Qualifications 2+ years of professional experience utilizing quantitative analysis/ data management (data design, data quality, metadata, governance, etc.)BS or higher degree in a quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, finance or other related degree1 – 2 years of experience in Machine learningProficiency in Python and SQLExperience with AWS services, Cloud ELT/ETL, SnowflakeStrong knowledge of end-to-end data lifecycle across traditional data warehouses, relational databases, operational data stores, business intelligence reporting, as well as new concepts such as data fabrics, data mesh, and data lake houseStrong understanding of data governance, metadata management, data quality, data modeling, and data architecture conceptsExperience creating data solutions as well as conceptual and logical data modelsExperience with metadata managers, data profiling tools, data cataloging tools and visualization toolsExperience with solution integration or solution architecture practicesKnowledge of data technology products and components for Big Data and Cloud (AWS, Data Lakes, and similar)XML and JSON file format knowledgeSoftware development experience with object-oriented/object function scripting languages: Python, Java, Javascript, C++, Scala, etc.Experience with Object Oriented Concepts/Development/ModelingAbility to work collaboratively in a complex, rapidly changing, and culturally diverse environmentAbility to clearly communicate complex technical ideas, regardless of the technical capacity of the audienceComfortable working in a dynamic environment where digital is still evolving as a core offeringStrong community involvementResponsibilities Collaborate with cross-functional teams to drive innovation, solve complex challenges, and contribute to the development of cutting-edge solutionsYour mission is to cultivate a data-driven product development culture, utilizing insights to optimize our digital investmentsDrive the expansion of Rental revenue and customer base by enhancing dealer business operations and elevating product utilization through enhanced customer engagementsData Analysis: Conduct exploratory data analysis to extract meaningful patterns, trends, and insights from complex rental datasetsModel Development: Assist in building and refining predictive models to support various business objectives, contributing to the advancement of data science initiativesCollaboration: Work closely with cross-functional teams, providing data-driven insights and collaborating on projects to solve business challengesFeature Engineering: Contribute to the identification and creation of relevant features for model development, enhancing the predictive power of data modelsData Cleaning and Preparation: Engage in data cleaning and preprocessing tasks to ensure data quality and reliability for analysis and modelingDocumentation: Document your analysis, methodologies, and findings to facilitate knowledge sharing within the team and across the organizationContinuous Learning: Stay abreast of the latest developments in data science and related technologies, actively seeking opportunities for professional growthExperimentation: Participate in the design and execution of experiments to test hypotheses and improve the performance of data modelsProblem-Solving: Apply critical thinking and problem-solving skills to tackle challenges and contribute to the resolution of complex issuesCommunication: Clearly communicate technical findings and insights to non-technical stakeholders, fostering a collaborative and data-informed environmentBenefits Competitive salary and annual bonus programMedical, dental, and vision coveragePaid time off plan (Vacation, Holiday, Volunteer, Etc.)Company-matched 401(k) planStock option opportunity over timeHealth savings account (HSA)Flexible spending accounts (FSAs)Short and long-term disability coverageLife InsurancePaid parental leaveHealthy Lifestyle ProgramsEmployee Assistance ProgramsVoluntary Benefits (Ex. Accident, Identity Theft Protection)Strong community involvement#J-18808-Ljbffr