Moumita Bhattacharya
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Moumita Bhattacharya Email & Phone Number

Senior Research Scientist | Netflix Research (Recommendation and Search Algorithms) at Netflix
Location: San Francisco Bay Area, United States, United States 10 work roles 2 schools
1 work email found @netflix.com 3 phones found area 732 and 302 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 3 phones

Work email m****@netflix.com
Direct phone (732) ***-****
LinkedIn Profile matched
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Current company
Role
Senior Research Scientist | Netflix Research (Recommendation and Search Algorithms)
Location
San Francisco Bay Area, United States, United States

Who is Moumita Bhattacharya? Overview

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Quick answer

Moumita Bhattacharya is listed as Senior Research Scientist | Netflix Research (Recommendation and Search Algorithms) at Netflix, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at netflix.com, phone signal with area code 732, 302, and a matched LinkedIn profile for Moumita Bhattacharya.

Moumita Bhattacharya previously worked as Senior Research Scientist at Netflix and Senior Research Scientist (Recommendation and Search Algorithms) at Netflix. Moumita Bhattacharya holds Phd Candidate, Computer And Information Sciences from University Of Delaware.

Company email context

Email format at Netflix

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{first_initial}{last}@netflix.com
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AeroLeads found 1 current-domain work email signal for Moumita Bhattacharya. Compare company email patterns before reaching out.

Profile bio

About Moumita Bhattacharya

I have been working in the fields of machine learning and software engineering for over 14 years, which includes industry experience and my work during PhD, during which I focused on machine learning and its application. Over the last many years I. have been working on developing large scale recommender systems and search algorithms for Netflix production systems while collaborating with cross function teams across the company including product, infrastructure team and content creation teams. Prior experience in building and leading recommender systems for Etsy.https://sites.google.com/udel.edu/moumitabhattacharya/SPECIALITIES: Machine Learning, Deep Learning, Big Data, Scala, Tensorflow, Python

Listed skills include Machine Learning, Java, Python, Sql, and 38 others.

Current workplace

Moumita Bhattacharya's current company

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Netflix
Netflix
Senior Research Scientist | Netflix Research (Recommendation and Search Algorithms)
AeroLeads page
10 roles

Moumita Bhattacharya work experience

A career timeline built from the work history available for this profile.

Senior Research Scientist

Current

Los Gatos, CA, US

Oct 2020 - Present

Senior Research Scientist (Recommendation And Search Algorithms)

Current

Los Gatos, CA, US

Oct 2020 - Present

Senior Applied Scientist Ii (Tech Lead, Recommendation Systems)

Brooklyn, NY, US

Tech lead the recommender system team at Etsy, driving more than 15 A/B test wins yielding $$ GMV wins and several secondary metric lifts. Worked on the developing the first deep neural network model for second pass ranker at Etsy, developed a novel candidate set for item to item recommendations, developed several contextual item-to-item as well as.

Mar 2020 - Oct 2020

Tech Lead, Recommender Systems

Brooklyn, NY, US

Nov 2019 - Oct 2020

Senior Applied Scientist I

Brooklyn, NY, US

Jan 2019 - Nov 2019

Machine Learning Phd Candidate, Research Assistant (Doctoral Fellow)

Newark, DE, US

  • Project: Disease prediction and patient risk-stratification, in collaboration with nephrologists and pediatricians from the largest hospital in Delaware (funded by NIGMS and NIH Grant)
  • Developed a meta-classification based approach that addresses the challenge of data imbalance to identify risk of chronic kidney disease severity-levels, achieving >92% precision and recall
  • Developed a topic model based approach for identifying co-occurring medical conditions; uncovered indirect associations among conditions previously not reported as correlated in the medical literature
  • Developed a hidden Markov model from repeated unaligned time-series for hospitalization prediction
  • Developed EM-based clustering method to identify latent growth-patterns to predict childhood obesity Project: Identifying risk of a genetic heart condition, in collaboration with cardiologists from Johns Hopkins School.
  • Developed a sampling based approach that addresses data imbalance to identify risk of sudden cardiac death among heart patients, obtaining significantly higher performance than current state-of-the-art
Feb 2016 - Jan 2019

Phd Intern, Applied Statistics And Computational Modeling

Richland, WA, US

  • PhD Intern in the Applied Statistics and Computational Modeling Group at Pacific Northwest National Laboratory(PNNL)
  • Proposed a conditional logistic regression using L1 penalty method and a recursive feature selection method to identify biomarkers informative of Type 1 Diabetes, from a case-control datasetTechnologies: Python, R
May 2017 - Aug 2017

Technology Analyst Program, Software Engineer

Charlotte, NC, US

  • Software Developer (Technology Analyst Program), Bank of America (BoA), Merrill Lynch Technologies: C#, AngularJS, JavaScript, ASP.NET, JQuery, MVC
  • Architected and developed web applications for BoA wealth managers for portfolio rebalancing
  • Presented to senior leadership a recommendation on user permissions for managed advisory accounts
Feb 2015 - Feb 2016

Summer Analyst Program

Charlotte, NC, US

  • Technologies: C#, AngularJS, JavaScript, ASP.NET, JQuery, MVC
  • Built a web application for vacation tracking and a build-statistics dashboard for release management
May 2014 - Aug 2014

System Engineer

Mumbai, Maharashtra, IN

  • Technologies: JAVA, J2EE Technologies (CSS), JavaScript
  • Developed functional and technical specs, production code and unit tests, for a major insurance client
  • Led production support team (troubleshooting to fixing bugs within a strict time frame of 4 hours)
Mar 2010 - May 2012
2 education records

Moumita Bhattacharya education

Phd Candidate, Computer And Information Sciences

University Of Delaware

Master'S Degree, Computer And Information Sciences, General

University Of Delaware
FAQ

Frequently asked questions about Moumita Bhattacharya

Quick answers generated from the profile data available on this page.

What company does Moumita Bhattacharya work for?

Moumita Bhattacharya works for Netflix.

What is Moumita Bhattacharya's role at Netflix?

Moumita Bhattacharya is listed as Senior Research Scientist | Netflix Research (Recommendation and Search Algorithms) at Netflix.

What is Moumita Bhattacharya's email address?

AeroLeads has found 1 work email signal at @netflix.com for Moumita Bhattacharya at Netflix.

What is Moumita Bhattacharya's phone number?

AeroLeads has found 3 phone signal(s) with area code 732, 302 for Moumita Bhattacharya at Netflix.

Where is Moumita Bhattacharya based?

Moumita Bhattacharya is based in San Francisco Bay Area, United States, United States while working with Netflix.

What companies has Moumita Bhattacharya worked for?

Moumita Bhattacharya has worked for Netflix, Etsy, University Of Delaware, Pacific Northwest National Laboratory - Pnnl, and Bank Of America Merrill Lynch.

How can I contact Moumita Bhattacharya?

You can use AeroLeads to view verified contact signals for Moumita Bhattacharya at Netflix, including work email, phone, and LinkedIn data when available.

What schools did Moumita Bhattacharya attend?

Moumita Bhattacharya holds Phd Candidate, Computer And Information Sciences from University Of Delaware.

What skills is Moumita Bhattacharya known for?

Moumita Bhattacharya is listed with skills including Machine Learning, Java, Python, Sql, C, C++, Oracle, and Javascript.

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