By successfully adding value to business models by obtaining meaningful insights from large piles of structured and unstructured data, data science jobs have witnessed a promising growth over the past few years.
For this week’s data science job roles, we have listed 20 latest job openings that just opened the past week.
Associate Data Scientist at Gartner
Location: Gurgaon
Responsibilities: As an Associate Data Scientist at Gartner, you will be responsible for leveraging machine learning and data science algorithms to deliver client value and improve retention of the clients. You will be applying natural language processing and predictive modelling to understand the client’s search query. You will also use ML to develop self-correcting algorithms to improve recommendation in homepage feed and emails, etc.
Apply here.
Data Scientist at Hitachi Vantara
Location: Bangalore
Responsibilities: In this post, you will be exploring large datasets to surface useful trends, signals, and segments, enhancing data collection procedures to include information that is relevant for building analytic systems, analyse structured data, among others.
Apply here.
Associate Data Scientist at UST Global
Location: Thiruvananthapuram
Responsibilities: The Associate Data Scientist will be responsible for defining and implementing the client data management strategy, governance and curation of the data in order to guarantee a smooth transition of data to the service platform or client legacy service platform, etc. The role acts as an interface to other service delivery partner groups, ensuring effective integration of the data management process with other processes in order to meet service level requirements.
Apply here.
Data Scientist at Apollo Hospitals
Location: Hyderabad
Responsibilities: As a Data Scientist at Apollo Hospitals, you will be working with clinical datasets to understand the data structure, coordinate with senior physicians or consultants on different clinical pathways and clinical AI solutions. You will also perform implementation, training and follow up of the clinical AI and other APIs in EMR and the digital platforms.
Apply here.
Computer Vision & Deep Learning Engineer at SynergyLabs
Location: Gurgaon
Responsibilities: The day-to-day responsibilities include working with Python/C++/Golang to build and deploy deep learning models, researching various computer vision problems and their solutions, working on development and analysis of deep learning models, understanding of deep learning model like CNN, RNN, object detection, gans, etc.
Apply here.
Data Scientist at Embibe
Location: Bangalore
Responsibilities: In this DS job, you develop NLP algorithms, datasets and assets, use data to create, curate and enrich Embibe’s knowledge graph, build systems for the evaluation of free form subjective questions, and personalise content for learners using adequate data and intelligence, etc.
Apply here.
Data Scientist at Pocket52
Location: Bangalore
Responsibilities: As a DS at Pocket52, you will be responsible for using data mining, machine learning techniques for building advanced recommend-er systems, knowledge management and insight generation, take analytical objectives and define data requirements in terms of size, format, and cleansing needs for purposes of analysis, modelling/segmentation and reporting, among others.
Apply here.
Data Scientist at Arya.ai
Location: Mumbai
Responsibilities: As a data scientist at Arya.ai, you will be working on a very large scale of industry problems and to push forward frontiers of AI technologies. You need to have hands-on experience in machine learning and its frameworks, strong academic research background around deep learning or machine learning and other such.
Apply here.
AI/ML – Developer at Siemens
Location: Bangalore
Responsibilities: AT Siemens, you will be responsible for developing and prototyping advanced applications in the area of machine learning and artificial intelligence. You need to have good exposure to statistical methods like Hidden Markov Models and Deep learning techniques like CNN, RNN, Autoencoders, GANs, etc.
Apply here.
Data Scientist at Merilytics
Location: Hyderabad
Responsibilities: You are expected to manage a team and also work on complex, cross-functional analytical and research-oriented projects using ML as well as deep learning algorithms. You will be developing proprietary algorithms for solving complex business problems, handling a large amount of structured and unstructured data, etc.
Apply here.
AI Engineer at huddl.ai
Location: Bangalore
Responsibilities: As an AI engineer, you will be responsible for delivering a commercially deployable platform that provides an intuitive collaboration solution targeted at enterprise customers, use NLP and ML techniques to bring order to unstructured data. You will also design, code, train, test, deploy and iterate on enterprise-scale machine learning systems.
Apply here.
Data Scientist at Zebra Technologies
Location: Bangalore
Responsibilities: In this job, you will support the creation of analytical models with emphasis on predictive and prescriptive analytics, identify meaningful insights from extensive data and metadata sources, findings from analysis, evaluate data for development or in the development cycle, etc.
Apply here.
Data Scientist at Fanatics
Location: Hyderabad
Responsibilities: In this role, you will collaborate closely with other engineering, PMs and cross-functional business units to address challenging problems using techniques from applied statistics, machine learning and/or data mining fields. You will be building, deploying and maintaining predictive models in one or more of the following areas, among others.
Apply here.
Data Scientist at Modista Box
Location: Bangalore
Responsibilities: In this role, you will be responsible for leading the delivery of use cases by proposing and delivering advanced analytic models, utilising a blend of contemporary and traditional data mining techniques, applied to both structured and unstructured data sets, conducting data quality assessments, sharing relevant insights with business stakeholders, creating model monitoring solutions and conducting QA on other data science models, etc.
Apply here.
Jr Data Scientist at NextGen Invent Corporation
Location: Delhi
Responsibilities: As a Jr data scientist, you will be using AI, ML, NLP, stats and deep learning algorithms to gain actionable insights from vast amounts of data, doing data analysis and presenting results clearly and concisely, etc.
Apply here.
Data Scientist at Gamooga
Location: Hyderabad
Responsibilities: In this role, you will be designing and developing data-driven exploratory analysis as well as predictive and decision models to solve business problems across a range of advertiser categories, assess the effectiveness and accuracy of new data sources and data gathering techniques, etc.
Apply here.
Data Scientist at Cimpress
Location: Bangalore
Responsibilities: In this role, you will require domain expertise in order to deliver solutions for helping in driving our culture of innovation and refusing to accept the status quo. You will help to continue disrupting the mass customisation industry, etc.
Apply here.
Data Scientist, I at iXplore Technologies
Location: Bangalore
Responsibilities: As a DS I, you will identify the meaningful insights from large data and metadata sources; interpret and communicate insights and findings from analysis and experiments to managers, evaluate new data to collect for products or services under consideration for development or in the development cycle, etc.
Apply here.
Data Scientist at PromptCloud
Location: Bangalore
Responsibilities: For this job role, you will need to have a good understanding of machine learning algorithms like regression algorithms, decision trees, etc., along with distributions, and deep learning algorithms, experience in extraction from structured/unstructured text (knowledge or statistics based), NLP algorithm implementation experience, among others.
Apply here.
Artificial Intelligence Developer at 1Tab
Location: Noida
Responsibilities: In this job, you will build, train, and deploy machine and deep learning models and systems that operate effectively at scale and are used to understand key customer behaviours, surface product recommendations, work alongside product teams to design and build user-facing features involving machine learning, among others.
Apply here.
