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Data Science Jobs in Delhi, NCR and Gurgaon

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

Data Scientist

Founded 2018
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NCR (Delhi | Gurgaon | Noida)
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1 - 3 years
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Best in industry{{renderSalaryString({min: 800000, max: 2000000, duration: "undefined", currency: "INR", equity: false})}}

We are looking for a data scientist to join us. Your role will be to run analysis and build statistical models to help find patterns among the data.You must be comfortable with either R, Python, or Julia to run analysis on the data sets. You must be capable of delivering results independently and be able to take ownership of models built by you

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Data Scientist

Founded 2008
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NCR (Delhi | Gurgaon | Noida)
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3 - 6 years
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We at CarDekho create technology products used daily by millions of people. We’re seeking an experienced Data scientist to deliver that insight to us on a daily basis. Our ideal team member will have the mathematical and statistical expertise - As you mine, interpret, and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within - all with the ultimate goal of realizing the data’s full potential. Responsibilities:- 3+ years of industrial experience in predictive modeling and analysis, predictive software development. Experience in mentoring junior team members, and guiding them on machine learning and data modeling applications. Strong communication and data presentation skills. Experience implementing ML algorithms such as Logistic Regression, Naive Bayes, Bayesian Network, Decision Tree, Neural Network, SVM, Random Forest, convex optimization, transfer learning. Hands-on experience on a minimum of 2 projects that involves either ML or Deep Learning(Theano OR Keras OR Tensorflow). Excellent organizational and analytical skills. Exposure to REST concepts. Expert knowledge developing and debugging in Node.js or Python. Contribute to the production solutions development, testing, and deployment Requirement:- BTech/MTech/Ph.D. in Computer Science or degree in statistics, applied mathematics, from Tier 1 Institutes 4+ years experience in data science Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience

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Engineering Head

Founded 2015
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NCR (Delhi | Gurgaon | Noida)
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7 - 12 years
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Best in industry{{renderSalaryString({min: 3000000, max: 6000000, duration: "undefined", currency: "INR", equity: false})}}

Evaluate and identify appropriate technology platforms (including web application frameworks and the deployment stack) for delivering the company’s Services. (MERN Stack) Communicate the company’s technology strategy to investors, management, staff, partners, customers, and stakeholders. Be the leader in technology trends and evolving social behavior that may support or impede the success of the business. Contribute to Open Source software development, standardization of technologies, and evolution of best practices by collaborating with peers outside the company, presenting at conferences, and writing for publication (online or offline).Minimum 5 Years Experience in an executive leadership role in a SaaSorganization. Experience leading teams in a variety of structures and environments ranging from start- up to large-scale enterprise corporations. Ability to articulate ideas to both technical and non-technical audiences. Ability to activelycommunicate, inspire and motivate all levels ofstaff. Leader – strong track record for building a strong engineering culture and world-classdevelopment teams.

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Engineering Manager - Data

Founded 2014
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Remote, NCR (Delhi | Gurgaon | Noida), Bengaluru (Bangalore)
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6 - 12 years
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Best in industryBest in industry

Why are we building Urbancomapny?   Organized service commerce is a large yet young industry in India. While India is a very large market for a home and local services (~USD 50 Billion in retail spends) and expected to double in the next 5 years, there is no billion-dollar company in this segment today.   The industry is bare ~20 years old, with a sub-optimal market architecture typical of an unorganized market - fragmented supply side operated by middlemen. As a result, experiences are broken for both customers and service professionals, each largely relying upon word of mouth to discover the other. The industry can easily be 1.5-2x larger than it is today if the frictions in user and professional's journeys are removed - and the experiences made more meaningful and joyful.   The Urban Company team is young and passionate, and we see a massive disruption opportunity in his industry. By leveraging technology, and a set of simple yet powerful processes, we wish to build a platform that can organize the world of services - and bring them to your finger-tips. We believe there is the immense value (akin to serendipity) in bringing together customers and professionals looking for each other. In the process, we hope to impact the lives of millions of service entrepreneurs, and transform service commerce they way Amazon transformed product commerce.   Job Description :   Urbancompany has grown 3x YOY and so as our tech stack. We have evolved in data-driven approach solving for the product over the last few years. We deal with around 10TB in data analytics with around 50Mn/day. We adopted platform thinking pretty at the very early stage of UC. We started building central platform teams who are dedicated solve for core engineering problems around 2-3 years ago and now it has evolved to a full-fledged vertical. Out platform vertical majorly includes Data Engineering, Service and Core Platform, Infrastructure, and Security. We are looking for an Engineering Manager for the Data Engineering team currently. A person who loves solving standardization, have strong platform thinking, opinions, have solved for Data Engineering, Data Science and analytics platform.   Job Responsibilities   Building high octane teams with high opinions and strong platform thinking Working on complex design and architectural problems. Solving funnel analytics, product insights and building a highly scalable data platform Experience in building Data Science Platform  Highly productive data-driven models to contribute to product success and building Visioning out the roadmap and thought process behind taking current tech stack to next level Building and maintaining the high NPS of 70% of platform products Strong decision-maker with hands-on experience Think about abstractions, systems and services and write high-quality code. Have an understanding of loopholes in current systems/architecture that can potentially break in the future and push towards solving them with other stakeholders. Think through complex architecture to build robust platforms to serve together all the categories and flows, solve for scale, and work on internally build services to cater to our growing needs.   Job Requirements   At least 1-2+ Years of experience in managing teams 5-8 years of experience in the industry solving complex problems from scratch and have graduate/post-graduate degrees from top-tier universities. A thinker with strong opinions and the ability to get those opinions into reality Prior experience of creating complex systems in the past. Ability to build scalable, sustainable, reliable, and secure products based on past experience and leading teams and projects by themselves. Ability to bring new practices, architectural choices, and new initiatives onto the table to make the overall tech stack more robust. History and familiarity with server-side architecture based on APIs, databases, infrastructure, and systems. Ability to own the technical road map for systems/components.   What can you expect?   A phenomenal work environment, with massive ownership and growth opportunities. A high performance, high-velocity environment at the cutting edge of growth. Strong ownership expectation and freedom to fail. Quick iterations and deployments – fail-fast attitude. Opportunity to work on cutting edge technologies. The massive, and direct impact of the work you do on the lives of people.

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Data Platform Engineer (SDE 1/2/3)

Founded 2014
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Remote, NCR (Delhi | Gurgaon | Noida), Bengaluru (Bangalore)
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3 - 8 years
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Best in industryBest in industry

Why are we building Urban Company?   Organized service commerce is a large yet young industry in India. While India is a very large market for home and local services (~USD 50 Billion in retail spends) and expected to double in the next 5 years, there is no billion-dollar company in this segment today.   The industry is bare ~20 years old, with a sub-optimal market architecture typical of an unorganized market - fragmented supply side operated by middlemen. As a result, experiences are broken for both customers and service professionals, each largely relying upon word of mouth to discover the other. The industry can easily be 1.5-2x larger than it is today if the frictions in user and professional journeys are removed - and the experiences made more meaningful and joyful.   The Urban Company team is young and passionate, and we see a massive disruption opportunity in his industry. By leveraging technology, and a set of simple yet powerful processes, we wish to build a platform that can organize the world of services - and bring them to your finger-tips. We believe there is the immense value (akin to serendipity) in bringing together customers and professionals looking for each other. In the process, we hope to impact the lives of millions of service entrepreneurs, and transform service commerce the way Amazon transformed product commerce.   Urbancompany has grown 3x YOY and so as our tech stack. We have evolved in data-driven approach solving for the product over the last few years. We deal with around 10TB in data analytics with around 50Mn/day.  We adopted the platform thinking pretty early stage of UC. We started building central platform teams who are dedicated to solving core engineering problems around 2-3 years ago and now it has evolved to a full-fledged vertical. Out platform vertical majorly includes Data Engineering, Service and Core Platform, Infrastructure, and Security. We are looking for Data Engineers, a person who loves solving standardization, has strong platform thinking, opinions, and has solved for Data Engineering, Data Science and analytics platforms.   Job Responsibilities Platform first approach to engineering problems. Creating highly autonomous systems with minimal manual intervention. Frameworks which can be extended to larger audiences through open source. Extending and modifying the open source projects to adopt as per Urban Company use case. Developer productivity. Highly abstracted and standardized frameworks like micro services, event-driven architecture, etc.   Job Requirements/Potential Backgrounds Bachelors/master’s in computer science form top-tier Engineering School. Experience with Data pipeline and workflow management tools like Luigi, Airflow etc. Proven ability to work in a fast paced environment. History and Familiarity of server-side development of APIs, databases, dev-ops and systems. Fanatic about building scalable, reliable data products. Experience with Big data tools: Hadoop, Kafka/Kinesis, Flume, etc. is an added advantage. Experience with Relational SQL and NO SQL databases like HBase, Cassandra etc. Experience with stream processing engines like Spark, Link, Storm, etc. is an added advantage.   What UC has in store for you   A phenomenal work environment, with massive ownership and growth opportunities. A high performance, high-velocity environment at the cutting edge of growth. Strong ownership expectation and freedom to fail. Quick iterations and deployments – fail-fast attitude. Opportunity to work on cutting edge technologies. The massive, and direct impact of the work you do on the lives of people.

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Senior Graph Data Scientist

Founded 2002
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Remote, Mumbai, Bengaluru (Bangalore), NCR (Delhi | Gurgaon | Noida)
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5 - 12 years
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Responsibilities  Design experiments, test hypotheses, and build models utilizing the traditional datasets and graph data.  Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems.  Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as geo-location or social media  Utilize patterns and variations in the volume, speed and other characteristics of data for predictive analysis.  Define the preprocessing or feature engineering to be done on a given dataset, data augmentation pipelines, training models and tuning their hyperparameters, analyzing the errors of the model and designing strategies to overcome them  Selecting features, building and optimizing classifiers using machine learning techniques  Extending the company’s data with third party sources of information when needed  Creating automated anomaly detection systems and constant tracking of its performance   Skills and Qualifications  Bachelors in mathematics, statistics or computer science or a related field; Masters or PHD degree preferred.  Experience with one or two of the following: Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory and databases Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai) Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka Familiarity with Cloud-based environments such as AWS (S3/EC2), Azure, Google Cloud Experience with building and deploying predictive and prescriptive analytics models Ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.  Demonstrable ability to quickly understand new concepts-all the way down to the theorems- and to come out with original solutions to mathematical issues.  Strong communication and interpersonal skills

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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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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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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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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 data distribution that could affect performance when deploying the modelin the real worldVerifying data quality, and/or ensuring it via data cleaningSupervising the data acquisition process if more data is neededDefining validation strategiesDefining the pre-processing or feature engineering to be done on a given datasetDefining data augmentation pipelinesTraining models and tuning their hyper parametersAnalysing the errors of the model and designing strategies to overcome themDeploying models to production

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Data Scientist

Founded 2015
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NCR (Delhi | Gurgaon | Noida)
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1 - 3 years
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Job Description We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.  Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance Skills and Qualifications Excellent understanding of machine learning techniques and algorithms, such as Linear regression, SVM, Decision Forests, LSTM, CNN etc. Experience with Deep Learning preferred. Experience with common data science toolkits, such as R, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable Great communication skills Proficiency in using query languages such as SQL, Hive, Pig  Good applied statistics skills, such as statistical testing, regression, etc. Good scripting and programming skills  Data-oriented personality

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Data Scientist

Founded 2018
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Noida, NCR (Delhi | Gurgaon | Noida)
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4 - 10 years
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Best in industry{{renderSalaryString({min: 1800000, max: 2400000, duration: "undefined", currency: "INR", equity: false})}}

Job Description:• Help build a Data Science team which will be engaged in researching, designing,implementing, and deploying full-stack scalable data analytics vision and machine learningsolutions to challenge various business issues.• Modelling complex algorithms, discovering insights and identifying businessopportunities through the use of algorithmic, statistical, visualization, and mining techniques• Translates business requirements into quick prototypes and enable thedevelopment of big data capabilities driving business outcomes• Responsible for data governance and defining data collection and collationguidelines.• Must be able to advice, guide and train other junior data engineers in their job.Must Have:• 4+ experience in a leadership role as a Data Scientist• Preferably from retail, Manufacturing, Healthcare industry(not mandatory)• Willing to work from scratch and build up a team of Data Scientists• Open for taking up the challenges with end to end ownership• Confident with excellent communication skills along with a good decision maker

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Data Scientist

Founded 2018
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Noida, NCR (Delhi | Gurgaon | Noida)
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4 - 10 years
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Job Description:• Help build a Data Science team which will be engaged in researching, designing,implementing, and deploying full-stack scalable data analytics vision and machine learningsolutions to challenge various business issues.• Modelling complex algorithms, discovering insights and identifying businessopportunities through the use of algorithmic, statistical, visualization, and mining techniques• Translates business requirements into quick prototypes and enable thedevelopment of big data capabilities driving business outcomes• Responsible for data governance and defining data collection and collationguidelines.• Must be able to advice, guide and train other junior data engineers in their job.Must Have:• 4+ experience in a leadership role as a Data Scientist• Preferably from retail, Manufacturing, Healthcare industry(not mandatory)• Willing to work from scratch and build up a team of Data Scientists• Open for taking up the challenges with end to end ownership• Confident with excellent communication skills along with a good decision maker

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Deep Learning Coputer VIsion Data Scientist

Founded 2016
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NCR (Delhi | Gurgaon | Noida)
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1 - 7 years
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Best in industry{{renderSalaryString({min: 2000000, max: 3500000, duration: "undefined", currency: "INR", equity: false})}}

We are looking for Smart Deep learning Computer Vision Data Scientist. Phd person is preferable.

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Data Scientist

Founded 2017
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NCR (Delhi | Gurgaon | Noida)
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5 - 10 years
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Best in industry{{renderSalaryString({min: 900000, max: 2000000, duration: "undefined", currency: "INR", equity: false})}}

What you will do:As a Data Science Lead, you will be working on creating industry first analytical and propensity models tohelp discover the information hidden in vast amounts of data, and make smarter decisions to delivereven better customer experience. Your primary focus will be in applying data mining techniques, doingstatistical analysis, and building high quality prediction systems integrated with our products.➢ Working with business and leadership teams to gathering and analyse structured and unstructured data➢ Data mining using state-of-the-art methods➢ Enhancing data collection procedures to include information that is relevant for building analyticsystems➢ Processing, cleansing, and verifying the integrity of data used for analysis➢ Doing ad-hoc analysis and presenting results in a clear manner➢ Creating automated anomaly detection systems and constant tracking of its performance➢ Creation and evolution of an efficient BI pipeline into a multi-faceted pipeline to support variousmodelling needs.What we are looking for:➢ 5-8 years of relevant experience, preferably in financial services industry.➢ A bachelors / master’s degree in the field of Statistics, Mathematics, Computer Science orManagement from Tier 1 Institutes.➢ Data warehousing experience will be a plus.➢ Good conceptual understanding of statistics and probability.➢ Experience in developing dashboards and reports using BI tools.

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Machine Learning Engineer

Founded 1996
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NCR (Delhi | Gurgaon | Noida)
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2 - 5 years
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Best in industry{{renderSalaryString({min: 400000, max: 1000000, duration: "undefined", currency: "INR", equity: false})}}

Tradeindia is looking for Machine Learning Engineers to join its engineering team. The ideal candidate will have industry experience working on a recommendation engine, a range of classification and optimization problems e.g.: Collaborative filtering/recommendation User journey prediction Search ranking Text/ sentiment classification or spam detection Predictive analytics The position will involve taking Algorithm and Programming skills and applying them to some of the most exciting and massive SMEs user data. Qualification: M.tech, B.tech, M.C.A. Location: New Delhi About the company: Launched in the year 1996 to offer the Indian Business community a platform to promote themselves globally tradeindia.com has created a niche as India's largest B2B marketplace, offering comprehensive business solutions to the Domestic and Global Business Community through its wide array of online services, directory services and facilitation of trade promotional events. Our portal is an ideal forum for buyers and sellers across the globe to interact and conduct business smoothly and effectively. With an unmatched expertize in data acquisition and online promotion, Tradeindia subsumes a huge number of company profiles and product catalogs under 2,256 different product categories and sub-categories. It is well promoted on all major search engines and receives an average of 20.5 million hits per month. Tradeindia is maintained and promoted by INFOCOM NETWORK LTD. Today we have reached a database of 47,66,674 registered users (Jan 2019), and the company is growing on a titanic scale with a considerable amount of new users joining/registering everyday, under the innovative vision and guidance of Mr. Bikky Khosla, CEO.

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Senior Data Scientist

Founded 2016
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NCR (Delhi | Gurgaon | Noida)
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8 - 15 years
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Best in industry{{renderSalaryString({min: 1800000, max: 3500000, duration: "undefined", currency: "INR", equity: false})}}

•Analytics, Big Data, Machine Learning (including deep learning methods): Algorithm design, analysis and development and performance improvement o Strong understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering, classification, regression techniques, and recommendation (collaborative filtering) algorithms Share CV to me at

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Machine learning

Founded 2016
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NCR (Delhi | Gurgaon | Noida)
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3 - 9 years
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Best in industry{{renderSalaryString({min: 600000, max: 1800000, duration: "undefined", currency: "INR", equity: false})}}

Location: Gurgaon Role: • The person will be part of data science team. This person will be working on a close basis with the business analysts and the technology team to deliver the Data Science portion of the project and product. • Data Science contribution to a project can range between 30% to 80%. • Day to Day activities will include data exploration to solve a specific problem, researching of methods to be applied as solution, setting up ML process to be applied in context of a specific engagement/ requirement, contributing to building a DS platform, coding the solution, interacting with client on explanations, integration the DS solution with the technology solution, data cleaning and structuring etc. • Nature of work will depend on stage of a specific engagement, available engagements and individual skill At least 2-6 years of experience in: • Machine Learning (including deep learning methods): Algorithm design, analysis and development and performance improvement o Strong understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering, classification, regression techniques, and recommendation (collaborative filtering) algorithms o Time Series Analysis o Optimization techniques and work experience with solvers for MILP and global optimization. • Data Science o Good experience in exploratory data analysis and feature design & development o Experience of applying and evaluating ML algorithms to practical predictive modeling scenarios in various verticals including (but not limited to) FMCG, Media, E-commerce and Hospitality. • Proficient with programming in Python (must have) & PySpark (good to have). Parallel ML algorithms design and development and usage for maximal performance on multi-core, distributed and/or GPU architectures. • Must be able to write a production ready code with reusable components and integration into data science platform. • Strong inclination to write structured code as per prevailing coding standards and best practices. • Ability to design a data science architecture for repeatability of solutions • Preparedness to manage whole cycle from data preparation to algorithm design to client presentation at individual level. • Comfort in working on AWS including managing data science AWS servers • Team player and good communication and interpersonal skills • Good experience in Natural Language Processing and its applications (Good to Have)

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Senior Consultant Analytics - BI

Founded 2015
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NCR (Delhi | Gurgaon | Noida)
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3 - 5 years
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Best in industry{{renderSalaryString({min: 1200000, max: 2000000, duration: "undefined", currency: "INR", equity: false})}}

As a Senior Consultant Analytics, you shall gather, analyze, identify and lead actionable data insights to solve real complex challenges. Your work will directly influence decisions taken to build the most successful web/mobile gaming platform with games played by millions across the world. Responsibilities Leverage complex data algorithms and numerical methods for forecasting, simulation, and predictive analysis, designed to optimize key decisions and metrics such as retention, engagement, and operations. Work with all teams in the company to understand, plan and drive data-based actionable decisions, championing the Data Science culture. Analyze consumer data to drive insight on how to target effectively, retain customers at low cost, and optimize engagement metrics. Develop a reporting process for all KPIs. Recruit, develop and coach talent. Champion awareness of data indicators within the organization and teach everyone to proactively identify data patterns, growth trends, and areas for improvement. Qualifications B.tech or Bachelor degree in Data science. An MBA or advanced degree in a quantitative discipline is preferred. 3+ years in Data Science and Analytics execution, with specific experience in all stages - gathering, hygiene, and analysis of data resulting in actionable insights for an end-to-end product, marketing and business operations. Knowledge of advanced analytics including but not limited to Regression, GLMs, survival modeling, predictive analytics, forecasting, machine learning, decision trees etc. Past experience in at least one Statistical and analytic tools or language expertise R, Python, SAS etc.. Expertise in analysis Algorithms, Numerical Methods and Data Tactics used to drive operational excellence, user engagement and retention. Expertise in at least one visualization platforms such as Tableau, QlikView, Spotfire and Excel. Tableau skills preferred. Advanced SQL is mandatory skills. Ability to creatively solve business problems through innovative approaches. Ability to work with various teams in a complex environment, ensuring timely delivery of multiple projects. Highly analytical with the ability to collate, analyze and present data, and drive clear insights into decisions that improve KPIs. Ability to effectively communicate and manage relationships with senior management, company divisions and partners.

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Rupanjali Sen Gupta
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