11+ Advanced analytics Jobs in Delhi, NCR and Gurgaon | Advanced analytics Job openings in Delhi, NCR and Gurgaon
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Remote, Noida, NCR (Delhi | Gurgaon | Noida)
2 - 5 yrs
₹2L - ₹5L / yr
R ProgrammingAdvanced analytics
PythonMarketing analytics
• Act as a lead analyst on various data analytics projects aiding strategic decision making for Fortune 500 / FTSE 100 companies, Blue Chip Consulting Firms and Global Financial Services companies
• Understand the client objectives, and work with the PL to design the analytical solution/framework. Be able to translate the client objectives / analytical plan into clear deliverables with associated priorities and constraints
• Collect/Organize/Prepare/Manage data for the analysis and conduct quality checks
• Use and implement basic and advanced statistical techniques like frequencies, cross-tabs, correlation, Regression, Decision Trees, Cluster Analysis, etc. to identify key actionable insights from the data
• Develop complete sections of final client report in Power Point. Identify trends and evaluate insights in terms of logic and reasoning, and
be able to succinctly present them in terms of an executive summary/taglines
• Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous self QC, as well as of the work assigned to analysts to ensure an error free output
• Aid in decision making related to client management, and also be able to take client calls relatively independently
• Support the project leads in managing small teams of 2-3 analysts, independently set targets and communicate to team members
• Discuss queries/certain sections of deliverable report over client calls or video conferences
Technical Skills:
• Hands on experience of one or more statistical tools such as SAS, R and Python
• Working knowledge or experience in using SQL Server (or other RDBMS tools) would be an advantage
Work Experience:
• 2-4 years of relevant experience in Marketing Analytics / MR.
• Experience in managing, cleaning and analysis of large datasets using statistical packages like SAS, R, Python, etc.
• Experience in data management using SQL queries on tools like Access/ SQL Server
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Delhi, Gurugram, Noida, Ghaziabad, Faridabad
3 - 6 yrs
₹35L - ₹40L / yr
Data AnalyticsPythonData Visualization
SQL
A Delhi NCR based Applied AI & Consumer Tech company tackling one of the largest unsolved consumer internet problems of our time. We are a motley crew of smart, passionate and nice people who believe you can build a high performing company with a culture of respect aka a sports team with a heart aka a caring meritocracy.
Our illustrious angels include unicorn founders, serial entrepreneurs with exits, tech & consumer industry stalwarts and investment professionals/bankers.
We are hiring for our founding team (in Delhi NCR only, no remote) that will take the product from prototype to a landing! Opportunity for disproportionate non-linear impact, learning and wealth creation in a classic 0-1 with a Silicon Valley caliber founding team.
Key Responsibilities:
1. Data Strategy and Vision:
· Develop and drive the company's data analytics strategy, aligning it with overall business goals.
· Define the vision for data analytics, outlining clear objectives and key results (OKRs) to measure success.
2. Data Analysis and Interpretation:
· Oversee the analysis of complex datasets to extract valuable insights, trends, and patterns.
· Utilize statistical methods and data visualization techniques to present findings in a clear and compelling manner to both technical and non-technical stakeholders.
3. Data Infrastructure and Tools:
· Evaluate, select, and implement advanced analytics tools and platforms to enhance data processing and analysis capabilities.
· Collaborate with IT teams to ensure a robust and scalable data infrastructure, including data storage, retrieval, and security protocols.
4. Collaboration and Stakeholder Management:
· Collaborate cross-functionally with teams such as marketing, sales, and product development to identify opportunities for data-driven optimizations.
· Act as a liaison between technical and non-technical teams, ensuring effective communication of data insights and recommendations.
5. Performance Measurement:
· Establish key performance indicators (KPIs) and metrics to measure the impact of data analytics initiatives on business outcomes.
· Continuously assess and improve the accuracy and relevance of analytical models and methodologies.
Qualifications:
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
- Proven experience (5+ years) in data analytics, with a focus on leading analytics teams and driving strategic initiatives.
- Proficiency in data analysis tools such as Python, R, SQL, and advanced knowledge of data visualization tools.
- Strong understanding of statistical methods, machine learning algorithms, and predictive modelling techniques.
- Excellent communication skills, both written and verbal, to effectively convey complex findings to diverse audie
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Bengaluru (Bangalore), Mumbai, Delhi, Gurugram, Pune, Hyderabad, Ahmedabad, Chennai
3 - 7 yrs
₹8L - ₹15L / yr
AWS Lambda
Amazon S3
Amazon VPC
Amazon EC2
Amazon Redshift
+3 more
Technical Skills:
- Ability to understand and translate business requirements into design.
- Proficient in AWS infrastructure components such as S3, IAM, VPC, EC2, and Redshift.
- Experience in creating ETL jobs using Python/PySpark.
- Proficiency in creating AWS Lambda functions for event-based jobs.
- Knowledge of automating ETL processes using AWS Step Functions.
- Competence in building data warehouses and loading data into them.
Responsibilities:
- Understand business requirements and translate them into design.
- Assess AWS infrastructure needs for development work.
- Develop ETL jobs using Python/PySpark to meet requirements.
- Implement AWS Lambda for event-based tasks.
- Automate ETL processes using AWS Step Functions.
- Build data warehouses and manage data loading.
- Engage with customers and stakeholders to articulate the benefits of proposed solutions and frameworks.
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Gurugram, Delhi, Noida, Ghaziabad, Faridabad
5 - 10 yrs
₹25L - ₹70L / yr
Computer Vision
OpenCV
PythonTensorFlow
PyTorch
Job Title : Lead Computer Vision Engineer
Location : Gurgaon
About the company:
The company is changing the way cataloging is done across the Globe. Our vision is to empower the smallest of sellers, situated in the farthest of corners, to create superior product images and videos, without the need for any external professional help. Imagine 30M+ merchants shooting Product Images or Videos using their Smartphones, and then choosing Filters for Amazon, Asos, Airbnb, Doordash, etc to instantly compose High-Quality "tuned-in" product visuals, instantly. The company has built the world’s leading image editing AI software, to capture and process beautiful product images for online selling. We are also fortunate and proud to be backed by the biggest names in the investment community including the likes of Accel Partners, Angellist and prominent Founders and Internet company operators, who believe that there is an intelligent and efficient way of doing Digital Production than how the world operates currently.
Job Description :
- We are looking for a seasoned Computer Vision Engineer with AI/ML/CV and Deep Learning skills to
play a senior leadership role in our Product & Technology Research Team.
- You will be leading a team of CV researchers to build models that automatically transform millions of e
commerce, automobiles, food, real-estate ram images into processed final images.
- You will be responsible for researching the latest art of the possible in the field of computer vision,
designing the solution architecture for our offerings and lead the Computer Vision teams to build the core
algorithmic models & deploy them on Cloud Infrastructure.
- Working with the Data team to ensure your data pipelines are well set up and
models are being constantly trained and updated
- Working alongside product team to ensure that AI capabilities are built as democratized tools that
provides internal as well external stakeholders to innovate on top of it and make our customers
successful
- You will work closely with the Product & Engineering teams to convert the models into beautiful products
that will be used by thousands of Businesses everyday to transform their images and videos.
Job Requirements:
- Min 3+ years of work experience in Computer Vision with 5-10 years work experience overall
- BS/MS/ Phd degree in Computer Science, Engineering or a related subject from a ivy league institute
- Exposure on Deep Learning Techniques, TensorFlow/Pytorch
- Prior expertise on building Image processing applications using GANs, CNNs, Diffusion models
- Expertise with Image Processing Python libraries like OpenCV, etc.
- Good hands-on experience on Python, Flask or Django framework
- Authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR,ICCV, ACL)
- Prior experience of managing teams and building large scale AI / CV projects is a big plus
- Great interpersonal and communication skills
- Critical thinker and problem-solving skills
Location : Gurgaon
About the company:
The company is changing the way cataloging is done across the Globe. Our vision is to empower the smallest of sellers, situated in the farthest of corners, to create superior product images and videos, without the need for any external professional help. Imagine 30M+ merchants shooting Product Images or Videos using their Smartphones, and then choosing Filters for Amazon, Asos, Airbnb, Doordash, etc to instantly compose High-Quality "tuned-in" product visuals, instantly. The company has built the world’s leading image editing AI software, to capture and process beautiful product images for online selling. We are also fortunate and proud to be backed by the biggest names in the investment community including the likes of Accel Partners, Angellist and prominent Founders and Internet company operators, who believe that there is an intelligent and efficient way of doing Digital Production than how the world operates currently.
Job Description :
- We are looking for a seasoned Computer Vision Engineer with AI/ML/CV and Deep Learning skills to
play a senior leadership role in our Product & Technology Research Team.
- You will be leading a team of CV researchers to build models that automatically transform millions of e
commerce, automobiles, food, real-estate ram images into processed final images.
- You will be responsible for researching the latest art of the possible in the field of computer vision,
designing the solution architecture for our offerings and lead the Computer Vision teams to build the core
algorithmic models & deploy them on Cloud Infrastructure.
- Working with the Data team to ensure your data pipelines are well set up and
models are being constantly trained and updated
- Working alongside product team to ensure that AI capabilities are built as democratized tools that
provides internal as well external stakeholders to innovate on top of it and make our customers
successful
- You will work closely with the Product & Engineering teams to convert the models into beautiful products
that will be used by thousands of Businesses everyday to transform their images and videos.
Job Requirements:
- Min 3+ years of work experience in Computer Vision with 5-10 years work experience overall
- BS/MS/ Phd degree in Computer Science, Engineering or a related subject from a ivy league institute
- Exposure on Deep Learning Techniques, TensorFlow/Pytorch
- Prior expertise on building Image processing applications using GANs, CNNs, Diffusion models
- Expertise with Image Processing Python libraries like OpenCV, etc.
- Good hands-on experience on Python, Flask or Django framework
- Authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR,ICCV, ACL)
- Prior experience of managing teams and building large scale AI / CV projects is a big plus
- Great interpersonal and communication skills
- Critical thinker and problem-solving skills
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Delhi
4 - 8 yrs
₹2L - ₹15L / yr
Spark
Hadoop
Big Data
Data engineering
PySpark
+5 more
- Mandatory - Hands on experience in Python and PySpark.
- Build pySpark applications using Spark Dataframes in Python using Jupyter notebook and PyCharm(IDE).
- Worked on optimizing spark jobs that processes huge volumes of data.
- Hands on experience in version control tools like Git.
- Worked on Amazon’s Analytics services like Amazon EMR, Lambda function etc
- Worked on Amazon’s Compute services like Amazon Lambda, Amazon EC2 and Amazon’s Storage service like S3 and few other services like SNS.
- Experience/knowledge of bash/shell scripting will be a plus.
- Experience in working with fixed width, delimited , multi record file formats etc.
- Hands on experience in tools like Jenkins to build, test and deploy the applications
- Awareness of Devops concepts and be able to work in an automated release pipeline environment.
- Excellent debugging skills.
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Noida
6 - 10 yrs
₹35L - ₹65L / yr
Data Science
Machine Learning (ML)Natural Language Processing (NLP)
Computer Vision
TensorFlow
+6 more
This will be an individual contributor role and people from Tier 1/2 and Product based company can only apply.
Requirements-
● B.Tech/Masters in Mathematics, Statistics, Computer Science or another quantitative field
● 2-3+ years of work experience in ML domain ( 2-5 years experience )
● Hands-on coding experience in Python
● Experience in machine learning techniques such as Regression, Classification,Predictive modeling, Clustering, Deep Learning stack, NLP.
● Working knowledge of Tensorflow/PyTorch
Optional Add-ons-
● Experience with distributed computing frameworks: Map/Reduce, Hadoop, Spark etc.
● Experience with databases: MongoDB
Requirements-
● B.Tech/Masters in Mathematics, Statistics, Computer Science or another quantitative field
● 2-3+ years of work experience in ML domain ( 2-5 years experience )
● Hands-on coding experience in Python
● Experience in machine learning techniques such as Regression, Classification,Predictive modeling, Clustering, Deep Learning stack, NLP.
● Working knowledge of Tensorflow/PyTorch
Optional Add-ons-
● Experience with distributed computing frameworks: Map/Reduce, Hadoop, Spark etc.
● Experience with databases: MongoDB
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NCR (Delhi | Gurgaon | Noida)
2 - 5 yrs
₹20L - ₹30L / yr
PythonMachine Learning (ML)Natural Language Processing (NLP)
NOSQL Databases
Spotmentor is focussed on using the Intelligence-age tools and technologies like AI and Text analytics to create HR technology products which go beyond compliance and ERPs to give HR the power to become strategic, improve business results and increase the competitiveness. The HR and People departments have long sought to become strategic partners with businesses. We are focussed on taking this concept out of the board room meetings and making it a reality and you can be a part of this journey. At the end of it, you would be able to claim that there was an inflection point in History, which changed how business was transacted and you made that happen.
Our first product is a Learning and Skill development platform which helps the organisations to acquire capabilities critical for them by helping employees attain their best potential through learning opportunities.
Spotmentor was started by 4 IIT Kharagpur alumni with experiences in creating Technology products and Management consulting.
We are looking for a Data Scientist who will help discover the information hidden in vast amounts of data, and help us make smarter decisions that benefit the employees of our customer organisations. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high quality prediction systems using structured and unstructured data.
Technical Responsibilities:
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Extending the existing data sets with third party sources of information
- Processing, cleansing, and verifying the integrity of data used for analysis
- Build recommendation systems
- Automate scoring of documents using machine learning techniques
Salary: This is a founding team member role with a salary of 20 Lacs to 30 Lacs per year and a meaningful ESOP component.
Location: Gurgaon
We believe in making Spotmentor the best place for the pursuit of excellence and diversity of opinions is an important tool to achieve that. Although as a startup our primary objective is growth, Spotmentor is focussed on creating a diverse and inclusive workplace where everyone can attain their best potential and we welcome female, minority and specially abled candidates to apply.
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NCR (Delhi | Gurgaon | Noida)
8 - 13 yrs
₹60L - ₹70L / yr
Data ScienceData Scientist
PythonSQL
Machine Learning (ML) +4 more
Join a leading MCommerce company, set your career on a flight towards success and growth.
Our client is one of the oldest fintech companies that is taking banking and financial services to all the customers through their online platform. Having served over 50 million customers in the last 15 years, it is enabling over 7mn banking transactions each month, with a network of nearly 2 lac merchants. Using its vast network of merchant outlets, the platform is reaching the lower and mid-income groups who deal in cash, for them to be able to remit money across the country digitally. It now plans to take its unique digital financial solutions to developing markets across the globe. As pioneers of mobile-based payment services in India, they empower Retailers, Individuals and Businesses to have an online presence and earn or save a little extra through the transactions.
As a Head - Data Science, you will be part of the leadership team and will be expected to manage ambiguity & help the Founders & other leaders in building the roadmap forward for the business.
You will be expected to adopt an "iron sharpens iron" attitude where you will focus on making everyone and every data-driven process better, blend people leadership/ management skills, use predictive modelling and analytics expertise, cloud computing skills and operational know-how.
What you will do:
- Working closely with business stakeholders to define, strategize and execute crucial business problem statements which lie at the core of improvising current and future data-backed product offerings.
- Building and refining underwriting models for extending credit to sellers and API Partners in collaboration with the lending team
- Conceiving, planning and prioritizing data projects and manage timelines
- Building analytical systems and predictive models as a part of the agile ecosystem
- Testing performance of data-driven products participating in sprint-wise feature releases
- Managing a team of data scientists and data engineers to develop, train and test predictive models
- Managing collaboration with internal and external stakeholders
- Building data-centric culture from within, partnering with every team, learning deeply about business, working with highly experienced, sharp and insanely ambitious colleagues
What you need to have:
- B.Tech/ M.Tech/ MS/ PhD in Data Science / Computer Science, Statistics, Mathematics & Computation with a demonstrated skill-set in leading an Analytics and Data Science team from IIT, BITS Pilani, ISI
- 8+ years working in the Data Science and analytics domain with 3+ years of experience in leading a data science team to understand the projects to be prioritized, how the team strategy aligns with the organization mission;
- Deep understanding of credit risk landscape; should have built or maintained underwriting models for unsecured lending products
- Should have handled a leadership team in a tech startup preferably a fintech/ lending/ credit risk startup.
- We value entrepreneurship spirit: if you have had the experience of starting your own venture - that is an added advantage.
- Strategic thinker with agility and endurance
- Aware of the latest industry trends in Data Science and Analytics with respect to Fintech, Digital Transformations and Credit-lending domain
- Excellent command over communication is the key to manage multiple stakeholders like the leadership team, product teams, existing & new investors.
- Cloud Computing, Python, SQL, ML algorithms, Analytics and problem - solving mindset
- Knowledge and demonstrated skill-sets in AWS
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Bengaluru (Bangalore), Pune, Noida, NCR (Delhi | Gurgaon | Noida)
7 - 10 yrs
₹20L - ₹25L / yr
Data engineering
PythonSQL
Spark
PySpark
+10 more
- Sr. Data Engineer:
Core Skills – Data Engineering, Big Data, Pyspark, Spark SQL and Python
Candidate with prior Palantir Cloud Foundry OR Clinical Trial Data Model background is preferred
Major accountabilities:
- Responsible for Data Engineering, Foundry Data Pipeline Creation, Foundry Analysis & Reporting, Slate Application development, re-usable code development & management and Integrating Internal or External System with Foundry for data ingestion with high quality.
- Have good understanding on Foundry Platform landscape and it’s capabilities
- Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
- Defines company data assets (data models), Pyspark, spark SQL, jobs to populate data models.
- Designs data integrations and data quality framework.
- Design & Implement integration with Internal, External Systems, F1 AWS platform using Foundry Data Connector or Magritte Agent
- Collaboration with data scientists, data analyst and technology teams to document and leverage their understanding of the Foundry integration with different data sources - Actively participate in agile work practices
- Coordinating with Quality Engineer to ensure the all quality controls, naming convention & best practices have been followed
Desired Candidate Profile :
- Strong data engineering background
- Experience with Clinical Data Model is preferred
- Experience in
- SQL Server ,Postgres, Cassandra, Hadoop, and Spark for distributed data storage and parallel computing
- Java and Groovy for our back-end applications and data integration tools
- Python for data processing and analysis
- Cloud infrastructure based on AWS EC2 and S3
- 7+ years IT experience, 2+ years’ experience in Palantir Foundry Platform, 4+ years’ experience in Big Data platform
- 5+ years of Python and Pyspark development experience
- Strong troubleshooting and problem solving skills
- BTech or master's degree in computer science or a related technical field
- Experience designing, building, and maintaining big data pipelines systems
- Hands-on experience on Palantir Foundry Platform and Foundry custom Apps development
- Able to design and implement data integration between Palantir Foundry and external Apps based on Foundry data connector framework
- Hands-on in programming languages primarily Python, R, Java, Unix shell scripts
- Hand-on experience in AWS / Azure cloud platform and stack
- Strong in API based architecture and concept, able to do quick PoC using API integration and development
- Knowledge of machine learning and AI
- Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users.
Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision
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NCR (Delhi | Gurgaon | Noida)
3 - 9 yrs
₹6L - ₹18L / yr
Machine Learning (ML)Natural Language Processing (NLP)
PythonData ScienceLocation: 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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NCR (Delhi | Gurgaon | Noida), Mumbai
2 - 7 yrs
₹10L - ₹30L / yr
Data SciencePythonPerl
DjangoMachine Learning (ML) +1 more
About the job:
- You will architect, code and deploy ML models (from scratch) to predict credit risk.
- You will design, run, and analyze A/B and multivariate tests to test hypotheses aimed at optimizing user experience and portfolio risk.
- You will perform data exploration and build statistical models on user behavior to discover opportunities for decreasing user defaults. And you must truly be excited about this part.
- You’ll use behavioral and social data to gain insights into how humans make financial choices
- You will spend a lot of time in building out predictive features from super sparse data sources.
- You’ll continually acquire new data sources to develop a rich dataset that characterizes risk.
- You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice.
About you:
- You’ve strong computer science fundamentals
- You’ve strong understanding of ML algorithms
- Ideally, you have 2+ years of experience in using ML in industry environment
- You know how to run tests and understand their results from a statistical perspective
- You love freedom and hate being micromanaged. You own products end to end
- You have a strong desire to learn and use the latest machine learning algorithms
- It will be great if you have one of the following to share - a kaggle or a github profile
- Degree in statistics/quant/engineering from Tier-1 institutes.
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