Benefits & Perks
- Everything you need to work remotely
- Unlimited PTO
- Medical/dental/vision insurance
- 401k through Charles Schwab
- Flexible Spending Account, Limited FSA, and Health Savings Account- with an eligible health care package.
- Company-paid short-term and long-term disability plus basic life insurance.
- Family-friendly maternity and paternity leave
- Employee assistance program (EAP) via Claremont. Get free short-term counseling for mental health, free + discounted legal consultations, free financial consultations, access to work/life consultants, and more!
- PerkSpot discount program. PerkSpot offers exclusive discounts to 900+ merchants nationwide, and has exclusive discounts up to 60% on hotels worldwide.
- Paid time off to do volunteer work in your community.
- Access to the Wellness Coach app for you and 5 family members
Work-Life Benefits
- Unlimited PTO
- Medical benefit contributions in congruence with local laws and type of employment agreement
What you’ll do:
- Independently support data science projects, from problem formulation to model deployment, ensuring successful delivery and implementation.
- Apply data and algorithmic thinking to identify and understand critical business challenges, and proactively propose data-driven solutions to address them.
- Work cross-functionally to identify high impact business needs and translate them into technical requirements
- Conduct exploratory data analysis to uncover trends, patterns, and correlations that provide a deep understanding of our products, customers, and market dynamics.
- Utilize statistical techniques and machine learning algorithms to build predictive models, recommend improvements, and optimize business processes.
A successful candidate will have the following skills & experience:
- Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. A Master's or Ph.D. degree is preferred.
- Minimum 3+ years of data science experience, with a focus in machine learning, with a track record of successfully leading and delivering complex data science projects
- Strong foundational skills: Python, pandas, SQL
- Hands-on experience with machine learning tools, techniques, and frameworks (e.g. sklearn, Tensorflow, etc)
- Strong communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels of the organization.

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