQuery, or similar)
  • Experience in healthcare, veterinary, or appointment-based service businesses
  • Exposure to identity resolution across multiple product surfaces (web, app, in-person)
  • Background in Bayesian statistics or causal inference methods

What Success Looks Like
First 90 Days
  • Audit current instrumentation and data model; document gaps and prioritize remediation
  • Draft the v1 client behavior model and align stakeholders on its key dimensions and signals
  • Ship at least one experiment end-to-end with full documentation

First Year
  • A trusted, well-instrumented behavioral data foundation is in place
  • The experimentation program is running consistently, with clear standards and a prioritized backlog
  • Product and Marketing teams are making decisions grounded in the client behavior model you defined
  • Product analytics is an established discipline within the broader Product & Tech org - and you're leading it

About Mission Pet Health
Mission Pet Health operates a growing network of veterinary hospitals and pet health services. We're committed to making high-quality pet care accessible and to building lasting relationships with pet owners across our markets.
Mission Pet Health is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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