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Data Science Jobs

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

Head Data Science
Head Data Science

Founded 2012
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Remote, Noida, NCR (Delhi | Gurgaon | Noida)
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8 - 15 years
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Best in industry{{renderSalaryString({min: 3000000, max: 4500000, duration: "undefined", currency: "INR", equity: false})}}

Responsibilities:  Identify complex business problems and work towards building analytical solutions in-order to create large business impact. Demonstrate leadership through innovation in software and data products from ideation/conception through design, development and ongoing enhancement, leveraging user research techniques, traditional data tools, and techniques from the data science toolkit such as predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc. Collaborate and ideate with cross-functional teams to identify strategic questions for the business that can be solved and champion the effectiveness of utilizing data, analytics, and insights to shape business. Contribute to company growth efforts, increasing revenue and supporting other key business outcomes using analytics techniques. Focus on driving operational efficiencies by use of data and analytics to impact cost and employee efficiency. Baseline current analytics capability, ensure optimum utilization and continued advancement to stay abridge with industry developments. Establish self as a strategic partner with stakeholders, focused on full innovation system and fully supportive of initiatives from early stages to activation. Review stakeholder objectives and team's recommendations to ensure alignment and understanding. Drive analytics thought leadership and effectively contributes towards transformational initiatives. Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.

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Python Developer
Python Developer

Founded 2017
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Remote, Bengaluru (Bangalore)
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1 - 3 years
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Python Developer Job Role We are looking for a Python Developer to join our engineering team and help us develop and maintain various software products. Python Developer responsibilities include writing and testing code, debugging programs and integrating applications with third-party web services. To be successful in this role, you should have experience using server-side logic and work well in a team. Responsibilities : o Write effective, scalable code o Develop back-end components to improve responsiveness and overall performance o Integrate user-facing elements into applications o Test and debug programs o Improve functionality of existing systems o Coordinate with internal teams to understand user requirements and provide technical solutions Requirements : o 1+ years of work experience as a Python Developer o Expertise in at least one popular Python framework (like Django, Flask, etc) o Familiarity with working on 2-3 libraries and python data structures related to data science like data frame and libraries like pandas, bumpy, sklearn, etc.. o Familiarity with front-end technologies (like JavaScript and HTML5) would be a bonus o Ability to work independently o Good problem-solving skills o Adhere to delivery timelines very strictly o Ability to work with REST API, GraphQL will be appreciated o The expertise of working with at least one database like MySQL, MongoDB o Ability to learn things quickly

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Hiring NLP Data Scientist
Hiring NLP Data Scientist

Founded
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London
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3 - 12 years
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Proven experience as an NLP Engineer or similar role Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling Ability to effectively design software solutions using NLP techniques Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms Strong familiarity with NLP, Deep Learning, neural network architectures including CNNs, RNNs, Embeddings, Transfer Learning and Transformers, and Attention-based Networks. Knowledge of Python and Java Experience with machine learning frameworks (like Tensorflow, Keras, or PyTorch) and libraries (like scikit-learn) Experience with Google AI Platform a plus An analytical mind with problem-solving abilities Ability to write robust and testable code Strong communication skills

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Data Scientist
Data Scientist

Founded 2018
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Remote, Bengaluru (Bangalore)
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3 - 7 years
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Best in industry{{renderSalaryString({min: 1200000, max: 3000000, duration: "undefined", currency: "INR", equity: false})}}

Role & Responsibilities: 1) Understand the business objectives, formulate hypotheses and collect the relevant data using SQL/R/Python. Analyse bureau, customer and lending performance data on a periodic basis to generate insights. Present complex information and data in an uncomplicated, easyto-understand way to drive action.2) Independently Build and refit robust models for achieving game-changing growth while managing risk.3) Identify and implement new analytical/modelling techniques to improve model performance across customer lifecycle (acquisitions, management, fraud, collections, etc.4) Help define the data infrastructure strategy for Indian subsidiary.a. Monitor data quality and quantity. b. Define a strategy for acquisition, storage, retention, and retrieval of data elements. e.g.: Identify new data types and collaborate with technology teams to capture them. c. Build a culture of strong automation and monitoring d. Staying connected to the Analytics industry trends - data, techniques, technology, etc. and leveraging them to continuously evolve data science standards at Credit Saison. Required Skills & Qualifications: 1) 3+ years working in data science domains with experience in building risk models. Fintech/Financial analysis experience is required. 2) Expert level proficiency in Analytical tools and languages such as SQL, Python, R/SAS, VBA etc. 3) Experience with building models using common modelling techniques (Logistic and linear regressions, decision trees, etc.) 4) Strong familiarity with Tableau//Power BI/Qlik Sense or other data visualization tools 5) Tier 1 college graduate (IIT/IIM/NIT/BITs preferred). 6) Demonstrated autonomy, thought leadership, and learning agility.

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Data Engineer
Data Engineer
at Uber

via Uber
Founded 2012
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Bengaluru (Bangalore)
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4 - 8 years
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Best in industry{{renderSalaryString({min: 2500000, max: 5000000, duration: "undefined", currency: "INR", equity: false})}}

About the Role If you are interested in building large scale data pipelines that impacts how Uber makes decisions about Rider lifecycle and experience, join the Rider Data Platform team. Uber collects petabyte scale analytics data from the different Ride booking apps. Help us build the software systems and data models that will enable data scientists reason about user behavior and build models for consumption by different rider facing program teams. What You'll Do Identify unified data models collaborating with Data Science teams Streamline data processing of the original event sources and consolidate them in source of truth event logs Build and maintain real-time/batch data pipelines that can consolidate and clean up usage analytics Build systems that monitor data losses from the mobile sources Devise strategies to consolidate and compensate the data losses by correlating different sources Solve challenging data problems with cutting edge design and algorithms What You'll Need 4+ years experience in a competitive engineering environment Design: Knowledge of data structures and an eye for design. You can discuss the tradeoff between design choices, both on a theoretical level and on an applied level. Strong coding/debugging abilities: You have advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Java, Python, and Scala. Big data: Experience with Distributed systems such as Hadoop, Hive, Spark, Kafka is preferred. Data pipeline: Strong understanding in SQL, Database. Experience in building data pipelines is a great plus. Love getting your hands dirty with the data implementing custom ETLs to shape it into information. A team player: You believe that you can achieve more on a team that the whole is greater than the sum of its parts. You rely on others' candid feedback for continuous improvement. Business acumen: You understand requirements beyond the written word. Whether you're working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience. About the Team Rider Data Platform team is a relatively new team tasked with shaping up the future architecture of Uber's Rider Data Stack. We are a bunch of engineers passionate about helping Uber grow by focusing our energy on building the next gen data platform to provide insights to the global Rider data in the most optimal manner. This would be instrumental in identifying gaps in the current implementation as well as formulating the key strategies for overall Rider experience. Uber At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.

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DATA SCIENTIST (Bangalore Location)
DATA SCIENTIST (Bangalore Location)

Founded 2015
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Remote, Bengaluru (Bangalore)
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4 - 7 years
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Best in industry{{renderSalaryString({min: 1500000, max: 2000000, duration: "undefined", currency: "INR", equity: false})}}

• Strong problem solving skills with an emphasis on product development.• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and drawinsights from large data sets.• Experience in building ML pipelines with Apache Spark, Python• Proficiency in implementing end to end Data Science Life cycle• Experience in Model fine tuning and advanced grid search techniques• Experience working with and creating data architectures.• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neuralnetworks, 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.• 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 targetingand 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.Key skills:● Strong knowledge in Data Science pipelines with Python● Object oriented programming● A/B testing framework and model fine tuning● Proficiency in using scikit, numpy and pandas package in pythonNice to have:● Ability to work with containerised solutions: Docker/Compose/Swarm/Kubernetes● Unit testing, Test driven development practice● DevOps, Continuous integration/ continuous deployment experience● Agile development environment experience, familiarity with SCRUM● Deep learning knowledge

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Machine & Deep Learning Engineer | Bangalore
Machine & Deep Learning Engineer | Bangalore

Founded 2015
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Remote, Bengaluru (Bangalore)
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4 - 7 years
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You are expected to build Deep learning models to process unstructured data like images and scanned financialdocuments and convert it to meaningful tables with optical character recognition technologies.You are also expected to build Machine Learning and Deep learning models for facial recognition, and object comparison.The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in thefield.• Strong problem solving skills with an emphasis on deep learning product development.• Experience in computer vision, optical character recognition, facial recognition and deep learning• Strong implementation knowledge on Array Data Structures 2D and 3D• Strong knowledge in image processing, CNN deep learning architectures, image augmentation with tensorflowand pytorch• Experience using machine learning computer languages (R, Python, SLQ, etc.) to manipulate data and drawinsights from large data sets.• Experience in building ML pipelines with Apache Spark, Python• Proficiency in implementing end to end Data Science Life cycle• Experience in Model fine tuning and advanced grid search techniques• Experience working with and creating data architectures.• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neuralnetworks, etc.) and their real-world advantages/drawbacks.• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statisticaltests 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.• 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 andother 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.Key skills:● Strong knowledge in Data Science pipelines with Python, deep learning architectures● OCR Tesseract, OpenCV, Scikit, Pandas, Numpy, pytorch and tensorflow● Object oriented programming● A/B testing framework and model fine tuningNice to have:● Ability to work with containerised solutions: Docker/Compose/Swarm/Kubernetes● Unit testing, Test driven development practice● DevOps, Continuous integration/ continuous deployment experience● Agile development environment experience, familiarity with SCRUM

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Data Scientist
Data Scientist

Founded 2014
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Noida, NCR (Delhi | Gurgaon | Noida)
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1 - 7 years
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Octro Inc. is looking for a Data Scientist who will support the product, leadership and marketing teams with insights gained from analyzing multiple sources of 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 :- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.- Mine and analyze data from multiple 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 modelling to increase and optimize user experiences, revenue generation, ad targeting and other business outcomes.- Develop various A/B testing frameworks and test model qualities.- 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 :- Strong problem solving skills with an emphasis on product development and improvement.- Advanced knowledge of SQL and its use in data gathering/cleaning.- Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets.- 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.

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AI Engineer
AI Engineer

Founded 2019
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Bengaluru (Bangalore)
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1 - 4 years
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Best in industry{{renderSalaryString({min: 800000, max: 1800000, duration: "undefined", currency: "INR", equity: false})}}

Learngram is a Singapore based AI driven EdTech startup with a vision to empower institutions offer their educational content to learners through a tech platform that helps learners master the content.   At Learngram, we are building an AI powered E-Learning platform.Our tech team is based out of Bengaluru. We are building a high quality team of result focused & innovative problem solvers.   Founders:Vikas Goel - CEORaman Kishore - CTO    We are looking for an early team member to join our startup. Someone who is passionate to be at the helm of building a company, who can build products ground up and is enthusiastic to be a very early member of a startup.   Great opportunity to solve real life problems using AI and transform the way education is being delivered by helping students/learners in their learning journey.   An ideal candidate is skilled in ML/Deep Learning NLP Image processing Speech processing AI deployment is passionate about solving real life problems has continuous learning attitude high ownership startup mindset optimistic Website: https://www.learngram.ai/

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Sr. Data Scientist | Chennai
Sr. Data Scientist | Chennai

Founded 2015
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Chennai
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4 - 7 years
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JD To build deep learning models in Tensorflow and Keras To build Machine learning and Text Analysis projects Extensive knowledge of python, data structures, and algorithms Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc Data Analysis analysis and presenting results in a clear manner Building Deep learning models over unstructured sources such as images, speech and text data. Skills and Qualifications B.E/B.TECH/MCA in COMPUTER SCIENCE ENGINEERING ONLY or Any Degree specializing in Computer Science or Information Technology or Information Science. Excellent Knowledge of computer science engineering basics. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc  Understanding of Natural Language processing techniques and algorithms such as dimensionality reduction, NLTK, CoreNLP, Spacy Understanding of Deep learning concepts and techniques such as YoLo, Object Detection, Image Classification. Experience with common data science toolkits, such as scikit-learn, spacy, Keras. Excellence in at least one of these is highly desirable Great communication skills in English both written and verbal. Proficiency in using query languages such as SQL. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good programming skills in Python or Java. Well versed with data structures and algorithms. Deep learning

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Python Developer
Python Developer

Founded 2016
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Pune, Ahmedabad, Bengaluru (Bangalore)
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3 - 7 years
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Responsibilities: Writing reusable, testable, and efficient code Design and implementation of low-latency, high-availability, and performant applications Integration of user-facing elements developed by front-end developers with server side logic Implementation of security and data protection Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.) Expert in Python, with knowledge of at least one Python web framework (such as Django, Flask, etc depending on your technology stack) Familiarity with some ORM (Object Relational Mapper) libraries Able to integrate multiple data sources and databases into one system Understanding of the threading limitations of Python, and multi-process architecture Good understanding of server-side templating languages (such as Jinja 2, Mako, etc depending on your technology stack) Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Understanding of accessibility and security compliance (depending on the specific project) Knowledge of user authentication and authorization between multiple systems, servers, and environments Understanding of fundamental design principles behind a scalable application Familiarity with event-driven programming in Python Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform Able to create database schemas that represent and support business processes Strong unit test and debugging skills Basic knowledge of machine learning algorithm and libraries like keras, tensorflow, sklearn.

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Senior Data Scientist | Chennai
Senior Data Scientist | Chennai

Founded 2015
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Chennai
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5 - 8 years
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JD To build deep learning models in Tensorflow and Keras To build Machine learning and Text Analysis projects Extensive knowledge of python, data structures, and algorithms Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc Data Analysis analysis and presenting results in a clear manner Building Deep learning models over unstructured sources such as images, speech and text data. Skills and Qualifications B.E/B.TECH/MCA in COMPUTER SCIENCE ENGINEERING ONLY or Any Degree specializing in Computer Science or Information Technology or Information Science. Excellent Knowledge of computer science engineering basics. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc  Understanding of Natural Language processing techniques and algorithms such as dimensionality reduction, NLTK, CoreNLP, Spacy Understanding of Deep learning concepts and techniques such as YoLo, Object Detection, Image Classification. Experience with common data science toolkits, such as scikit-learn, spacy, Keras. Excellence in at least one of these is highly desirable Great communication skills in English both written and verbal. Proficiency in using query languages such as SQL. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good programming skills in Python or Java. Well versed with data structures and algorithms. Deep learning

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Data Scientist
Data Scientist

Founded 2015
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Remote only
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3 - 7 years
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Key Responsibilities:• Apply Data Mining/ Data Analysis methods using a variety of data tools, building andimplementing models using algorithms and creating/ running simulations to drive optimisation and improvement across business functions• Assess accuracy of new data sources and data gathering techniques• PerformExploratory Data Analysis, detailed analysis of business problems and technical environments indesigning the solution• Apply Supervised, Unsupervised, Reinforcement Learning and Deep Learning algorithms• Apply advanced Machine Learning Algorithms and Statistics:o Regression, Simulation, Scenario Analysiso Time Series Modellingo Classification -Logistic Regression, Decision Trees, SVM, KNN, Naive Bayeso Clustering, K-Means, Aprioprio Ensemble Models -Random Forest, Boosting, Baggingo Neural Networks• Lead and manage Proof of Concepts and demonstrate the outcomes quickly• Document use cases, solutions and recommendations• Work analytically in a problem-solving environment• Work in a fast-paced agile development environment• Coordinate with different functional teams to implement models and monitor outcomes• Work with stakeholders throughout the organization to identify opportunities for leveraging organisationdata and apply Predictive Modelling techniques to gain insights across businessfunctions -Operations,Products, Sales, Marketing, HR and Finance teams• Help program and project managers in the design, planning and governance of implementing DataScience solutions

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Javascript Developer
Javascript Developer

Founded 2017
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Ahmedabad
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2 - 5 years
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Looking for candidates who are familiar with JS libs like video.js & markjs.io and chatbot ecosystem.

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Assistant / Associate / Professor - IT
Assistant / Associate / Professor - IT

Founded 2007
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Remote, PAN India
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3 - 15 years
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Professor: To drive the campus academic operations in close coordination with,     a) Head of Departments. b) Faculty members c) Students To create an 'IT centre of excellence' at the campus. Should have driven the academic function of IT dept. Should have experience of handling the academic operations Associate / Assistant Professor: Adhering to university time line (other the new courses) To ensure coverage of Syllabus as per university standards Learning Outcome Examination Result ( Includes both Internal & Main Exams) Knowledge Improvement Program Innovation & Development   Technical Skills: General: C++, Java, OS, RDBMS, Software Engg, Data Structure etc Niche technologies like Cloud, Mobility, Information security, Data Science, IoT and Artificial Intelligence to name a few    Behavioural Competencies: Strong Leadership Qualities               Excellent Communication skills               Strong interpersonal skills to work with diverse teams         Strong Presentation Skills   Qualification: B.Tech, M.Tech & Ph.D - Completed / Pursuing Year of Exp: Professor: Min 12+ years of exp post PG and 5 years post Ph.D Associate Professor: Min 10+ years of exp post PG and 3 years post Ph.D Assistant Professor: 2+ years exp   How you match   Criteria provided by job poster Skills Match   Teaching No match Data Privacy No match Internet of Things (IoT) No match Artificial Intelligence (AI) No match Curriculum No match Network Security No match Presentation Skills No match Information Security No match RDBMS No match Interpersonal Skills.

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ML Researcher
ML Researcher

Founded 2018
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NCR (Delhi | Gurgaon | Noida)
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1 - 3 years
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Understanding business objectives and developing models that help to achieve them,along with metrics to track their progressManaging available resources such as hardware, data, and personnel so that deadlinesare metAnalysing the ML algorithms that could be used to solve a given problem and rankingthem by their success probabilityExploring and visualizing data to gain an understanding of it, then identifyingdifferences in