Home › Companies › Zageno › Senior Data Scientist
Senior Data Scientist
Zageno · Bangalore, Karnataka, 560037, India · Hybrid · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Zageno |
| Title | Senior Data Scientist |
| Normalized title | - |
| Department / team | Merchandising |
| Location | Bangalore, Karnataka |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-05-08 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-22 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Zageno. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Bangalore. | Open |
| Department jobs | Active postings in Merchandising. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Zageno |
| Source | f88c2f6c-c2f4-4aa7-af57-2496a7641b16 |
| ATS provider | BambooHR |
Description
About the Company
ZAGENO offers the largest life sciences lab supply marketplace. Our one-stop shop helps scientists, lab managers, and procurement leaders compare products, source alternatives, track deliveries, and communicate order statuses in real time, accelerating innovation by saving valuable time. Leveraging advanced AI, ZAGENO enhances supply chain resilience and makes the customer experience superior, seamlessly integrating with existing systems to boost productivity and make online shopping for research materials convenient, efficient, and reliable. We are committed to innovation, excellence, and fostering a supportive, and dynamic work environment.
About the Role
We are looking for a Data Scientist to help evolve Analytics into a decision-driving business intelligence capability.
This role sits at the intersection of business strategy, analytics, experimentation, and machine learning. The ideal candidate is someone who can translate ambiguous business problems into analytical solutions, while balancing business impact, scalability, and technical rigor.
You will work closely with Business, Product, and Engineering teams to build decision-focused models and scalable analytical capabilities across pricing, shipping, conversion optimization, supplier intelligence, and operational automation.
Key Responsibilities
Business Problem Solving
Translate ambiguous business questions into structured analytical problems
Partner with business stakeholders to identify high-impact opportunities
Frame problems using data, experimentation, and measurable business outcomes
Decision-Focused Modeling
Build models and analytical systems for pricing, forecasting, optimization, ranking, and operational automation
Design solutions using the right level of complexity for the business context
Balance interpretability, maintainability, and performance when selecting approaches
Experimentation & Evaluation
Define evaluation frameworks using both technical metrics and business impact
Design and analyze experiments to validate hypotheses and measure effectiveness
Monitor model performance, coverage, and operational impact in productio n
Scalable Analytics & AI
Build reusable analytical capabilities instead of one-off analyses
Collaborate with Data Analysts and Engineers to productionize scalable solutions
Demonstrate awareness of model deployment, monitoring, and operational considerations in production environments
Contribute to the evolution of data models, feature logic, and analytical standards
Cross-functional Collaboration
Work closely with Product, Engineering, and Analytics teams to operationalize insights
Communicate findings clearly to both technical and non-technical stakeholders
Drive alignment across teams on metrics, assumptions, and decision logic
About You
Required:
5-8 years of experience in Data Science, Applied ML, Decision Science, or Advanced Analytics
Strong proficiency in Python, ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) and SQL
Experience working with large datasets using SQL and distributed computing tools (e.g., Spark)
Experience working with experimentation, predictive modeling, optimization, or recommendation systems
Strong understanding of statistics, model evaluation, and trade-offs between model complexity and interpretability
Ability to communicate analytical concepts clearly to business stakeholders
Experience working in ambiguous, fast-moving environments
Preferred:
Experience in B2B marketplaces, eCommerce, pricing, supply chain, or operations analytics
Experience with Databricks, Spark, or large-scale data environments
Exposure to ranking systems, forecasting, optimization, or agentic AI workflows
Experience designing reusable analytical frameworks and production-oriented ML systems
What success looks like:
Business problems are translated into measurable analytical solutions
Models and insights directly influence business decisions and outcomes
Analytical capabilities become more reusable and scalable over time
Experiments and models are evaluated on business impact and technical accuracy
Analytics becomes more proactive, decision-oriented, and direct revenue driver
Our benefits:
Working for a mission-driven business with a meaningful challenge with a positive impact on the scientific community
A clear growth perspective
A learning and development budget to enable your ambitions to grow professionally in your field
A professional and dynamic team with a global vision and mindset
An exciting, international working environment - we have more than 40 nationalities!
We’ve got your health benefits (medical, dental, and vision)
Hybrid Work with 3 days work from office in our Marathahalli, Bangalore office
Staying healthy and fit is essential - we cover a part of your gym membership!
Holidays and flexible PTO
Paid family leave
A budget to improve your home office environment
Full job record
| Job ID | 9836465b92d819fd2d9a7c5d0f0b1422a072116b |
| Org ID | 6d078bef-469c-458b-b899-e644cedddbf3 |
| Source ID | f88c2f6c-c2f4-4aa7-af57-2496a7641b16 |
| Board ID | f88c2f6c-c2f4-4aa7-af57-2496a7641b16 |
| Provider | bamboohr |
| Provider Job Key | 95 |
| Title | Senior Data Scientist |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Bangalore, Karnataka, 560037, India |
| Department | Merchandising |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | — |
| Region | Karnataka |
| City | Bangalore |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://zageno.bamboohr.com/careers/95 |
| Apply URL | https://zageno.bamboohr.com/careers/95 |
| First Seen At | 2026-05-30 06:11:19Z |
| Last Seen At | 2026-06-22 11:03:53Z |
| Last Checked At | 2026-06-22 11:03:53Z |
| Last Changed At | 2026-05-30 06:11:19Z |
| Inactive At | — |
| Source Posted At | 2026-05-08 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=zageno/date=2026-06-22/2026-06-22T11-03-51-713Z-faebc865399d5387e29ceb8bfc92f119cf625a40b4bc6da5eac1e97271630fc2.json |
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"description": "<p><span style=\"text-decoration: underline\"><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">About the Company</span></span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">ZAGENO offers the largest life sciences lab supply marketplace. Our one-stop shop helps scientists, lab managers, and procurement leaders compare products, source alternatives, track deliveries, and communicate order statuses in real time, accelerating innovation by saving valuable time. Leveraging advanced AI, ZAGENO enhances supply chain resilience and makes the customer experience superior, seamlessly integrating with existing systems to boost productivity and make online shopping for research materials convenient, efficient, and reliable. We are committed to innovation, excellence, and fostering a supportive, and dynamic work environment. </span></p>\n<p><br><br></p>\n<p><span style=\"text-decoration: underline\"><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">About the Role </span></span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">We are looking for a Data Scientist to help evolve Analytics into a decision-driving business intelligence capability.<br><br></span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">This role sits at the intersection of business strategy, analytics, experimentation, and machine learning. The ideal candidate is someone who can translate ambiguous business problems into analytical solutions, while balancing business impact, scalability, and technical rigor.</span></p>\n<p><br><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">You will work closely with Business, Product, and Engineering teams to build decision-focused models and scalable analytical capabilities across </span><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">pricing, shipping, conversion optimization, supplier intelligence, and operational automation. </span></p>\n<p><br><br></p>\n<p><span style=\"text-decoration: underline\"><span style=\"font-weight: bold\">Key Responsibilities </span></span></p>\n<p><span style=\"text-decoration: underline\"><br></span><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Business Problem Solving</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Translate ambiguous business questions into structured analytical problems</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Partner with business stakeholders to identify high-impact opportunities</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Frame problems using data, experimentation, and measurable business outcomes</span><br><br></li>\n</ul>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Decision-Focused Modeling</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Build models and analytical systems for pricing, forecasting, optimization, ranking, and operational automation</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Design solutions using the right level of complexity for the business context</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Balance interpretability, maintainability, and performance when selecting approaches</span><br><br></li>\n</ul>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Experimentation & Evaluation</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Define evaluation frameworks using both technical metrics and business impact</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Design and analyze experiments to validate hypotheses and measure effectiveness</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Monitor model performance, coverage, and operational impact in productio</span><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">n</span><br><br></li>\n</ul>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Scalable Analytics & AI</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Build reusable analytical capabilities instead of one-off analyses</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Collaborate with Data Analysts and Engineers to productionize scalable solutions</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Demonstrate awareness of model deployment, monitoring, and operational considerations in production environments</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Contribute to the evolution of data models, feature logic, and analytical standards</span><br><br></li>\n</ul>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Cross-functional Collaboration</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Work closely with Product, Engineering, and Analytics teams to operationalize insights</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Communicate findings clearly to both technical and non-technical stakeholders</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Drive alignment across teams on metrics, assumptions, and decision logic<br><br></span><br></li>\n</ul>\n<p><span style=\"text-decoration: underline\"><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">About You </span></span></p>\n<p><span style=\"text-decoration: underline\"><br></span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Required:</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">5-8 years of experience in Data Science, Applied ML, Decision Science, or Advanced Analytics</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Strong proficiency in Python, ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) and SQL</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Experience working with large datasets using SQL and distributed computing tools (e.g., Spark)</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Experience working with experimentation, predictive modeling, optimization, or recommendation systems</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Strong understanding of statistics, model evaluation, and trade-offs between model complexity and interpretability</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Ability to communicate analytical concepts clearly to business stakeholders</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Experience working in ambiguous, fast-moving environments<br><br></span></li>\n</ul>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Preferred:</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Experience in B2B marketplaces, eCommerce, pricing, supply chain, or operations analytics</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Experience with Databricks, Spark, or large-scale data environments</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Exposure to ranking systems, forecasting, optimization, or agentic AI workflows</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Experience designing reusable analytical frameworks and production-oriented ML systems<br><br></span></li>\n</ul>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">What success looks like:</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Business problems are translated into measurable analytical solutions</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Models and insights directly influence business decisions and outcomes</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Analytical capabilities become more reusable and scalable over time</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Experiments and models are evaluated on business impact and technical accuracy</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Analytics becomes more proactive, decision-oriented, and direct revenue driver<br><br></span></li>\n</ul>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Our benefits:</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">Working for a mission-driven business with a meaningful challenge with a positive impact on the scientific community</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">A clear growth perspective</span></li>\n</ul>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">A learning and development budget to enable your ambitions to grow professionally in your field</span></li>\n</ul>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">A professional and dynamic team with a global vision and mindset</span></li>\n</ul>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">An exciting, international working environment - we have more than 40 nationalities!</span></li>\n</ul>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 12pt\">We’ve got your health benefits (medical, dental, and vision) </span></li>\n</ul>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; 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