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Data Science Jobs in Bangalore (Bengaluru)

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

Data science and Algorithms Lead
Data science and Algorithms Lead

Founded 2018
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Bengaluru (Bangalore)
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4 - 8 years
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Best in industry30 - 40 lacs/annum

Company Overview Akridata is a US based early stage startup working in the area of providing data processing and data management solutions for certain edge to data center pipelines related to AI workloads catering to use cases generating data in the order of 100TB per day. We are a VC funded startup incorporated in May 2018 with all SW engineering done from the Bangalore center thus providing ample opportunities for ‘from-scratch’ design and development. Role We are in the process of setting up a “data science and algorithms” team and this role is for a lead engineer who will form the team and lead all development activities for this team. This team will develop high performance algorithms around the areas of data summarization and importance scoring on data. If you are excited with the idea of developing a data-science toolkit Vs using an existing toolkit, then this role would be an ideal match. What we are looking for Master’s degree with a background in statistics and computer science. Good foundation on theory around advanced linear algebra. Hands-on programming experience with Python in area of data science 4+ years of experience working with data science activities involving building models for analysing large amounts of data. Experience with publishing academic papers and/or implementing prototypes based on ongoing research ideas. Good to have Experience with developing high performance algorithms considering various system aspects like memory consumption, CPU utilization, synchronization overheads, communication overheads etc. Understanding of GPU architecture and experience implementing algorithms on GPUs. Experience leading a team of 2-3 data science engineers.

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Data Scientist
Data Scientist

Founded 2018
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Bengaluru (Bangalore)
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2 - 5 years
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Best in industry6 - 10 lacs/annum

Data Scientist Job Profile:   We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.   Responsibilities for Data Scientist: Data mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Develop company A/B testing framework and test model quality. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy.   Qualifications for Data Scientist Masters in Statistics , Econometric Statistics . Strong problem-solving skills with an emphasis on product development. Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets and experience working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. We’re looking for someone with 3-5 years of experience manipulating data sets and building statistical models, has a master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools: Coding knowledge and experience with several language C++, python, R. Experience querying databases and using statistical computer languages: R, Python, SQL, etc. Experience visualizing/presenting data for stakeholders using: BI tools.     Job Perks Free lunch Monthly team lunch,outing.

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Sr. Data Scientist
Sr. Data Scientist

Founded 2018
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Bengaluru (Bangalore)
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4 - 7 years
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Best in industry12 - 20 lacs/annum

Lead Data Scientist in a Fantasy sports company You will be working for India's fastest growing fantasy sports app, to analyze and enhance user behavior, pre-empt and prevent user drop offs, and provide strategic guidance on user behavior to Product and Retention teams. Responsibilities: 1. Analyze millions of transactions to find patterns in user spends, segment them and improve conversions 2. Design experiments in consultation with Product team, test hypotheses, build models, drive control groups and scale 3. Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance for re-engagement activities 4. Work with various stakeholders to identify their processes, and provide feedback to analyze their efficacy 5. Provide data based recommendations for new app features and modifications of existing flows and paradigms 6. Designing and developing new ML, analytical or AI algorithms for increasing 7. Lead the ownership of data and insights, and take a lead in formulating strategic initiatives Qualifications: 1. 3-5 experience working in Data Science department of a B2C company or an Analytics firm or an Analytics Consulting firm 2. Understanding of statistical modeling (Regression, Clustering, Decision trees), machine learning, algorithms, data mining concepts, and a track record of solving problems with these methods 3. Experience with Deep Learning, SVM, k-nearest neighbors, Random Forests, Ensemble Methods, Logistic Regression, Probability Theory, Bayesian/Markov networks etc. 4. Demonstrated programming skills in relevant languages, including R, Python, SQL 5. Demonstrated analytical ability, knack in figuring out patterns in raw data and good problem-solving skills 6. Great people skills, ability to work across teams, get stakeholders on board in implementing changes 7. Strong interest in Mathematics, Probability Theory, Statistics, Machine Learning and ability to apply math in real world applications

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Machine Learning Engineer
Machine Learning Engineer

Founded 2018
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Bengaluru (Bangalore)
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3 - 9 years
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Best in industry20 - 50 lacs/annum

How often have you read job descriptions and gone ‘I have read this before’ or ‘the real job description will come out during the interviews, so why bother reading this’. In other instances when job descriptions are actually well-written, ie not just copied and pasted from somewhere and try doing justice to what you’d be doing at the job, 2-4 months of a typical interview cycle make those descriptions obsolete by the time you actually start at the job. Also not unsurprising then: just like you ignore or skim through job descriptions, most recruiters do the same with your resumes – look for specific keywords and leave all the assessment for during the interview itself. Even worse: the human recruiter in some cases is being replaced by an algorithm to automate screening. You, therefore, will try to put as many keywords in your resume to ensure you get that interview call. Nobody is being ingenuine in this process but the very process is fundamentally broken. And that is exactly what we want to solve: create an effective ‘matching of work to the worker’ that is an accurate and real-time reflection of both ends, thus increasing the actual engagement with the work itself. Responsibilities In this role, you’ll build and implement novel Machine Learning and Deep Learning systems on our platform as well as help build the infrastructure to train and deploy them. Specifically, you will: - Design and implement the infrastructure required to train models at scale. - Work with the data team’s infrastructure to build real-time and offline feature databases. - Work with the data team to create the infrastructure to build and maintain the datasets from which models are created - Build the model serving systems with which we can deploy our models to production - As we grow, scale the ML system to be able to support more use cases and ML model types. Requirements - 1+ years of experience building production-ready ML models and systems. - 3+ years of building distributed systems and/or scalable backend systems and the ability to maintain such systems in production. - Strong software engineering fundamentals - understanding of data structures and algorithms, O-notation, ability to maintain a test suite and write clear maintainable code. - Familiarity with the majority of the following tools: Tensorflow, Numpy, Scipy, SparkML, pandas, scikit-learn. - Demonstrated leadership and self-direction and willingness to both teach others and learn new techniques. - Experience with big data processing and storage systems: Hadoop, Spark, Hbase, Cassandra etc. - Strong programming skills in Python. Intermediate to Advanced knowledge of SQL and ability to wrangle data from many disparate data sources - Technologies we use: MySQL, Python, AWS, Snowflake, R, and Looker, among many others.

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Backend Engineer - Data Integration/Machine Learning
Backend Engineer - Data Integration/Machine Learning

Founded 2017
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Bengaluru (Bangalore)
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3 - 7 years
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Best in industry6 - 15 lacs/annum

About Artivatic :Artivatic is technology startup that uses AI/ML/Deeplearning to build intelligent products & solutions for finance, healthcare & insurance businesses. It is based out of Bangalore with 20+ team focus on technology. Artivatic building is cutting edge solutions to enable 750 Millions plus people to get insurance, financial access and health benefits with alternative data sources to increase their productivity, efficiency, automation power and profitability, hence improving their way of doing business more intelligently & seamlessly. Artivatic offers lending underwriting, credit/insurance underwriting, fraud, prediction, personalization, recommendation, risk profiling, consumer profiling intelligence, KYC Automation & Compliance, automated decisions, monitoring, claims processing, sentiment/psychology behaviour, auto insurance claims, travel insurance, disease prediction for insurance and more. We have raised US $300K earlier and built products successfully and also done few PoCs successfully with some top enterprises in Insurance, Banking & Health sector. Currently, 4 months away from generating continuous revenue.Skills : - Building server-side logic that powers our APIs, in effect deploying machine learning models in production system that can scale to billions of API calls - Scaling and performance tuning of database to handle billions of API calls and thousands of concurrent requests - Collaborate with data science team to build effective solutions for data collection, pre-processing and integrating machine learning into the workflow - Collaborate, provide technical guidance, and engage in design and code review for other team members. - Excellent Scala, cassandara, architect, api, software, python, Java programming and software design skills, including debugging, performance analysis and test design - Proficiency with at least one Scala, GoLang, Python micro frameworks like Flask, Tornado, Play, Spring etc. with experience in building REST APIs - Experience or understanding in building web crawlers, data fetching bots etc. - Experience with design and optimisation of Neo4j, cassandra, NoSQL databases, PostGreSQL, Redis, Elastic Search - Familiarity with one of the cloud service providers, AWS or Google Compute Engine - Computer Science degree with 4+ years of backend programming experience Experience : 3 Years+ Location : Sony World Signal, Koramangala 4th Block, Bangalore

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Chief Technology Officer
Chief Technology Officer

Founded 2017
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Bengaluru (Bangalore)
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8 - 15 years
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Best in industry15 - 25 lacs/annum

About Artivatic :Artivatic is technology startup that uses AI/ML/Deeplearning to build intelligent products & solutions for finance, healthcare & insurance businesses. It is based out of Bangalore with 20+ team focus on technology. Artivatic building is cutting edge solutions to enable 750 Millions plus people to get insurance, financial access and health benefits with alternative data sources to increase their productivity, efficiency, automation power and profitability, hence improving their way of doing business more intelligently & seamlessly. Artivatic offers lending underwriting, credit/insurance underwriting, fraud, prediction, personalization, recommendation, risk profiling, consumer profiling intelligence, KYC Automation & Compliance, automated decisions, monitoring, claims processing, sentiment/psychology behaviour, auto insurance claims, travel insurance, disease prediction for insurance and more. We have raised US $300K earlier and built products successfully and also done few PoCs successfully with some top enterprises in Insurance, Banking & Health sector. Currently, 4 months away from generating continuous revenue.What We are Looking for?- We are looking experienced, seasoned technology professional or entrepreneur who have hands on building deep-tech/SaaS products. - Someone who think to build next billion dollar tech enterprise company based out of India which can solve finance/insurance/healthcare problem at massive scale. Someone who live for code and breathe for code. Skills/Experience :- More than 5+ years technology product building experience - Have either worked in startups or in large enterprises for scalable products- Knowledge in SCALA/Java/Python/Cassandara/Deeplearning/AI/ML/architecture- Data science/Algorithms/Statistics/Mathematics expert - Someone looking to build next billion dollar enterprise - Hands on-coding experience - Willing to work with small team- Willing to work in startup environment - Ability to lead technology team, execute projects well- Building innovative product ideas, algorithms and development - Someone who can built exceptional tech team, convert business problems in to technology solutions - Someone who think to start own companyCompensation & Equity :- Being startup, compensation is not high. Equity 3-4%. CTO Can also invest in company to buy more equity if want based on current valuation with some discount on it.

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Computer Vision Engineer - Machine Learning/Open Source
Computer Vision Engineer - Machine Learning/Open Source

Founded 2017
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Bengaluru (Bangalore)
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2 - 7 years
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Best in industry5 - 12 lacs/annum

About Artivatic :Artivatic is technology startup that uses AI/ML/Deeplearning to build intelligent products & solutions for finance, healthcare & insurance businesses. It is based out of Bangalore with 20+ team focus on technology. Artivatic building is cutting edge solutions to enable 750 Millions plus people to get insurance, financial access and health benefits with alternative data sources to increase their productivity, efficiency, automation power and profitability, hence improving their way of doing business more intelligently & seamlessly. Artivatic offers lending underwriting, credit/insurance underwriting, fraud, prediction, personalization, recommendation, risk profiling, consumer profiling intelligence, KYC Automation & Compliance, automated decisions, monitoring, claims processing, sentiment/psychology behaviour, auto insurance claims, travel insurance, disease prediction for insurance and more. We have raised US $300K earlier and built products successfully and also done few PoCs successfully with some top enterprises in Insurance, Banking & Health sector. Currently, 4 months away from generating continuous revenue.Skills : - We at artivatic are seeking for passionate, talented and research focused computer engineer with strong machine learning and computer vision background to help build industry-leading technology with a focus in document text extraction and parsing using OCR across different languages.Qualifications :- Bachelors or Master degree in Computer Science, Computer vision or related field with specialization in Image Processing or machine learning.- Research experience in Deep Learning models for Image processing or OCR related field is preferred.- Publication record in Deep Learning models for Computer Vision conferences/journals is a plus.Required Skills :- Excellent skills developing in Python in Linux environment. Programming skills with multi-threaded GPU Cuda computing and API Solutions.- Experience applying machine learning and computer vision principles to real-world data and working in Scanned and Documented Images.- Good knowledge of Computer Science, math and statistics fundamentals (algorithms and data structures, meshing, sampling theory, linear algebra, etc.)- Knowledge of data science technologies such as Python, Pandas, Scipy, Numpy, matplotlib, etc.- Broad Computer Vision knowledge - Construction, Feature Detection, Segmentation, Classification; Machine/Deep Learning - Algorithm Evaluation, Preparation, Analysis, Modeling and Execution.- Familiarity with OpenCV, Dlib, Yolo, Capslule Network or similar and Open Source AR platforms and products- Strong problem solving and logical skills.- A go-getter kind of attitude with a willingness to learn new technologies.- Well versed in software design paradigms and good development practices.Responsibilities :- Developing novel algorithms and modeling techniques to advance the state of the art in- Document and Text Extraction.- Image recognition, Object Identification and Visual Recognition - Working closely with R&D and Machine Learning engineers implementing algorithms that power user and developer-facing products.- Be responsible for measuring and optimizing the quality of your algorithmsExperience : 3 Years+ Location : Sony World Signal, Koramangala 4th Block, Bangalore

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Senior Backend Engineer
Senior Backend Engineer

Founded 2017
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Bengaluru (Bangalore)
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4 - 10 years
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Best in industry8 - 20 lacs/annum

About Artivatic : Artivatic is a technology startup that uses AI/ML/Deep learning to build intelligent products & solutions for finance, healthcare & insurance businesses. It is based out of Bangalore with 25+ team focus on technology. The artivatic building is cutting edge solutions to enable 750 Millions plus people to get insurance, financial access, and health benefits with alternative data sources to increase their productivity, efficiency, automation power, and profitability, hence improving their way of doing business more intelligently & seamlessly.  Skills :  - Building server-side logic that powers our APIs, in effect deploying machine learning models in production system that can scale to billions of API calls  - Scaling and performance tuning of database to handle billions of API calls and thousands of concurrent requests  - Collaborate with data science team to build effective solutions for data collection, pre-processing and integrating machine learning into the workflow  - Collaborate, provide technical guidance, and engage in design and code review for other team members.  - Excellent Scala, cassandara, architect, api, software, python, Java programming and software design skills, including debugging, performance analysis and test design  - Proficiency with at least one Scala, GoLang, Python micro frameworks like Flask, Tornado, Play, Spring etc. with experience in building REST APIs  - Experience or understanding in building web crawlers, data fetching bots etc.  - Experience with design and optimisation of Neo4j, cassandra, NoSQL databases, PostGreSQL, Redis, Elastic Search  - Familiarity with one of the cloud service providers, AWS or Google Compute Engine  - Computer Science degree with 4+ years of backend programming experience  Experience : 5 Years+  Location : Sony World Signal, Koramangala 4th Block, Bangalore Job Perks Insurance, Travel Benefits and others

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