Senior Data Scientist
MariaDB
- New York, New York, United States
- New York, New York, United States
À propos
About the Role We’re hiring a
Senior Data Scientist
with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You’ll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions.
This is a hands‑on, high‑autonomy role. You’ll work across the full data stack—writing sophisticated SQL in
BigQuery
and
MariaDB , building automation and tooling in
Python , and leveraging AI‑powered tools like
Windsurf ,
Gemini , and
Claude
to work faster and smarter. You’ll be expected to understand how data is structured end‑to‑end, from source systems through to the warehouse, and to know which analytical approach fits which business question.
You’ll also be a key communicator, translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what’s possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you’re the kind of person who’s always learning the next thing, we’d love to hear from you.
Key Responsibilities
Apply the right analytical methods—statistical analysis, regression, clustering, forecasting, classification—to solve real business problems at scale
Design and build end‑to‑end analytical solutions—from data extraction in
BigQuery
and
MariaDB
to actionable insights and automated reporting
Develop and maintain data pipelines, analytical frameworks, and tooling using
Python
and
SQL
Use AI‑powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis
Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows
Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders
Own the data architecture decisions within your domain—schema design, data modeling, and pipeline reliability
Communicate results, trade‑offs, and recommendations clearly to both technical and business audiences
Map and improve business processes through data‑driven analysis and process design
Requirements & Qualifications
7+ years
of professional experience in data science, advanced analytics, or a quantitative field
Expert‑level SQL —deep fluency in
BigQuery
and
MariaDB
or similar data platforms; you understand query optimization, partitioning, and data modeling
Deep understanding of analytical methods —regression, clustering, time series, A/B testing, classification; you know when to apply what and why
Solid understanding of data architecture —how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads
Proficiency with AI‑powered development tools —Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow
Excellent communication skills— you present complex technical work in a way that drives decisions
Self‑managing and self‑sufficient —you set your own priorities, unblock yourself, and deliver without hand‑holding
Relentlessly curious and ambitious —you’re always learning, always building, always improving
A public GitHub profile
showcasing your projects, experiments, or contributions
Nice to Have
Experience with Next.js
or modern frontend frameworks for building data‑facing applications
FastAPI experience for serving models or internal tooling
Background in business process analysis or operational process design
Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering)—broad organizational exposure is a big plus
Experience with JSON‑based data formats, APIs, and integration patterns
Understanding of Docker and Kubernetes—containerization and cluster orchestration experience is a big plus
Benefits & Culture
Globally distributed team environment
Remote or hybrid work options (location‑dependent)
Challenging projects with company‑wide impact
Competitive compensation, 25 days paid annual leave, plus holidays
A culture that values curiosity, clean engineering, and people who genuinely love what they do
Location
– India (remote)
Travel
– Flexible for adhoc travel
What's in it for you? Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game‑changing organization that encourages outside‑the‑box thinking, values empowerment, and is truly shaping the future of the software industry.
You’ll be collaborating with high‑caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.
Salaries for candidates outside the U.S. will vary based on local compensation structures.
How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.
At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
MariaDB does not sponsor work visas or relocation.
MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.
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Compétences linguistiques
- English
Avis aux utilisateurs
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