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Statistical Engineering Jobs in Alabama (NOW HIRING)

Mission Pet Health

Senior Statistical Analyst

Birmingham, AL · On-site

$81K - $100K/yr

This role sits at the intersection of product engineering and data engineering - responsible for ... Establish organization-wide standards for statistical rigor - guardrail metrics, minimum detectable ...

Tarkett

Controls Engineer

Florence, AL

$74K - $96K/yr

Support and promote Kaizen, Statistical Engineering and Lean Manufacturing principles to support Tarkett's WCM processes. Engage in WCM PM Pillar to help strengthen team Negotiate with and oversee ...

Tarkett

Controls Engineer

Florence, AL · On-site

$74K - $96K/yr

... engineering / quality principles and tools including FMEA's, statistical analysis, DOE's and industry best practices. • Assist the maintenance staff in operational debug of machine controllers ...

Tarkett

Controls Engineer

Florence, AL

$74K - $96K/yr

Support and promote Kaizen, Statistical Engineering and Lean Manufacturing principles to support Tarkett's WCM processes. Engage in WCM PM Pillar to help strengthen team Negotiate with and oversee ...

Deloitte

Palantir AI and Data Science Engineer

Huntsville, AL · On-site

$112K - $135K/yr

Join Deloitte's AI & Engineering team to help clients modernize technology platforms, accelerate ... Applying DevOps and statistical programming tools to improve data quality, platform performance ...

US Department of the Air Force

$63K/yr

... and statistical sciences in order to design, test or upgrade software. Experience in administrative aspects of task engineering and management, e.g., procurement policies, preparation of work ...

U.S. Department of Defense (DOD)

$63K/yr

... and statistical sciences in order to design, test or upgrade software. Experience in administrative aspects of task engineering and management, e.g., procurement policies, preparation of work ...

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Statistical Engineering information

See Alabama salary details

$57.1K

$67K

$74.8K

How much do statistical engineering jobs pay per year?

As of Jul 16, 2026, the average yearly pay for statistical engineering in Alabama is $67,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $71,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

How does a Statistical Engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.
What are popular job titles related to Statistical Engineering jobs in Alabama? For Statistical Engineering jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Alabama look for? The top searched job categories for Statistical Engineering jobs in Alabama are:
What cities in Alabama are hiring for Statistical Engineering jobs? Cities in Alabama with the most Statistical Engineering job openings:
Statistical Engineering jobs near you

Senior Statistical Analyst

Mission Pet Health

Birmingham, AL • On-site

$81K - $100K/yr

Full-time

Re-posted 8 days ago

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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