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DriveTime

Pre-owned car retailer using proprietary tech

Assistant Director of Data Science

Data ScienceUpdated on Nov 12
Full-timeTempe, AZ, USANo salary listed

About the Job

Requirements

  • The role requires 4 or more years of experience in data science, machine learning, or advanced analytics.
  • The role requires 2 or more years of experience leading, managing, or mentoring technical analytics or data science talent.
  • The role requires a bachelor's degree in a quantitative field such as Mathematics, Statistics, Engineering, Economics, Finance, Computer Science, Physics, Chemistry, or a related field.
  • The role requires advanced proficiency in Snowflake, SQL, and Python.
  • The role requires experience in stochastic modeling, machine learning, and advanced mathematical techniques such as neural networks, simulation, and graph analysis.
  • The role requires a strong track record of communicating results, insights, and technical solutions to senior executives.
  • The role requires strong business acumen to collaborate with and influence business operations in developing strategies supported by advanced analytical solutions.
  • The role requires the ability to handle highly sensitive and confidential information and build cross-functional partnerships across the business.
  • The role requires excellent verbal and written communication skills for varied audiences, including management.

Responsibilities

  • Advise senior leadership on developing data science solutions that enhance the company’s long-term business strategies.
  • Oversee machine learning models through design, training, evaluation, validation, and implementation.
  • Maintain relationships with academic and industry thought leaders to give the enterprise access to emerging thinking and technologies.
  • Collaborate with analytical leaders to support the business’s strategic direction through data and information exploration, research into emerging technologies and analytical techniques, and long-term or project-specific strategic assignments.
  • Partner with enterprise analytical and information technology teams to build core capabilities and processes.
  • Identify additional resource needs, including information technology investments, third-party support, and additional analysts.
  • Understand the business direction, environment, and strategies to identify and recommend solutions that influence decision makers and drive change.
  • Direct the design and construction of large, complex datasets from internal and external structured and unstructured data to enable analytical solutions.
  • Build and lead a high-performing team of advanced analytics experts and develop the team’s reputation as highly skilled data science experts.
  • Collaborate with business operations to create and execute operational and strategic plans.
  • Work with information technology, business intelligence, and other areas to make major improvements to analytical processes and systems.

Desired Qualifications

  • Experience using AI-assisted or automation-focused tools to support and accelerate data science workflows.

About the Company

DriveTime

Pre-owned car retailer using proprietary tech

DriveTime is a national pre-owned car retailer that connects buyers with reliable used vehicles and a full suite of services. What it does: it helps customers purchase, finance, and protect pre-owned cars, using its nationwide network and proprietary technology to streamline the buying process. How its product works: customers browse and select from a catalog of certified pre-owned vehicles; DriveTime applies its proprietary tools to assess eligibility and approve financing, then offers financing options and protection plans as part of the sale. How it differs from competitors: it combines over twenty years of industry experience with exclusive software tools to speed up approvals, tailor vehicle matches to customers, and simplify the purchase, financing, and protection experience in one place. What the goal is: to improve the lives of customers and communities by expanding access to affordable, reliable vehicles and growing its footprint across new territories.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Phoenix, AZ
Founded
2002

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