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Careers at Sardine
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Data Scientist

INR 3,400,000 - INR 5,000,000/year
10 May 2025
India
Verified by Turrior

Content + Source + Freshness • 12 Dec 2025 • 95% confidence

80 / 100

Offer value

High value role focusing on data science in fraud prevention, appealing to candidates with relevant analytical skill sets and industry understanding.

  • Competitive salary range (34,00,000 - 50,00,000 INR)
  • Role directly involved in fraud prevention with significant industry relevance
  • Flexibility allows for improved work-life integration
Pros
  • Strong focus on applying data science in a high-growth industry
  • Flexibility of remote work enhances work-life balance
  • Collaborative environment with a focus on innovation in analytics
Cons
  • Candidates may need specific industry knowledge in fraud and compliance
  • Potentially high-pressure environment with deadlines for analytical projects
  • Job might not appeal to those out of data science specialization

Who it's for

Mid-to-Senior • Remote

Good fit
  • Experienced data scientists in risk or compliance
  • Professionals with significant analytical and BI tool experience
  • Individuals interested in high-impact data analysis roles
Not recommended for
  • Entry-level candidates without analytical experience
  • Those unfamiliar with fraud or risk domains
  • Professionals seeking roles outside of data analytics

Motivation fit

Desire to improve fraud detection and risk management through dataInterest in working with cross-functional teams for impactful solutionsAmbition to apply complex data science techniques in real-world applications

Key skills

Statistical analysis and data modelingProficiency in Python and SQLExperience with BI tools for data presentationStrong communication skills for presenting analyses
Score: 80/100 AI verified analysis

About the job

Who we are:

We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.

Our culture:

  • We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we maintain a remote-first work culture. #WorkFromAnywhere

  • We hire talented, self-motivated individuals with extreme ownership and high growth orientation.

  • We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.

Location:

  • Remote - Mumbai, India

  • From Home / Beach / Mountain / Cafe / Anywhere!

  • We are a remote-first company with a globally distributed team. You can find your productive zone and work from there.

About the Role

We’re looking for a data-driven professional to help us measure, understand, and improve the performance of our risk strategies. In this role, you’ll analyze complex datasets, design metrics, build dashboards, and collaborate closely with stakeholders across the business to drive decision-making and optimize outcomes.

What you'll be doing

  • Develop and track key metrics to evaluate the effectiveness of risk strategies and operational performance.

  • Conduct deep-dive analyses to uncover insights that drive improved decision-making and reduce exposure to fraud.

  • Build and experiment with ML models to identify fraudulent patterns and enhance fraud detection capabilities.

  • Partner with engineers to ensure accurate and scalable data instrumentation.

  • Build and maintain self-serve dashboards and reporting tools using modern BI platforms.

  • Translate business needs into analytical approaches in collaboration with cross-functional teams (e.g. Engineering, Business, Operations).

  • Contribute to the design and evaluation of risk mitigation initiatives, ensuring they align with broader business objectives.

What you'll bring

  • 5+ years of experience in a data-focused role (analytics, data science, or similar), with a track record of high-impact work

  • Strong SQL and Python skills

  • Hands-on experience with BI tools like Tableau, Sigma, or Metabase

  • Exposure to building ML models to address business challenges

  • Background in the fraud, risk, or compliance domain is a strong plus

  • Proven ability to perform exploratory data analysis and cohort analysis, and translate findings into clear recommendations

  • Strong communication skills and comfort presenting insights to technical and non-technical stakeholders

  • A bias toward action, strong critical thinking, and a pragmatic approach to problem-solving


Compensation: 34,00,000 - 50,00,000 INR Annually

The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range.

Benefits we offer:

  • Generous compensation in cash and equity

  • Early exercise for all options, including pre-vested

  • Work from anywhere: Remote-first Culture

  • Flexible paid time off, Year-end break, Self care days off

  • Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific

  • 4% matching in 401k / RRSP - US and Canada specific

  • MacBook Pro delivered to your door

  • One-time stipend to set up a home office — desk, chair, screen, etc.

  • Monthly meal stipend

  • Monthly social meet-up stipend

  • Annual health and wellness stipend

  • Annual Learning stipend

  • Unlimited access to an expert financial advisory

Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you.

To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our Applicant and Worker Privacy Notice.

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