Data Scientists

Job Title: ( Data Scientists ) About Kyyba: Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances. At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development. Job Description : Job Description: Job Description: Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. In this position... Customer Service Analytics team, part of Sales and Services Data and Analytics (SSDA) department in Customer Service Analytics Global Data, Insight and Analytics (GDI&A) organization, is looking for a highly skilled Data Scientist. This role will be a member of RAV (Re-Acquired Vehicle) analytics team supporting all stages of RAV analysis from problem formulation, model /analytical framework development, evaluation, to model deployment to help Customer Service Analytics achieve RAV objectives. The Client RAV Analytics team applies advanced quantitative methods and systematic econometrics and AI/ML /LLM models to derive insights and solve a wide variety of challenging problems in various area of Client: RAV forecast, RAV count/spend monitoring/trend study, RAV root cause study, RAV reduction analytical support/evaluation, quality action effectiveness on RAV, VOR/uptime, early quality detection…through analyzing vast amounts of data including RAV, quality, repair orders, repeat visits, parts order and supply, service, warranty claims, recall…etc. The deep-dive and advanced analytics/quantification analysis supported by this role will be instrumental in supporting FCSD's business objectives and transformation through data-driven decision-making. Skills Required: Python, GCP, SQL, Data Analysis Experience Required: 3+ years of hands-on experience on a broad range of analytical techniques including forecasting, regression, and AI/ML/LLM methodologies · Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods. 3+ years of proficient experience in training, evaluating, and fine-tuning a variety of machine learning models, ensuring optimal performance and reliability · 3+ years of experience and proficient in programming languages such as Python for data manipulation, analysis, and model development · 3+ years of experience in processing large, high-dimensional structured and unstructured data, including thorough data preprocessing, data cleaning, and feature engineering to prepare datasets for model training and evaluation Experience Preferred: 3+ experience GCP (Google Cloud Platform): Vertex AI, Big Query, GCS (Google Cloud Storage), Google Cloud SQL, Looker studio · 3+ year of post-graduate work experience in auto industry involving complex quantitative analytics and modeling · 5+ years of work experience with Python and SQL · 5+ years of work experience in big data manipulation, statistical analysis, modeling, optimization, AI/ML/LLM… · Curious, high level of initiative, detail-oriented and ability to multi-task · Fast learning in theoretical modeling and coding. Strong problem formulation and problem solving skills · Comfortable working in an environment where problems are not always well-defined Education: Master’s degree in Statistics, Data Science, Econometrics, Engineering, Physics, or related quantitative field or a combination of education and equivalent work experience. Preferred: Ph.D. in a quantitative field such as Statistics, Data Science, Econometrics, Engineering, Physics, or related quantitative field Additional Information: support regional CSM (Customer Satisfaction Model) model framework design/development, model maintenance, model enhancement and model daily monitoring using Looker Studio. • Support RAV annual count forecast taking into consideration of various factors such as brand, fuel type, launch type, new car sales, and macro environment… in addition to various types of RAV origination. • Support RAV Root Cause analysis by studying repair order and warranty claim history to derive and identify potential drivers/trend for RAV • Conduct various deep-dive analysis on RAV vehicles to help identify/detect early indication of RAV and uncover/provide insights to business to prevent/reduce RAV • Conduct quick turn-around studies to answer frequent/various/urgent business requests by mining, managing, and exploring a variety of data sources and extracting/deriving insights from structured and unstructured data sets that are often very large and high-dimensional • Explore/apply the most relevant quantitative modeling techniques and tools in statistical analysis, econometrics, operation research/optimization, AI/ML/LLM techniques to a variety of real-world business problems within CSD focusing on improving RAV and service quality • Ensure overall quality of the data and solutions throughout the analytics development process • Maintain and enhance existing quantitative models supporting CSD daily decisions • Integrate validation result and visualize analysis/prediction result through visualization tools to provide qualitative/quantitative overview • Interact/collaborate effectively cross-functionally with a variety of architect, project manager, DE, SE, and other data scientists to test data and model pipeline, validate pipeline output to ensure successful model launch into production environment to maximize business value delivery • Independently and clearly communicating and presenting/interpreting models and analytical results Location: (Dearborn MI and Onsite position) Disclaimer: Kyyba is an Equal Opportunity Employer. Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need.” It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at 248-813-9665 Rewards: Medical, dental, vision 401k Term life Voluntary life and disability insurance Optional Pre-paid legal plan Optional Identity theft plan Optional Medical and dependent FSA Work-visa sponsorship Opportunity for advancement Long-term assignment with opportunity for hire by client SELECT AWARDS • An INC 5000 company for 10 years • Corp! Michigan Economic Bright Spots • Crain’s Detroit Business Top Staffing Service Companies in Detroit • TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions • Best of MichBusiness winner in HR Wizards & Partnerships • Metro Detroit Elite Category: Recruitment, Selection & Orientation for 101 Best & Brightest • 101 Best & Brightest Companies to Work for in Michigan