Kinetic Machine Learning Engineer

Kinetic, a business unit of Uniti (NASDAQ: UNIT), is a premier insurgent provider of multi-gigabit fiber internet, whole-home Wi-Fi, internet security, and voice services in 1,400 markets across 18 states in across the U.S.  Additional information about Kinetic is available at www.GoKinetic.com_________________________________________________________ About The RoleWe are looking for a Machine Learning Engineer with strong statistical foundations and hands-on modeling experience to join the team. You will assist in building, maintaining, and improving predictive models across a range of business domains — customer retention, network performance, marketing, sales, and others as needs evolve. You will develop features from complex multi-source data and help maintain inherited models built by external partners. You will contribute to all phases of the modeling lifecycle, from data exploration through model delivery, under the direction of the team manager. This position will report directly to the team manager and work alongside data engineers and solutions architects. ***It can be filled remotely anywhere within the country.***What You Will DoBuild and evaluate predictive models (logistic regression, XGBoost, ensemble methods) across customer retention, network, marketing, sales, and other business domainsEngineer features from complex, multi-source enterprise data (billing systems, call center logs, CRM, network data) in Snowflake and OracleProfile and investigate data quality issues — identify leakage, missingness patterns, join inconsistencies, and source-of-truth conflictsMaintain and improve inherited production models, including models built in Snowpark by external partnersPerform SHAP-based model interpretability analysis and translate results into business-actionable insightsDesign and execute customer segmentation using clustering techniques on model outputsWrite clear, thorough documentation of model logic, feature rationale, data assumptions, and known limitationsCollaborate with the team to define target variables, population filters, and prediction windows grounded in statistical reasoningDo You Have?2–3 years of experience in a data science or applied statistics role (less experience considered for strong candidates)Strong foundation in statistics: hypothesis testing, regression, classification, probability, bias-variance tradeoffsProficiency in Python for data science (Pandas, scikit-learn, NumPy, Matplotlib/Seaborn)Strong SQL skills, particularly with Snowflake or similar cloud data warehousesExperience with feature engineering from real-world, imperfect enterprise data — not just clean Kaggle datasetsAbility to work independently and manage your own priorities with minimal oversightClear written and verbal communication — you can explain a modeling decision to a non-technical stakeholder and document your work so others can follow itEven BetterExperience with Snowpark (Python or SQL)Exposure to Azure ML or similar cloud ML platformsFamiliarity with MLOps concepts (model versioning, pipeline automation, drift monitoring)Telecom or subscription-based industry experienceExperience inheriting and maintaining models built by others00Familiarity with Git-based workflows and version control for data science artifactsThe compensation range for this position is from $90,400 - $123,400._________________________________________________________Our BenefitsMedical, Dental, Vision Insurance Plans401K PlanHealth & Flexible Savings AccountLife and AD&D, Spousal Life, Child Life Insurance PlansEducational Assistance PlanUniti is an equal opportunity employer. At Uniti, we celebrate the authenticity and uniqueness of our people and their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, genetic information, protected veteran status, current military status, disability, sexual orientation, marital status, creed, citizenship status, or any other status protected by law, and to give full consideration to qualified disabled individuals and protected veterans.Actual base pay for this job will depend on the candidate's primary work location and other factors, such as relevant skills and experience.Notice to Non-U.S. Citizens:Uniti, as a holder of licenses granted by the Federal Communications Commission, is required to notify and to obtain approval from federal regulatory agencies prior to granting certain system/network access to any non-U.S. citizen personnel. Offers of employment extended to non-U.S. citizens are contingent upon receiving the requisite approval from agencies overseeing compliance. Non-U.S. citizens are required to provide Uniti with the personal identifying information required to obtain the necessary approval prior to accessing certain systems and/or Uniti’s network. If you are not a U.S. citizen, please notify your recruiter or email CORP.HRlegal@uniti.com as soon as possible for information on Uniti’s foreign personnel disclosure and approval requirements.Notice to Applicants: Depending on the position and its job functions, offers of employment may be contingent upon successful completion of certain pre-employment screenings, including but not limited to drug-screen, motor vehicle records check, or other pre-employment screening. All such screenings will be conducted by an external third-party with the Candidate’s written consent and in accordance with federal and state law. Refusal to authorize or submit to a required pre-employment screening may disqualify the candidate from employment. Any misrepresentation during the application or interview process may result in denial of employment, withdrawal of offer, or termination.