{"id":3752532,"url":"https://alion.io/job/kawasaki-engines-usa-data-scientist","title":"Data Scientist","company":{"id":2776335,"name":"Kawasaki Engines USA","domain":"kawasakienginesusa.com","url":"https://alion.io/company/kawasakienginesusa","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"UltiPro","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Foothill Ranch, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":110000,"max":115000,"currency":"USD","period":"year","gross":null,"usd_annual":115000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-10-27T00:20:31Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-05T06:40:40Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Kawasaki Motors Retail Finance is seeking a highly skilled and experienced Data Scientist to manage and analyze complex data for our retail finance operations. This role is pivotal in leveraging data-driven insights to optimize performance, enhance decision-making, and support business strategies. The ideal candidate will have a strong background in data analysis, statistical modeling, and machine learning techniques, particularly within the retail finance domain. This position will report to the Senior Group Manager, Data Science.\nModel Development & Forecasting: \nDesign, build, and maintain advance predictive models to support credit risk assessment, loan performance forecasting, customer segmentation, and pricing strategies.\nData Management & Analysis: \nManage, clean, and analyze large-scale, structured, and unstructured datasets to generate actionable insights that inform business strategies and drive operational efficiency.\nExploratory Data Analysis (EDA): \nPerform deep-dive analysis to uncover trends, patterns, and new business opportunities in the retail finance powersports market.\nCross-functional Collaboration: \nPartners with teams across the business to understand key objectives and translate them into data science solutions that drive value and measurable impact.\nDashboarding & Visualization:\nDevelop, maintain, and optimize interactive dashboards and reporting tools (Tableau, Power BI, Looker) to track KPI’s monitor portfolio performance, and support data storytelling.\nData Quality & Governance: \nEnsure the accuracy, consistency, and security of financial data while maintaining compliance with regulatory standards and internal governance policies.\nProcess Improvement: \nIdentify and implement opportunities for automation, workflow enhancements, and advanced analytics use cases to streamline data operations and improve decision making.\nPipeline Optimization: \nCoordinate with IT and engineering teams to design robust, scalable data pipelines and improve integration processes across internal systems and third-party platforms.\nStrategic Insight & Communication:\nDeliver clear and concise insights and data backed recommendations to stakeholders at all levels, supporting strategic initiatives and financial planning processes. \nContinuous Learning & Innovation: \nStay abreast of emerging technologies, tools, and methodologies in the data science and fintech landscape and apply innovative technologies to enhance business outcomes.\nRegulatory & Policy Compliance: \nEnsure all data activities, models and reporting processes comply with applicable financial regulations and company policies.\nAdditional Responsibilities:\nPerform other duties as assigned to support the growth and success of the analytics and retail finance teams.\nQualifications:\nBachelor’s degree in data science, Computer Science, Statistics, or a related field required; master’s or advanced degree is preferred.\nA minimum of 3 years of experience in data science or advance analytics, with direct experience in retail finance or financial services is required.\nStrong proficiency in Python, R, and SQL for data manipulation and model development.\nHands-on experience with machine learning frameworks and algorithms (scikit-learn, XGBoost, TensorFlow).\nExpertise in statistical modeling, forecasting, and financial analytic techniques.\nProficient with data visualization tools such as Power BI, Tableau, or similar platforms.\nFamiliarity with cloud platforms and modern data pipeline tools (AWS, Azure, Snowflake, Airflow).\nExcellent problem solving and critical thinking skills with sharp attention to detail.\nStrong verbal and written communication skills, with the ability to clearly present complex data insights to both technical and non-technical stakeholders.\nAbility to work on-site at our Foothill Ranch, CA office, with a collaborative and team-oriented mindset.\nProfile Differentiators:\nStartup and High-Growth Experience: \nDemonstrated success working in fast-paced environments, especially as a founder, co-founder, or early-stage team member where adaptability, innovation, and execution were critical.\nIndustry Expertise in Powersports Finance:\nDirect experience or strong familiarity with the powersports (motorcycles, ATVs, UTVs, PWCs) finance industry, including knowledge of retail installment contracts, dealer networks, and consumer behavior in the powersports segment.\nFintech Fluency:\nDeep understanding of fintech trends, applications, and innovations, particularly those that impact consumer lending, digital finance platforms, alternative credit models, and automation in financial services.\nAdvanced SQL and Data Engineering Skills:\nExpertise in writing optimized, complex SQL queries and working with large scale relational databases. Experience with data wrangling, ETL processes, and performance tuning.\nCloud and Data Pipeline Proficiency: \nHands-on experience with cloud-based platforms such as AWS, Azure, Snowflake, Airflow. Also including tools like S3, Redshift, Glue, EMR, Azure Synapse, and Data Factory.\nHybrid Technical & Strategic Mindset:\nAbility to bridge the gap between deep technical analysis and high-level business strategy, delivering insights that directly support revenue growth, risk mitigation, and operational efficiency.\nStrong Business Acumen:\n Comfort operating at the intersection of data science, finance, and product strategy, with an understanding of key business drivers and KPI’s in consumer lending and asset-backed finance.\nEntrepreneurial Spirit:\nA self-starter mentality with a passion for building, optimizing, and scaling data-driven systems and solutions from the ground up\nSalary range: $110,000 - $115,000 annually, based on experience and qualifications.\nTo support your health and wellness goals, Kawasaki provides a comprehensive benefits program dedicated to the well-being of our employees and their families.\nWhat We Offer:\nCompetitive salary based on experience\nMedical, Dental, Vision and Pet insurance\n401(k) match\nLife and Disability benefits\nGenerous PTO policy\nUp to 12 paid company holidays\nEmployee discounts on Kawasaki products\nOnsite fitness center\nKawasaki Kafe\nKMRF is an Equal Opportunity Employer; employment with KMRF is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.","description_format":"text","description_chars":6552,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Garden & Outdoor Living"],"lifecycle":[{"event":"open","at":"2026-11-04T15:47:37Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.859,"p_room":1,"age_days":9,"expected_fill_days":29,"reasons":["conf:4","win:early"],"computed_at":"2026-11-05T05:54:30Z"},"pay":{"stated_usd_annual":115000,"is_top_pay":false},"html_url":"https://alion.io/job/kawasaki-engines-usa-data-scientist","json_url":"https://alion.io/job/kawasaki-engines-usa-data-scientist.json","meta":{"generated_at":"2026-11-05T12:02:46Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":15428,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2776335},"rest":"https://alion.io/mcp/rest/get_company?id=2776335"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkawasaki-engines-usa-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fkawasaki-engines-usa-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fkawasaki-engines-usa-data-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/kawasaki-engines-usa-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkawasaki-engines-usa-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3752532}},{"tool":"search_jobs","arguments":{"company":"kawasakienginesusa.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3752532},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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