Top 10 highest paying companies that use Pandas

Anticipated annual base salary $185,000 - $215,000 plus 10% annual bonus opportunity; plus benefits including medical, dental, vision insurance, flexible PTO, 401k plan, paid parental leave, Wellhub and Headspace, monthly wifi/cell reimbursements, and annual Learning & Development reimbursement.

Hi, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. As a Data Scientist on our team you’ll be responsible for building, improving and maintaining the key ML models that enable our services. Key problem spaces include identifying credit risk, identifying fraud early, and optimizing transaction timing to avoid overdraws. Role Overview: Build, test and roll out new underwriting and risk models; own the full modeling lifecycle from conception through production; build, test and roll out models related to fraud and payments; contribute to best practices for feature development, model training and model testing and monitoring; analyze how customer base is shifting and pinpoint improvements; help engineering and business teams achieve cross-functional goals; mentor more junior data scientists. What you have: 6+ years of experience doing data science (modeling + analysis); advanced degree in data science, statistics, computer science, or related; proven expertise in machine learning principles; experience in Python using sklearn, JupyterLab, pandas, matplotlib, statsmodels; experience writing complex SQL queries; creating training data sets, training models, tuning hyperparameters, validation, running A/B tests in production, performance and model monitoring; building classification and prediction models and iterating in a startup environment; ability to communicate clearly cross-functionally; strong written and verbal communication. Benefits: Medical, dental, and vision insurance; Flexible PTO; 401k plan; Paid Parental Leave; physical and mental wellbeing benefits including Wellhub and Headspace; monthly reimbursements to use against wifi and cell phone bills; annual reimbursement for Learning & Development; high-growth company and dynamic, flexible, collaborative start-up work environment.

$190K–$210K + equity; full-time. Salary range shown in USD.

Neo.Tax automates R&D tax credits and software cost capitalization for enterprises. We ingest data from project management, payroll, identity, and financial systems and use ML/LLMs to turn a process that used to take months into one that takes hours. Small team, real revenue, lots of hard problems in data extraction and pipelines at scale. Currently serving customers like Mercury, Brex, Notion, Adobe, and Capital One. We're hiring two senior roles: (1) Senior Full-Stack Software Engineer (7+ yrs): TypeScript/Node + React; data ingestion pipelines processing millions of records and flexible schemas; own projects end-to-end, scope with cross-functional partners, ship customer-facing and internal tooling. Bonus: GraphQL, GCP/AWS/Azure, Terraform/DevOps. (2) Senior Data Scientist + ML Engineer (6+ yrs): Own ML/AI problems from definition through production: classification, information extraction, entity resolution, ranking, anomaly detection, plus LLM systems (prompts, retrieval, tool-calling, eval). Python (NumPy/Pandas/sklearn/PyTorch), strong SQL, and real production deployment experience. Bonus: synthetic data, RAG, experience fine-tuning LLMs. Both are senior, high-autonomy roles—comfortable breaking ambiguous requirements into iterative deliverables and reading unfamiliar code. Not a fit if you want heavy mentorship or detailed specs handed to you. Apply via Ashby jobs link.

$100k-$200k + meaningful equity + benefits

Careignition interprets messy healthcare data for benefits consultants, healthcare systems and Fortune 500 employers using our proprietary cognitive algorithms. We’re looking for a Senior Software Engineer to help us scale our product! Ideal candidates have data and/or experience working with large datasets in a distributed environment. Experience developing or maintaining web apps is a huge plus.

Full-time role with salary range $156k-$196k (USD).

DataSF is looking for a Senior Data Engineer to help build the city's central Snowflake platform powering most of SF's analytics, open data, and ML efforts. This role mixes data infrastructure (CI/CD, Terraform), building pipelines (ADF, dbt, Python), and platform engineering and administration (Snowflake).

Salary range for both roles 120-180K

Join us to make healthcare benefits less confusing. Backed by top VCs (Greycroft and Pear VC), we built a platform to help employees pick the right health insurance through a personalized recommendation. Following successful initial clients, we are growing the team to scale the platform and build more features. Our tech: Python, Django, Pandas, Tailwind, Alpinejs, AWS Lambdas, S3, RDS Why Budgie: People shouldn’t need a PhD to understand their healthcare. At Budgie, we are reinventing how Americans interact with their healthcare benefits. We believe that by translating complex healthcare data into simple financial experiences, we can empower people to make better decisions while saving time, money and stress. We are starting by modernizing how employees choose their health insurance plan. Ask your friends if they need help picking their health insurance and you will understand how big the opportunity is.

$70k - $180k (location-based) + equity

Join martini.ai as we transform the $2 trillion private lending industry. We use cutting-edge AI and deep market insights to provide credit risk estimates for private companies. We are a small, scrappy team (4 engineers + UX consultants + CTO) with VC funding. The co-founders (CEO and CTO) are repeat entrepreneurs, ex-YC, and ex-Wall Street. We are looking to bring in people to fill multiple roles. We need people who are resourceful, independent and curious, who can thrive in a startup environment. But above all we need people who can be generalists; we are a small team and everybody wears multiple hats. So if you're a dev who is looking to learn a bit about finance, or a quant who is looking to learn a bit more about software, martini.ai is the place for you. Prior experience in finance is a huge plus.

$125,000-$175,000/annum

Plover Parametrics is a seed-stage company helping the insurance industry adapt to climate change. We do this by helping insurance companies structure and price products for natural disasters like wildfire and hurricanes. The products that we help bring to market allow insurance companies and their customers to be more climate resilient. We are looking for an experienced software engineer to expand the platform with which new kinds of insurance products get developed, sold, monitored, and triggered. Our application stack is NextJS / Node / SQL and fed by a data science stack of Python / Pandas / NumPy. We use petabyte scale satellite and disaster data to feed performant geocentric applications that allow insurers to understand and measure risks in ways they never could before. Full job desc is available here: <a href="https://www.ycombinator.com/companies/plover-parametrics/jobs/Xer90Oy-full-stack-software-engineer">https://www.ycombinator.com/companies/plover-parametrics/job...</a> Please contact: founders@plover.insure if you have questions about the post.

$85k–$125k base + 401(k) match, health stipend, PTO

We’re an urban planning consultancy building the CommunityScale Housing Forecast, tools and maps that help cities plan housing and growth. Small, focused team; real-world impact. You’ll work on: APIs & performance: Extend FastAPI endpoints (forecast overrides, analytics), tune queries/caching, containerize heavy jobs on Cloud Run. Data engineering: Ingest ACS/FRED/Zillow; refactor transforms to SQL/dbt; manage schema migrations; keep tilesets fresh. Geospatial UX: Improve PostGIS/GeoAlchemy2 pipelines and map rendering (e.g., overlapping township/municipality z-index issues).

£70k–£100k + up to 1% equity

We’re an AI agent that automates pricing and promotions for short-term rental operators on Booking.com and Airbnb. Bootstrapped to real revenue, recently funded, small team. The role is the founding ML/data hire fixing the approach from rules-based toward data-driven. You will work with Booking.com private API data, Airbnb channel data, and scraped competitive pricing across thousands of properties. Responsibilities include shipping clean production Python in a Django codebase, thinking in experiments, understanding correlation vs causation (time series a plus), and using frontier AI coding tools/agents to ship fast. You should have startup experience and thrive in ambiguity.

£28k+pa + share options, £36k+pa + share options

Fresh4cast is an early growth-stage company transforming the fresh fruit and veg sector by providing accurate, real-time forecast-as-a-service across the fresh produce supply chain. We are looking for a senior data scientist to come and take over from the CEO and lead/build our data science team, and a full-stack Python developer to join our CTO in building the platform, and delivering to customers. You will be our fifth and sixth team members, so we’re looking for people looking to develop their career quickly over the next few years and want to be at the heart of a growing startup. We are currently profitable, and are seeking to expand our successful platform rapidly in 2019.