Data Scientist II
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Job Location:
San Jose, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Innovate with purpose
At BILL we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools we help businessesfrom startups to established brandsmake smarter decisions and gain control of their operations. And we dont stop there: were creating the future of financial automation so businesses can spend more time on what matters.
Working here means you become part of a vision-driven team thats ready to tackle challenges and build cutting-edge solutions. We value purpose drive and curiosityand we thrive in a fast-paced ever-changing environment. Whether in one of our offices in San Jose CA Draper UT or working remotely BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks.
BILL builds high performing teams and we seek to hire the best talent for every role. Were committed to building a workplace that fosters inclusion and diverse perspectives valuing each persons unique skills and experiences. Wed love to hear from youyou might be just what were looking for whether in this role or another.
Lets give businesses more time for what matters.
Make your impact within a rapidly growing Fintech Company
Our Beliefs:
- Data reveals hidden truths that enable better investments.
- Our products are stronger when our roadmaps are data-informed.
- Great data science and analytics thought partners help product teams be more strategic and successful.
The Opportunity:
We are looking for an experienced Data Scientist to join our team. This role is a strategic and integral part of our company supporting the core product platform and partnering with others on the team to unlock value through solutions modeling. This role will give you the chance to own an end-to-end predictive human-in-the-loop solution directly used by Sales and Product teams.
Responsibilities:
- Model Development: Design develop and implement predictive models machine learning algorithms and statistical analyses to solve complex business problems and extract actionable insights. Think product engagement card decline potential to spend etc.
- Data Analysis: Analyze high volume complex transaction activity to assess patterns and trends for card declines and correlate with other customer outcomes.
- Cross-Functional Collaboration: Communicate findings trade-offs and limitations clearly with internal and external stakeholders (tech and non-tech) at various levels.
- Innovation: Stay updated with the latest developments in data science and machine learning and apply them to improve existing processes and methodologies. Deploy AI tools that enhance customer insights and engagement and contribute to improving data confidence and automation in analytics workflows.
- Opportunity Identification: Enrich our evolving data stack via contributing to data features/models via AWS Sagemaker/Databrick or other means.
Wed love to chat if you have:
- Advanced Degree or Proven Experience: Masters in Data Science Computer Science Statistics Mathematics or a related field and a minimum of 2 years of experience in a data science role with a track record of delivering high-impact projects into production.
- Technical Expertise: Strong background in statistical analysis machine learning techniques and programming languages such as Python or R in a cloud-based environment.
- Problem-Solving Skills: Ability to analyze complex business problems and develop data-driven solutions that actually influence the end-users workflow.
- Communication Skills: Excellent communication and presentation skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Collaborative Mindset: Experience working in cross-functional teams and partnering with other departments to drive business outcomes.
#LI
The estimated salary range for this role is noted below for our San Jose based role. Our ranges for each role and job level are based on a variety of factors including candidate experience expertise and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that includes: medical dental vision life and disability insurance 401(k) retirement plan flexible spending & health savings account paid holidays paid time off and other company benefits.
Whats in it for you
Redefining how businesses automate their work is a fast-paced exciting and fun environment. But we also have benefits and perks to ensure the magic isnt only experienced by our customers but by our employees as well.
Here is a preview of some of the amazing benefits here at BILL:
- 100% paid employee health dental and vision plans (choose HMO PPO or HDHP)
- HSA & FSA accounts
- Life Insurance Long & Short-term disability coverage
- Employee Assistance Program (EAP)
- 11 Observed holidays and wellness days and flexible time off
- Employee Stock Purchase Program with employee discounts
- Wellness & Fitness initiatives
- Employee recognition and referral programs
- And much more
Dont believe us Check out our culture benefits and teams on our career site LinkedIn Life or YouTube pages.
BILL is an Equal Opportunity Employer. We believe our best ideas come from the unique stories perspectives and experiences of our team members. We welcome people of all backgrounds abilities and identities to bring their authentic selves and contribute to our culture.
We are committed to a transparent inclusive hiring process that reflects our values. If you need accommodations at any stage please contact . To ensure a fair evaluation our Candidate Integrity Policy prohibits the use of unapproved external assistance including generative AI during live interviews or assessments. Doing so will result in a review and potential disqualification.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
