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Entry Level Behavioral Data Science Jobs in California

The Data Science Team Our Impact Data is core to Parafin's mission to grow small businesses. Our ... Building and shipping ML models (XGBoost and friends) that forecast merchant repayment behavior ...

... behavior in ways stakeholders can trust. You will help define the good analytical context agents ... Build data science prototypes using Python, SQL, notebooks, APIs, and AWS-aligned data services.

... behavior and system failure modes. • Expand risk monitoring into new areas, including ... Required : • Significant experience in data science or applied analytics in high-stakes domains ...

Statistics - Good applied statistical skills, including knowledge of statistical tests, behavior ... Hands-on experience with data science tools * Problem-solving aptitude * Analytical mind and great ...

Data Scientist

San Francisco, CA · On-site

$210 - $330/hr

Build AI agents that do data science - not just answer SQL questions, but conduct end‑to‑end ... user behavior, and you have good instincts for what to measure and what to build. * Deep SQL ...

Shape the direction of some of our key data science areas for 2020 - usage forecasting, product analytics, user behavior and funnel analysis. * Work closely with Product Management, Sales, Customer ...

Statistics - Good applied statistical skills, including knowledge of statistical tests, behavior ... Hands-on experience with data science tools * Problem-solving aptitude * Analytical mind and great ...

Statistics - Good applied statistical skills, including knowledge of statistical tests, behavior ... Hands-on experience with data science tools * Problem-solving aptitude * Analytical mind and great ...

Showing results 41-60

Entry Level Behavioral Data Science information

What is the difference between Entry Level Behavioral Data Science vs Entry Level Data Analyst?

AspectEntry Level Behavioral Data ScienceEntry Level Data Analyst
Required CredentialsBachelor's in Psychology, Data Science, or related fields; basic knowledge of statistics and programmingBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentResearch settings, tech companies, or consulting firms focusing on human behavior analysisBusiness environments, marketing firms, or finance departments analyzing data trends
Employer & Industry UsageOrganizations studying consumer behavior, user experience, or social sciencesCompanies seeking to interpret data for decision-making, reporting, and operational insights

Entry Level Behavioral Data Science focuses on understanding human behavior through data, often requiring knowledge of psychology and statistics. Entry Level Data Analysts primarily interpret and visualize data to support business decisions. While both roles require analytical skills, behavioral data science emphasizes behavioral insights, whereas data analysts focus on data reporting and visualization.

What are the most commonly searched types of Behavioral Data Science jobs in California?

The most popular types of Behavioral Data Science jobs in California are:

What are popular job titles related to Entry Level Behavioral Data Science jobs in California?

For Entry Level Behavioral Data Science jobs in California, the most frequently searched job titles are:

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The top searched job categories for Entry Level Behavioral Data Science jobs in California are:

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Cities in California with the most Entry Level Behavioral Data Science job openings:

Data Scientist

Parafin, Inc

San Francisco, CA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

About Us:
At Parafin, we're on a mission to grow small businesses.
Small businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.
We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners.
We're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more - all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.
Join us in creating a future where every small business has the financial tools they need.
The Data Science Team
Our Impact
Data is core to Parafin's mission to grow small businesses. Our platform partnerships and portfolio provide rich insight into SMB financial health, allowing us to create fair, automated, and broad access to financial services. As Parafin scales, the breadth and depth of our data grows with it, amplifying the impact we can have on customers and the trajectory of the business.
Our Team
Enthusiasm, skepticism, and respect for data are in our DNA - two of our co-founders were PhD data scientists at Robinhood. Since our founding, we have grown the team to include perspectives from graduate studies in physics, mathematics, bioengineering, economics, financial engineering, and electrical engineering and professional experience at Robinhood, Uber, Lyft, Airbnb, Faire, Segment, Facebook, and Google. We value first-principles thinking, attention to detail, and craftsmanship.
Our Work
Our mission is to help Parafin succeed by leveraging the vast data that powers our platform. Our team partners closely with leaders across the company to drive impact. This role's scope includes:
Growth: We design experiments and analyses that expand access to capital while keeping the portfolio healthy. Example projects:
  • Designing experiments that navigate the tradeoff between growth and risk - expanding access to capital while keeping the portfolio healthy
  • Studying the full merchant lifecycle - first offer, repayment, repeat capital - to find where we can responsibly extend more
  • Modeling how a prospective partner's portfolio would perform on our platform, so we can size new opportunities before launching

Portfolio Monitoring & Servicing: We build models and tooling that forecast portfolio performance and measure the impact of our servicing efforts on merchant outcomes. Example projects:
  • Building and shipping ML models (XGBoost and friends) that forecast merchant repayment behavior - from feature engineering through production deployment - to inform how we price and size offers
  • Measuring whether our servicing actually works - how much balance we recover after reaching out to a struggling merchant, and what interventions move the needle

Infrastructure: We build the data pipelines, automated systems, and internal tools that let the rest of the company operate at scale. Example projects:
  • Building the data pipelines that power every analysis, dashboard, and ML model across the company
  • Automating processes - lien filings, KYC checks, fraud screens - using APIs, ML, and LLMs
  • Building internal tools - Streamlit apps, dashboards, Slack bots - that the rest of the company uses every day

Beyond these focus areas, our team helps expand our impact by recruiting exceptional talent, improving our tools, and supporting each other through regular seminars and project reviews.
About You
Your Impact
You will make an outsized impact on Parafin's trajectory by leading projects from end to end. You will quickly learn new methods, apply them across diverse areas of the business, and implement them robustly. You will develop expertise in specific areas of the business, but may tackle projects across domains as our priorities evolve.
Your Background and Skills
Bachelor's Degree (or higher) in Computer Science, Statistics, Mathematics, Data Science (or related fields). We believe the most effective data scientists bring the following skills to their work:
  • Statistical Reasoning
    • Approach data analysis with a critical, intellectually honest eye
    • Design concise metrics that guide decision making
    • Use robust causal inference methods
    • Develop valid and predictive machine learning models
  • Business Acumen
    • Identify and effectively prioritize business problems
    • Solve business problems using appropriate data science techniques
    • Anticipate the impact of your work on our financial performance, customers, and compliance obligations
  • Engineering Mindset
    • Write legible, reliable, and tested code
    • Build or source tools to boost the team's efficiency
    • Contribute to model and data infrastructure design
  • Leadership and Collaboration
    • Model Parafin's values of efficiency, intellectual honesty, accountability, and empathy
    • Build trusted relationships with stakeholders
    • Document work, seek feedback, and share learnings proactively
    • Mentor other DS members on the team
    • Management experience, a plus!
  • Focused Execution
    • Prioritize high-impact use of your time
    • Scope projects rigorously
    • Act with urgency
  • AI Tool Fluency
    • Rapidly learn and adopt emerging AI tools and workflows to accelerate analysis
    • Critically evaluate AI-generated outputs for accuracy and reliability

What We Offer
  • Salary:
    DS / Senior DS: $200k - $260k + EQ
    Staff/Principal: $265-330k + EQ
  • Equity grant
  • Medical, dental & vision insurance
  • Work from home flexibility
  • Unlimited PTO
  • Commuter benefits
  • Free lunches
  • Paid parental leave
  • 401(k)
  • Employee assistance program

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.