Data Scientist - Pricing & Product Strategy

October 23

Apply Now

Receive Emails with Similar Jobs

Dealer Tire

WebsiteLinkedInAll Job Openings

automotive • tires • maintenance • distribution • program management

1001 - 5000

💰 $157.9M Private Equity Round on 2009-09

Description

• Manage large datasets • Dive deep into data • Utilize programming tools to cleanse, validate, and ensure the quality of large structured and unstructured data sets • Apply transformation techniques • Use SQL and data APIs to interact with data stored in various systems • Apply machine learning or other applicable techniques to enhance usefulness and reliability of large data sets • Collect and curate data needed for research • Identify and execute projects that provide significant value to the organization • Develop mathematic models • Apply statistical and algorithmic methods • Communicate findings through clear, visual presentations • Provide data-driven insight for internal partners • Serve as key contributor and developer for assigned projects • Guide the technical design of data science solutions • Ensure project sponsors are consistently kept up to date on project status • Independently interface with client technical teams and business owners • Provide advanced-level development, testing, debugging and documentation • Quantify impact of analyses and changes • Produce regular reporting and analysis • Support the design and maintenance of data science tools and reporting • Document, update, and analyze data science production processes • Participate in brainstorming sessions for new data science projects • Assist in researching and presenting examples of similar projects • Collaborate with stakeholders to gather requirements • Ensure software development and statistical approaches adhere to best practices and quality standards • Assist team members with routine data analysis tasks • Participate in team discussions, share learnings from completed projects

Requirements

• Master’s degree in Mathematics, Computer Science, Engineering or other quantitative fields • 2-5 years of experience • Ability to present complex technical material to executive audiences • Proficient with project management and product management skills sets • Works with a sense of urgency and is able to work independently with minimal supervision • Proficiency in MS Office (Excel, Word, Power Point) • Advanced proficiency in programming languages for statistics and automation (Python) • Proficient in data-access languages (SQL, PostgreSQL, T-SQL) • Experience with Alteryx • Experience with Amazon Web Services (AWS) • Proficient with version control approaches for product development (Unit testing, Git, documentation, logging, etc.) • Proficient in statistical modeling, supervised and unsupervised machine-learning frameworks (SciPy, Caret, sklearn) • Familiarity with container services is a plus (Rancher, Kubernetes, Docker) • Familiarity with OBIEE, Salesforce or Google Analytics platforms is a plus

Benefits

• paid time off • medical • dental • vision • 401k match (50% on the dollar up to 7% of employee contribution)