About Dealerware:

Dealerware is modern fleet management for the modern retailer. We are proud to be one of the hottest software companies in the automotive sector. By combining a modern-approach with fresh design thinking, Dealerware’s industry-leading SaaS platform enables best-in-class fleet management and mobility for top automotive dealerships and manufacturers. Three years ago, we burst onto the scene with a promise to reduce costs and elevate the customer experience at automotive dealerships. 

Dealerware currently manages fleets for 28 automotive brands and 10 of the top 10 dealer groups in the country. With a recent expansion into international markets, our growth trajectory continues to be within the top 1% of SaaS businesses. Across the automotive ecosystem, there’s hundreds of billions of dollars at stake. And we’re right in the swell of it.

Dealerware is looking for a Data Scientist to apply their deep understanding of statistics, analytics, machine learning and programming to discover hidden opportunities, trends and patterns. Working on our platform, they will ask the right questions, connect the dots and design the right model to translate data into actionable insights. We are looking for a strong self-starter who will work closely with product management, engineering, design and research to co-create and drive a culture of curiosity and experimentation.

As a Data Scientist, you will:

● Identify opportunities for future product development or opportunities in existing products by analyzing data

● Selecting features, building and optimizing classifiers using machine learning techniques

● Analyzing data for trends and patterns and to find answers to specific questions

● Data mining using state-of-the-art methods

● Extending company’s data with third party sources of information when needed

● Enhancing data collection procedures to include information that is relevant for building analytic systems

● Processing, cleansing, and verifying the integrity of data used for analysis

● Doing ad-hoc analysis and presenting results in a clear manner

● Creating automated anomaly detection systems and constant tracking of its performance

● Identify key product KPIs and analytics, and develop experiments to test thoroughly and validate development team’s output based on business requirements

● Develops benchmarks that measures the performance of our algorithms and telematics/connected car device services

Required Experience:

● Experience with supervised and unsupervised machine learning techniques and algorithms, including but not limited to: clustering, regression, neural networks, reinforcement learning, anomaly detection, etc.

● Experience with the data science package ecosystem in Python (e.g. Pandas, SciKit-Learn, Numpy) as well as deep learning packages such as TensorFlow and PyTorch.

● Experience with building scalable data science packages to work in production data pipelines (Kafka and Redis experience strongly desirable).

● Experience designing and understanding results from experiments including, power analysis, analysis of variance, correlation techniques, and factor analysis.

● Masters in Computer Science, Statistics, Biology, Chemistry, Physics, Math, or other quantitative field

● Passion for empirical research and answering hard questions with data, insatiable curiosity

Preferred Experience:

● Conceptual understanding of various database structures and their optimal uses. Snowflake, MySQL, Postgres, experience strong plus.

● Strong understanding of distributional statistics and experience applying advanced statistical methods to business and product problems.

● 1+ years of relevant industry experience

Dealerware offers you:

● Competitive base salary with bonus incentive eligibility

● Full benefits (medical, dental, vision, 401K) + FREE telehealth (includes therapy visits)

● Training for all employees provided in Udemy

● Tuition Reimbursement and continuing education

● Unlimited paid vacation policy

● Generous Paid Parental Leave program

● 100% remote work (2021). Hybrid model or 100% remote anticipated post-COVID (depends on candidate background and preference)

● Modern office and a dynamic team in downtown Austin with free parking

● Friendly, small company environment with a progressive culture and somewhat flexible hours

● Backed by Audi, a 111-year-old automotive industry leader

● Semi-flat organizational structure that ensures your influence on products we build

● Discounts on Silvercar rentals and participation in an Audi Lease Program

IND789

Dealerware is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. Dealerware's management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment.

*We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas.