Manager III, Data Science

onXmaps, Inc.

. Lead a team of data scientists solving complex problems that improve outdoor exploration products across Hunt, Offroad, Backcountry, and Fish .

Posted 11/10/2026full-timeRemote • United StatesSeniorLead💰 $177,000 - $222,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced technical expertise in statistical modeling, machine learning, and experimental design, with a strong ability to lead and develop high-performing data science teams. Proficient in Python and SQL, with experience in delivering models on cloud platforms and applying emerging technologies responsibly.

Highest-signal resume keywords

Statistical ModelingMachine LearningPython ProgrammingSQL SkillsTeam Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingMachine LearningExperimental DesignData Quality EvaluationModel Performance EvaluationResearch Limitations AssessmentAmbiguous Problem FramingRigorous Investigation DesignActionable Outcome TranslationCloud Platform Model Delivery

Soft Skills

Team CoachingPerformance ManagementCross-Functional LeadershipCommunication SkillsExpectation Setting

Tools & Technologies

GCPBigQueryDataprocVertex AIAI-Powered Product Features

Industry Keywords

Data ScienceAdvanced AnalyticsGeospatial ModelingTemporal ModelingCustomer Behavior Analysis

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Lead a team of data scientists solving complex problems that improve outdoor exploration products across Hunt, Offroad, Backcountry, and Fish
Design, implement, and evaluate sophisticated models and analyses for complex customer and business problems
Provide scientific and technical direction on problem framing, method selection, data quality, bias, leakage, uncertainty, baselines, and evaluation criteria
Strengthen team technical capabilities through code reviews and pairing
Coach and develop data scientists, set expectations, provide feedback, manage performance, and build team capabilities
Own and prioritize the Data Science team roadmap with the Director of Data and cross-functional stakeholders
Define objectives and success criteria using rigorous evaluation and bounded experiments
Lead initiatives from research and exploration through production integration, evaluation, and ongoing support
Partner with Product, Engineering, BI, and User Research to align priorities and resolve cross-functional challenges
Establish data contracts, acceptance criteria, operational ownership, reusable and reproducible capabilities, privacy controls, and access controls
Communicate findings through prototypes and actionable recommendations
Improve Data Science practices through experimentation and responsible use of AI

Requirements

What you’ll need

Master's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative discipline, or equivalent experience demonstrating advanced technical and scientific expertise
8+ years of experience in data science, machine learning, or advanced analytics, including 3+ years managing and developing technical teams
Demonstrated ability to lead, coach, and develop data scientists, set clear expectations, manage performance, and build high-performing teams
Deep technical expertise in statistical modeling, machine learning, and experimental design
Strong hands-on Python and SQL skills
Experience delivering models on cloud platforms
Ability to frame ambiguous problems, design rigorous investigations, evaluate methodological trade-offs, and translate analyses into actionable outcomes
Experience leading complex data science initiatives from research through delivery
Strong communication and cross-functional leadership skills
Ability to evaluate data quality, bias, uncertainty, model performance, and research limitations
Ability to evaluate and apply emerging technologies, including AI, responsibly
Passion for and ability to demonstrate onX's Company Values
Permanent US work authorization is a condition of employment
Ability to travel quarterly for multiple days to a corporate office or other onX strategic location
Preferred/bonus: experience with geospatial or temporal modeling, recommendation systems, customer behavior analysis, GCP, BigQuery, Dataproc, Vertex AI, AI-powered product features, reusable research and machine learning tools/frameworks, or a PhD

Benefits

Comp & perks

Annual bonuses, equity, and opportunities for growth
Comprehensive health benefits, including a no-monthly-cost medical plan
Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
401k matching at 100% for the first 3% you save and 50% from 3-5%
Company-wide outdoor adventures and amazing outdoor industry perks
Annual “Get Out, Get Active” funds to fuel your active lifestyle
Flexible time away package that includes PTO, STO, VTO, and paid holidays
Common share options with a vesting schedule
Annual bonus of 10% based on company performance