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HomeCompaniesZagenoSenior Data Scientist

Senior Data Scientist

Zageno · Bangalore, Karnataka, 560037, India · Hybrid · Active · BambooHR

Job facts

FieldValue
CompanyZageno
TitleSenior Data Scientist
Normalized title-
Department / teamMerchandising
LocationBangalore, Karnataka
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-05-08 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-22

Related slices

PageWhat it containsOpen
Company jobsActive postings from Zageno.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Bangalore.Open
Department jobsActive postings in Merchandising.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyZageno
Sourcef88c2f6c-c2f4-4aa7-af57-2496a7641b16
ATS providerBambooHR

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 ID9836465b92d819fd2d9a7c5d0f0b1422a072116b
Org ID6d078bef-469c-458b-b899-e644cedddbf3
Source IDf88c2f6c-c2f4-4aa7-af57-2496a7641b16
Board IDf88c2f6c-c2f4-4aa7-af57-2496a7641b16
Providerbamboohr
Provider Job Key95
TitleSenior Data Scientist
Normalized Title
Statusactive
Activeyes
Location TextBangalore, Karnataka, 560037, India
DepartmentMerchandising
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
Country
RegionKarnataka
CityBangalore
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://zageno.bamboohr.com/careers/95
Apply URLhttps://zageno.bamboohr.com/careers/95
First Seen At2026-05-30 06:11:19Z
Last Seen At2026-06-22 11:03:53Z
Last Checked At2026-06-22 11:03:53Z
Last Changed At2026-05-30 06:11:19Z
Inactive At
Source Posted At2026-05-08 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=zageno/date=2026-06-22/2026-06-22T11-03-51-713Z-faebc865399d5387e29ceb8bfc92f119cf625a40b4bc6da5eac1e97271630fc2.json
Event Fields
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Extensions
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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 &amp; 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 &amp; 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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