Data Scientist

<p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 1">Data Scientist</span></span></strong><span data-ccp-props="{"134245418":true,"335559739":160}"> </span></p> <p><span data-contrast="auto">On-site in Longmont, Colorado. Monday through Friday, business hours, Mountain Time.</span><span data-ccp-props="{"335559739":140}"> </span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">About </span><span data-ccp-parastyle="heading 2">Docketly</span></span></strong><span data-ccp-props="{"134245418":true,"335559738":280,"335559739":120}"> </span></p> <p><span data-contrast="auto">Docketly, a sister company to ABC Legal Services, is a fast-growing legal-tech company based in Longmont, Colorado. For the creditors’ rights industry, we make hiring a stand-in attorney easy, fast, and reliable. We pair proprietary software with a nationwide network of attorneys.</span><span data-ccp-props="{"335559739":140}"> </span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">Job Overview</span></span></strong><span data-ccp-props="{"134245418":true,"335559738":280,"335559739":120}"> </span></p> <p><span data-contrast="auto">You build and run the machine learning and analytics systems behind Docketly’s operations. You build and run production models, from first idea to a live, monitored system on AWS. ABC Legal’s data science team is your sounding board on methods. You build the BI reporting that leadership, operations, and client teams use daily. You support pricing and margin decisions with financial modeling. You work closely with backend engineers on data infrastructure and production issues. This role can grow into Senior Data Scientist as you take full ownership of the production model and the pricing roadmap.</span><span data-ccp-props="{"335559739":140}"> </span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">Key Responsibilities</span></span></strong><span data-ccp-props="{"134245418":true,"335559738":280,"335559739":120}"> </span></p> <p><strong><span data-contrast="auto">Model development and MLOps</span></strong><span data-ccp-props="{"134245418":true,"335559738":160,"335559739":80}"> </span></p> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Build and run the full lifecycle of production ML models: framing, feature engineering, training, validation, deployment on AWS SageMaker (Model Registry, real-time endpoints), inference infrastructure (for example, AWS Lambda), and ongoing monitoring.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Build and maintain automated retraining and drift monitoring for deployed models.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Run staged production rollouts with holdout comparisons to prove model impact before full release. Review the test design with the team before launch.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Use AI coding tools to speed up analysis, modeling, and MLOps work.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <p><strong><span data-contrast="auto">Analytics, pricing, and reporting</span></strong><span data-ccp-props="{"134245418":true,"335559738":160,"335559739":80}"> </span></p> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Build and maintain the BI layer leadership relies on for exec reporting on revenue, margin, and volume, from dashboard design through data accuracy.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="6" data-aria-level="1"><span data-contrast="auto">Run pricing and margin analysis for client accounts, including ad hoc investigations for named strategic accounts. Model the financial impact of proposed pricing changes before they go live.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1"><span data-contrast="auto">Build and maintain rules-based pricing and case-difficulty logic by court and county, alongside statistical and ML approaches.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="8" data-aria-level="1"><span data-contrast="auto">Build and tune large scoring and prioritization frameworks in Metabase, such as weighting, percentile scenarios, and drop-rate analysis, that drive daily operational decisions such as Hearing priority and assignment.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="9" data-aria-level="1"><span data-contrast="auto">Turn ambiguous business questions into clear, well-scoped analyses.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <p><strong><span data-contrast="auto">Cross-functional partnership and documentation</span></strong><span data-ccp-props="{"134245418":true,"335559738":160,"335559739":80}"> </span></p> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="10" data-aria-level="1"><span data-contrast="auto">Partner with engineering on data pipelines (AWS Glue, Lambda, EventBridge). Investigate and help resolve production database performance issues, such as ORM query patterns and indexing, alongside backend engineering.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="11" data-aria-level="1"><span data-contrast="auto">Write down your methods and decisions in Confluence or an equivalent shared space, as you go, so other teams can find your reasoning and build on it without asking you directly.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">Systems & Skills</span></span></strong><span data-ccp-props="{"134245418":true,"335559738":280,"335559739":120}"> </span></p> <p><strong><span data-contrast="auto">Required</span></strong><span data-ccp-props="{"134245418":true,"335559738":160,"335559739":80}"> </span></p> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="12" data-aria-level="1"><span data-contrast="auto">Bachelor’s degree in a related field, or equivalent practical experience, and 3+ years of experience with applied statistics or machine learning.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="13" data-aria-level="1"><span data-contrast="auto">Applied statistics: probability, hypothesis testing, and model evaluation across classification and regression/quantile models (for example, precision, recall, calibration, quantile coverage, and drift).</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="14" data-aria-level="1"><span data-contrast="auto">3+ years of experience with SQL and a relational database in a professional capacity. Docketly’s production database runs on MySQL/Aurora, about 400 tables.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="15" data-aria-level="1"><span data-contrast="auto">Python for data analysis and modeling: pandas, scikit-learn, and a gradient-boosting framework (XGBoost, LightGBM, or CatBoost). Our production model uses CatBoost-based quantile regression.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="16" data-aria-level="1"><span data-contrast="auto">Experience training and deploying at least one model to production, or on a cloud ML platform such as AWS SageMaker.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="17" data-aria-level="1"><span data-contrast="auto">Metabase or comparable BI tooling.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="18" data-aria-level="1"><span data-contrast="auto">Clear written and verbal communication with non-technical stakeholders.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <p><strong><span data-contrast="auto">Preferred</span></strong><span data-ccp-props="{"134245418":true,"335559738":160,"335559739":80}"> </span></p> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="19" data-aria-level="1"><span data-contrast="auto">Staged production rollouts (canary or phased release) with holdout comparisons to prove model impact before full release.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="20" data-aria-level="1"><span data-contrast="auto">AWS Glue, S3, Lambda, EventBridge, CloudFormation.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="21" data-aria-level="1"><span data-contrast="auto">Comfortable using AI coding tools such as Claude Code or GitHub Copilot to move faster on analysis and modeling work.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="22" data-aria-level="1"><span data-contrast="auto">Experience diagnosing production database performance issues, such as query plans, indexing, and ORM-generated query patterns, in a large, high-table-count schema.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="23" data-aria-level="1"><span data-contrast="auto">Software-engineering practices applied to ML code, such as automated testing with pytest, for production pipelines.</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">Benefits</span></span></strong><span data-ccp-props="{"134245418":true,"335559738":280,"335559739":120}"> </span></p> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="24" data-aria-level="1"><span data-contrast="auto">Health, Dental, and Vision Insurance</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="25" data-aria-level="1"><span data-contrast="auto">401(k) with Company Matching</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="26" data-aria-level="1"><span data-contrast="auto">Paid Time Off</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="27" data-aria-level="1"><span data-contrast="auto">7 Paid Company Holidays</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="28" data-aria-level="1"><span data-contrast="auto">4 Floating Holidays per Year</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="29" data-aria-level="1"><span data-contrast="auto">Life Insurance and AD&D Insurance</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="30" data-aria-level="1"><span data-contrast="auto">Long-Term Disability</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="31" data-aria-level="1"><span data-contrast="auto">Health Care Reimbursement Flexible Spending Account (FSA)</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="32" data-aria-level="1"><span data-contrast="auto">Dependent Care Flexible Spending Account</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="33" data-aria-level="1"><span data-contrast="auto">Employee Assistance Program (EAP)</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":260,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="34" data-aria-level="1"><span data-contrast="auto">Pet Insurance</span><span data-ccp-props="{"335559739":40}"> </span></li> </ul> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">Schedule & Location</span></span></strong><span data-ccp-props="{"134245418":true,"335559738":280,"335559739":120}"> </span></p> <p><span data-contrast="auto">Schedule: Monday-Friday, 8:00 AM-5:00 PM (Mountain Time) in Longmont, CO.</span><span data-ccp-props="{"335559739":140}"> </span></p> <p><span data-contrast="auto">Salary Range: $110,000-$130,000 depending on experience</span><span data-ccp-props="{"335559739":140}"> </span></p> <p><span data-ccp-props="{"335559739":140}"><em><strong>Application closing date: November 20, 2026, at 11:59pm</strong></em></span></p>