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Data Science Jobs in Mumbai

Explore top Data Science Job opportunities in Mumbai for Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.

Sr. Manager Analytics
at Square Pandaat Square Panda

Founded 2014
Products and services{{j_company_types[3 - 1]}}
100-1000 employees
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Mumbai
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6 - 8 years
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Best in industry{{renderSalaryString({min: 1200000, max: 1500000, duration: "undefined", currency: "INR", equity: false})}}

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Luisa Fernandes
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Data Scientist (Kofax Accredited Developers)
at A global business process management companyat A global business process management company

Founded 2020
Products and services{{j_company_types[3 - 1]}}
10-50 employees
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Pune, Bengaluru (Bangalore), Chennai, Mumbai, Gurugram, Nashik
Experience icon
5 - 10 years
Salary icon
Best in industry{{renderSalaryString({min: 2000000, max: 2200000, duration: "undefined", currency: "INR", equity: false})}}

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Data Scientist
at at The creator economy with local production. ( GE1)
at

Founded 2013
Products and services{{j_company_types[2 - 1]}}
10-50 employees
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Bengaluru (Bangalore), Mumbai, Delhi
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5 - 8 years
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Best in industry{{renderSalaryString({min: 3000000, max: 4000000, duration: "undefined", currency: "INR", equity: false})}}

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Ashwini Miniyar
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Data Scientist
at at Healthcare IT company in Navi Mumbai
at

Founded 2020
Products and services{{j_company_types[2 - 1]}}
0-10 employees
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via Credos
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Navi Mumbai, Mumbai
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9 - 12 years
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Best in industry{{renderSalaryString({min: 2000000, max: 2500000, duration: "undefined", currency: "INR", equity: false})}}

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Data Scientist
at BigLittle Innovations Pvt Ltdat BigLittle Innovations Pvt Ltd

Founded 2019
Products and services{{j_company_types[1 - 1]}}
20-100 employees
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Remote, Mumbai, Delhi, Gurugram, Noida, Ghaziabad, Faridabad, Bengaluru (Bangalore)
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3 - 5 years
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Best in industry{{renderSalaryString({min: 400000, max: 1500000, duration: "undefined", currency: "INR", equity: false})}}

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Data Scientist
at CarWaleat CarWale

Founded
Products and services{{j_company_types[ - 1]}}
20-100 employees
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Navi Mumbai, Mumbai
Experience icon
3 - 5 years
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Best in industry{{renderSalaryString({min: 1000000, max: 1500000, duration: "undefined", currency: "INR", equity: false})}}

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Data Scientist
at at ITES
at

Founded
Products and services{{j_company_types[ - 1]}}
20-100 employees
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Remote, Pune, Bengaluru (Bangalore), Mumbai, Noida, Hyderabad, NCR (Delhi | Gurgaon | Noida)
Experience icon
2 - 6 years
Salary icon
Best in industry{{renderSalaryString({min: 500000, max: 700000, duration: "undefined", currency: "INR", equity: false})}}

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Sr Data Scientist [India]
at Egnyteat Egnyte

Founded 2008
Products and services{{j_company_types[1 - 1]}}
500-1000 employees
{{j_company_stages[3 - 1]}}
via Egnyte
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Remote, Mumbai
Experience icon
4 - 10 years
Salary icon
Best in industryBest in industry

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Prasanth Mulleti
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Data Scientist
at Ganit Business Solutionsat Ganit Business Solutions

Founded 2017
Products and services{{j_company_types[3 - 1]}}
100-1000 employees
{{j_company_stages[1 - 1]}}
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Remote, Chennai, Bengaluru (Bangalore), Mumbai
Experience icon
3 - 7 years
Salary icon
Best in industry{{renderSalaryString({min: 1200000, max: 2500000, duration: "undefined", currency: "INR", equity: false})}}

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Viswanath Subramanian
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Data Scientist
at at Innovative Brand Design Studio
at

Founded 2015
Products and services{{j_company_types[2 - 1]}}
10-50 employees
{{j_company_stages[3 - 1]}}
via Unnati
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Location icon
Mumbai
Experience icon
2 - 5 years
Salary icon
Best in industry{{renderSalaryString({min: 800000, max: 1500000, duration: "undefined", currency: "INR", equity: false})}}

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Astha Bharadwaj
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Data Scientist
at Railofyat Railofy

Founded 2018
Products and services{{j_company_types[1 - 1]}}
20-100 employees
{{j_company_stages[2 - 1]}}
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Mumbai
Experience icon
2 - 5 years
Salary icon
Best in industry{{renderSalaryString({min: 500000, max: 1200000, duration: "undefined", currency: "INR", equity: false})}}

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Data Scientist
at upGradat upGrad

Founded 2015
Products and services{{j_company_types[1 - 1]}}
100-500 employees
{{j_company_stages[2 - 1]}}
via upGrad
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Bengaluru (Bangalore), Mumbai
Experience icon
4 - 6 years
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Best in industry{{renderSalaryString({min: 1000000, max: 2100000, duration: "undefined", currency: "INR", equity: false})}}

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Priyanka Muralidharan
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Senior Graph Data Scientist
at PayUat PayU
at PayU

Founded 2002
Products and services{{j_company_types[1 - 1]}}
500-1000 employees
{{j_company_stages[3 - 1]}}
via PayU
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Remote, Mumbai, Bengaluru (Bangalore), NCR (Delhi | Gurgaon | Noida)
Experience icon
5 - 12 years
Salary icon
Best in industry{{renderSalaryString({min: 1500000, max: 3500000, duration: "undefined", currency: "INR", equity: false})}}

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Vishakha Sonde
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Data Scientist
at CRMNEXTat CRMNEXT

Founded 2001
Products and services{{j_company_types[3 - 1]}}
100-1000 employees
{{j_company_stages[3 - 1]}}
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Mumbai
Experience icon
2 - 4.6 years
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Best in industry{{renderSalaryString({min: 300000, max: 600000, duration: "undefined", currency: "INR", equity: false})}}

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Deepak Sharma
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Data Scientist
at Episource LLCat Episource LLC

Founded 2008
Products and services{{j_company_types[1 - 1]}}
500-1000 employees
{{j_company_stages[3 - 1]}}
{{rendered_skills_map[skill] || skill}}
Location icon
Mumbai
Experience icon
4 - 8 years
Salary icon
Best in industry{{renderSalaryString({min: 1200000, max: 2000000, duration: "undefined", currency: "INR", equity: false})}}

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Fullstack Developer
at eparchiat eparchi

Founded 2019
Products and services{{j_company_types[3 - 1]}}
0-20 employees
{{j_company_stages[1 - 1]}}
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Remote, Raipur, Bengaluru (Bangalore), Mumbai
Experience icon
1 - 8 years
Salary icon
Best in industry{{renderSalaryString({min: 800000, max: 1200000, duration: "undefined", currency: "INR", equity: false})}}

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Decision Science Analyst
at Quantiphi Inc.at Quantiphi Inc.

Founded 2012
Products and services{{j_company_types[3 - 1]}}
100-1000 employees
{{j_company_stages[1 - 1]}}
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Mumbai
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1 - 5 years
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Best in industry{{renderSalaryString({min: 300000, max: 1500000, duration: "undefined", currency: "INR", equity: false})}}

About us: Quantiphi is a category defining Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design. AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries. Please Find Attached fact sheet for your reference. For more details visit: www.quantiphi.com ; www.athenasowl.tv Job Description: -Developing high-level solution architecture related to different use-cases in the media industry -Leveraging both structured and unstructured data from external sources and our proprietary AI/ML models to build solutions and workflows that can be used to give data driven insights. -Develop sophisticated yet easy to digest interpretations and communicate insights to clients that lead to quantifiable business impact. -Building deep relationship with clients by understanding their stated but more importantly, latent needs. -Working closely with the client-side delivery managers to ensure a seamless communication and delivery cadence. Essential Skills and Qualifications: -Hands-on experience with statistical tools and techniques in Python -Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis. -Advanced knowledge of supervised and unsupervised machine learning algorithms like Random Forest, Boosting, SVM, Neural Networks, Collaborative filtering etc. -Ability to think creatively and work well both as part of a team and as an individual contributor -Critical eye for the quality of data and strong desire to get it right -Strong communication skills. -Should be able to read a paper and quickly implement ideas from scratch. -A pleasantly forceful personality and charismatic communication style.

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Associate Product Manager
at Truebil.comat Truebil.com

Founded 2015
Products and services{{j_company_types[3 - 1]}}
100-1000 employees
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Location icon
Mumbai
Experience icon
1 - 2 years
Salary icon
Best in industry{{renderSalaryString({min: 1200000, max: 1800000, duration: "undefined", currency: "INR", equity: false})}}

Associate Product Manager at Truebil As an Associate Product Manager at Truebil, you will assist in driving the product planning and conceptual definition, as well as the technical execution of the product from beginning to end. You should be keen for building and constantly improving the product using industry experience and feedback from customers. You possess a unique blend of business and technical savvy. You will work with the Technology team to define product release requirements. Your work will guide the Sales and Operations team as well as the marketing team to define the go-to-market strategy, helping them understand the product positioning, key benefits, and target customer. Key Responsibilities: • Assist product delivery - from the smallest bug fix to a feature release and hence in managing the whole product life cycle • Help define innovative yet simple and intuitive products • Act as liaison between business and technology teams and oversee the day-to-day analysis of all product related initiatives to make recommendations to optimize product's functioning to drive business and enhance customer experience • Leverage analytics data and conversion metrics to identify & resolve pain points in user flow • Close involvement in documentation, validation, verification of critical performance data, feedback and findings related to the customer buying funnel Requirements : • Product management or relevant work experience • Experience managing the entire product lifecycle • High-level conceptual thinking about product / user problems • Should be very comfortable with SQL and data analytics and an inclination for numbers with a keen eye for business metric • Experience designing simple and intuitive user interfaces through wireframes and mockups • Strong time management and prioritization skills • Good communication skills along with the ability to effectively collaborate with cross functional teams • Ability to articulate and defend product priorities and strategy for impact • Experience with Product Discovery, Design Thinking, Lean Product a plus • Experience as a designer, developer, data analyst or user researcher a plus

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Android Developer
at X Billion Labsat X Billion Labs

Founded 2015
Products and services{{j_company_types[2 - 1]}}
20-100 employees
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Location icon
Mumbai
Experience icon
1 - 3 years
Salary icon
Best in industry{{renderSalaryString({min: 200000, max: 400000, duration: "undefined", currency: "INR", equity: false})}}

Join a growing team to build a product that uses data in imaginative ways

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Senior Data Scientist
at Paysenseat Paysense

Founded 2015
Products and services{{j_company_types[1 - 1]}}
100-500 employees
{{j_company_stages[2 - 1]}}
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Location icon
NCR (Delhi | Gurgaon | Noida), Mumbai
Experience icon
2 - 7 years
Salary icon
Best in industry{{renderSalaryString({min: 1000000, max: 3000000, duration: "undefined", currency: "INR", equity: false})}}

About the job: - You will architect, code and deploy ML models (from scratch) to predict credit risk. - You will design, run, and analyze A/B and multivariate tests to test hypotheses aimed at optimizing user experience and portfolio risk. - You will perform data exploration and build statistical models on user behavior to discover opportunities for decreasing user defaults. And you must truly be excited about this part. - You’ll use behavioral and social data to gain insights into how humans make financial choices - You will spend a lot of time in building out predictive features from super sparse data sources. - You’ll continually acquire new data sources to develop a rich dataset that characterizes risk. - You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice. About you: - You’ve strong computer science fundamentals - You’ve strong understanding of ML algorithms - Ideally, you have 2+ years of experience in using ML in industry environment - You know how to run tests and understand their results from a statistical perspective - You love freedom and hate being micromanaged. You own products end to end - You have a strong desire to learn and use the latest machine learning algorithms - It will be great if you have one of the following to share - a kaggle or a github profile - Degree in statistics/quant/engineering from Tier-1 institutes.

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Senior Backend Developer
at Paysenseat Paysense

Founded 2015
Products and services{{j_company_types[1 - 1]}}
100-500 employees
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Location icon
Mumbai, NCR (Delhi | Gurgaon | Noida)
Experience icon
2 - 6 years
Salary icon
Best in industry{{renderSalaryString({min: 1200000, max: 3000000, duration: "undefined", currency: "INR", equity: false})}}

About Us:Paysense is Nexus and Jungle funded startup focussed on improving the financial lives of the indian consumer. In an exclusive partnership with India Infoline (IIFL ~$600 mn networth), we are reinventing credit and access to it for the next billion Indian consumers. Traditional banks and lending institutions in India are serving less than 5% of all credit requirements. Primary sources of data on consumer spend and credit behaviour either do not exist, or, are fundamentally broken. We saw this as a challenging opportunity to build out large scale credit system from scratch. Our team comprises of engineers, data scientists and product leaders from Stanford, IIT and UCLA; and we are looking for mission driven team mates who are ambitious, work hard, are super smart and yet humble. If this sounds like you, we’d love to have a chat.About the job:- Backend development at Paysense means writing web systems that receive and process millions of requests per minute. - You will write code that stores and analyzes large scale data in milliseconds: architect and develop data processing and warehouse systems- Develop internal and external platform that powers next generation of credit lending systems- Design tech to build graph/network connecting users- Write systems that are integrated with all leading banks, bureaus and financial institutions.About you:- 2+ years of experience with one of the following is must: Python/Java/nodeJS.- Strong experience with Postgres or another SQL RDBMS.- Working knowledge of AWS or other cloud service.- Experience working in finance domain is a plus.- Experience with Python, Django, or data science toolkits (pandas, scikit, sparkML) is a plus.- Strong CS fundamentals - algorithms, database and systems design.- Degree in CS/Maths from tier-1 engineering institutes.

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Data Scientist
at Monexo FinTech (P) Ltdat Monexo FinTech (P) Ltd

Founded 2016
Products and services{{j_company_types[3 - 1]}}
20-100 employees
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Mumbai, Chennai
Experience icon
1 - 3 years
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Best in industry{{renderSalaryString({min: 300000, max: 500000, duration: "undefined", currency: "INR", equity: false})}}

The Candidate should be have: - good understanding of Statistical concepts - worked on Data Analysis and Model building for 1 year - ability to implement Data warehouse and Visualisation tools (IBM, Amazon or Tableau) - use of ETL tools - understanding of scoring models The candidate will be required: - to build models for approval or rejection of loans - build various reports (standard for monthly reporting) to optimise business - implement datawarehosue The candidate should be self-starter as well as work without supervision. You will be the 1st and only employee for this role for the next 6 months.

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Data Scientist
at Bewakoof.comat Bewakoof.com

Founded 2011
Products and services{{j_company_types[1 - 1]}}
500-1000 employees
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Location icon
Mumbai
Experience icon
1 - 2 years
Salary icon
Best in industry{{renderSalaryString({min: 800000, max: 1200000, duration: "undefined", currency: "INR", equity: false})}}

1 to 3 years of experience in product analytics - Highly conversant with Google Analytics and other similar tools - Basic programming ability(preferably R or Python)

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Data Scientist
at GEP Worldwideat GEP Worldwide

Founded 1999
Products and services{{j_company_types[3 - 1]}}
100-1000 employees
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Location icon
Navi Mumbai, Hyderabad
Experience icon
3 - 7 years
Salary icon
Best in industry{{renderSalaryString({min: 200000, max: 500000, duration: "undefined", currency: "INR", equity: false})}}

Primary Skills : - B.Tech/MS/PhD degree in Computer Science, Computer Engineering or related technical discipline with 3-4 years of industry experience in Data Science. - Proven experience of working on unstructured and textual data. Deep understanding and expertise of NLP techniques (POS tagging, NER, Semantic role labelling etc). - Experience working with some of the supervised/unsupervised learning ML models such as linear/logistic regression, clustering, support vector machines (SVM), neural networks, Random Forest, CRF, Bayesian models etc. The ideal candidate will have a wide coverage of the different methods/models, and an in depth knowledge of some. - Strong coding experience in Python, R and Apache Spark. Python Skills are mandatory. - Experience with NoSQL databases, such as MongoDB, Cassandra, HBase etc. - Experience of working with Elastic search is a plus. - Experience of working on Microsoft Azure is a plus although not mandatory. - Basic knowledge of Linux and related scripting like Bash/shell script. Role Description (Roles & Responsibilities) : - Candidate will research, design and implement state-of-the-art ML systems using predictive modelling, deep learning, natural language processing and other ML techniques to help meeting business objectives. - Candidate will work closely with the product development/Engineering team to develop solutions for complex business problems or product features. - Handle Big Data scale for training and deploying ML/NLP based business modules/chatbots.

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