The Zebra - Remote Consulting Jobs
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Requirements
• While we are open to remote work across the contingent US, we are still establishing our company to support work in all states! We are set up to support employees who want to be fully remote, in-office only, or a mix of the two. • Please note—we will not be supporting work based out of the following states: CA, NY, MA, and NJ. • As we evaluate candidates across all roles, we look for folks with a strong sense of ownership, great communication and collaboration skills, and a dedication to continuous improvement. • 3-10 years' experience in a technical data role with 3+ years of hands-on experience building machine learning / statistical models • MS / PhD in a quantitative field is a plus but not required • Proven mathematical foundation and knowledge of a variety of ML and statistical methods (e.g. regression, classification, clustering, experimental design) • Solid foundation in software engineering with a strong proficiency in both core Python and the Python data ecosystem (sklearn, pandas/polars, etc) • Basic familiarly with engineering topics like CI/CD, unit testing, orchestration, cloud ecosystems is required • Experience mentoring junior data scientists is a plus • Experience that will Impress the Heck Out of Us: • Experience modeling customer/human behavior in a B2C context • Familiarity with reinforcement learning especially contextual bandits • Familiarity with causal inference • Familiarity with marketing measurement methods • Interview Process: • Recruiter Screen: • Hiring Manager Screen: • A call with the hiring manager to dive deeper into your technical skills, experience, and alignment with the team’s goals. • Technical Interview: • A series of technical interviews to assess your problem-solving abilities, coding skills, and expertise in data science methodologies. • Final Panel Interview: • A comprehensive interview with key stakeholders and team members to evaluate your fit within the team and company culture. • Interview Process: • Recruiter Screen:
Responsibilities
• Collaborate cross-functionally with product managers, engineers, and analysts to scope and deliver on data science opportunities. • Participate in the data science lifecycle from end to end - wrangling data in our warehouse to building and deploying models to analyzing experiment results and quantifying model impact. • Build machine learning models to personalize our product and connect users with policies that best fit their needs. • Work closely with cross-functional stakeholders to understand business needs and develop ML based solutions. • Analyze product data, design experiments, and drive the collection and integration of new data sources. • Write clean, maintainable production code using software engineering best practices in Python. • Perform peer code reviews, mentor other data scientists, and promote continuous improvement in our platform and practices.
Benefits
• Inclusive and healthy environments are crafted intentionally. All of our employees can join and participate in (or create your own!) Employee Resource Groups. Here are some other wonderful perks of working here: • Competitive Compensation & Stock Option Offering • Health, Dental, Vision & Disability Coverages • HSA offering + employer contribution • 401k plan + employer match • Unlimited PTO (paid time off)+ the flexibility to enjoy it • Paid Parental Leave Program • Wellness perk ($100/month) • Pet Adoption Reimbursement ($300/year) • Learning & Development Opportunities
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