Senior Applied Scientist
MotiveSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Automotive Retail TechnologyIndustries
Requirements
Candidates must hold a Master's or PhD degree in Data Science, Mathematics, Operations Research, or a related field, with a background in probability and statistics, applied mathematics, or computational science, and a proven history of solving challenging problems with significant business impact using a scientific approach. They should possess 0-12 months of hands-on experience in analytics, data science, and big data within a business context, along with experience in programming using Python or similar languages and maintaining code repositories in Git.
Responsibilities
The Senior Applied Scientist will work directly with application and product teams to define, develop, and implement appropriate machine learning solutions for specific problems, generate new solutions for automotive industry business challenges, define evaluation metrics for offline and online model assessment, incorporate new data sources, and improve model performance. They will also contribute to building production systems for decision-making, communicate effectively with customers and development teams, and consistently apply data-driven business and technical judgment to decisions.
Skills
Machine Learning
Data Science
Statistics
Mathematics
Operations Research
Big Data
Model Evaluation
Data Integration
Production Systems
Business Impact Analysis
Tekion
Cloud-native platform for automotive retail management
About Tekion
Tekion has developed a cloud-native platform designed for the automotive retail industry. Its main product is a Dealer Management System (DMS) that utilizes technologies like Big Data, the Internet of Things (IoT), and Machine Learning (ML) to improve the operations of car dealerships. The DMS provides a centralized view and performance metrics for dealership groups, allowing for better management and increased operational efficiency. Tekion differentiates itself from competitors by being the first and fastest cloud-native DMS available, and it integrates seamlessly with major Original Equipment Manufacturers (OEMs) at no extra cost. The company's goal is to enhance dealership efficiency, profitability, and customer experience through its subscription-based software-as-a-service (SaaS) model, which also includes additional services to help dealerships identify upsell and cross-sell opportunities.
Pleasanton, CaliforniaHeadquarters
2016Year Founded
$617.8MTotal Funding
GROWTH_EQUITY_VCCompany Stage
Data & Analytics, Automotive & Transportation, AI & Machine LearningIndustries
1,001-5,000Employees