Data Scientist

About the role:

Looking for an engineer to apply Deep Learning algorithms to implement and improve perception algorithms related to Autonomous vehicles. The position requires you to work on the full life-cycle of Deep learning development including data collection, feature engineering, model training, and testing. One will have the opportunity to implement a state-of-the-art Deep learning algorithm and apply it to real end-to-end production. You will be working with the team and team lead on challenging Deep Learning projects to deliver product quality improvements.

Responsibilities:

• Build novel architectures for classifying, detecting, and tracking objects.
• Develop efficient Deep Learning architectures that can run in real-time on NVIDIA devices.

• Optimize the stack for deployment on embedded devices
• Work on Data pipeline – Data Acquisition, pre-processing, and analysis.
•  

Skillsets:

• Languages: C++, Python.
• Frameworks: CUDA, TensorRT, Pytorch, Tensorflow, ONNX.
• Good understanding of Linux and Version Control (Git, GitHub, GitLab).

• Experienced with OpenCV, Deep Learning to solve image domain problems.

• Strong understanding of ROS.
• Skilled with software design, development, and bug-fixing.
• Coordinate with team members for the development and maintenance of the package.

• Strong mathematical skills and understanding of probabilistic techniques.

• Experience handling large data sets efficiently.
• Experience with deploying Deep Learning models for real-time applications on Nvidia platforms like Drive AGX Pegasus, Jetson AGX Xavier, etc.

Add On Skills:

• Frameworks: Pytorch Lighting
• Experience with autonomous robots
• OpenCV projects, Deep Learning projects
• Experience with 3D data and representations (point clouds, meshes, etc.)
• Experience with a wide variety of Deep learning Models (e.g: LSTM, RNN, CNN, GAN, etc.)

Job Overview

We are looking for a Data Engineer to join our data team to solve data-driven critical

business problems. The hire will be responsible for expanding and optimizing the existing

end-to-end architecture including the data pipeline architecture. The Data Engineer will

collaborate with software developers, database architects, data analysts, data scientists and platform team on data initiatives and will ensure optimal data delivery architecture is

consistent throughout ongoing projects. The right candidate should have hands on in

developing a hybrid set of data-pipelines depending on the business requirements.

Responsibilities

• Develop, construct, test and maintain existing and new data-driven architectures.
• Align architecture with business requirements and provide solutions which fits best
• to solve the business problems.
• Build the infrastructure required for optimal extraction, transformation, and loading
• of data from a wide variety of data sources using SQL and Azure ‘big data’
• technologies.
• Data acquisition from multiple sources across the organization.
• Use programming language and tools efficiently to collate the data.
• Identify ways to improve data reliability, efficiency and quality
• Use data to discover tasks that can be automated.
• Deliver updates to stakeholders based on analytics.
• Set up practices on data reporting and continuous monitoring
  
  

Required Technical Skills

• Graduate in Computer Science or in similar quantitative area
• 1+ years of relevant work experience as a Data Engineer or in a similar role.
• Advanced SQL knowledge, Data-Modelling and experience working with relational
• databases, query authoring (SQL) as well as working familiarity with a variety of
• databases.
• Experience in developing and optimizing ETL pipelines, big data pipelines, and datadriven
• architectures.
• Must have strong big-data core knowledge & experience in programming using Spark - Python/Scala
• Experience with orchestrating tool like Airflow or similar
• Experience with Azure Data Factory is good to have
• Build processes supporting data transformation, data structures, metadata,
• dependency and workload management.
• Experience supporting and working with cross-functional teams in a dynamic
• environment.
• Good understanding of Git workflow, Test-case driven development and using CICD
• is good to have
• Good to have some understanding of Delta tables It would be advantage if the candidate also have below mentioned experience using
• the following software/tools:
• Experience with big data tools: Hadoop, Spark, Hive, etc.
• Experience with relational SQL and NoSQL databases
• Experience with cloud data services
• Experience with object-oriented/object function scripting languages: Python, Scala, etc.

Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.

 

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

 

Job Descriptions

 

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

 

Technical Requirements

 

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

 

Experience & Education 

 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 

Employee Strength : around 600 in all over India

REQUIRED SKILLS:

• Total of 4+ years of experience in development, architecting/designing and implementing Software solutions for enterprises.

• Must have strong programming experience in either Python or Java/J2EE.

• Minimum of 4+ year’s experience working with various Cloud platforms preferably Google Cloud Platform.

• Experience in Architecting and Designing solutions leveraging Google Cloud products such as Cloud BigQuery, Cloud DataFlow, Cloud Pub/Sub, Cloud BigTable and Tensorflow will be highly preferred.

• Presentation skills with a high degree of comfort speaking with management and developers

• The ability to work in a fast-paced, work environment

• Excellent communication, listening, and influencing skills

RESPONSIBILITIES:

• Lead teams to implement and deliver software solutions for Enterprises by understanding their requirements.

• Communicate efficiently and document the Architectural/Design decisions to customer stakeholders/subject matter experts.

• Opportunity to learn new products quickly and rapidly comprehend new technical areas – technical/functional and apply detailed and critical thinking to customer solutions.

• Implementing and optimizing cloud solutions for customers.

• Migration of Workloads from on-prem/other public clouds to Google Cloud Platform.

• Provide solutions to team members for complex scenarios.

• Promote good design and programming practices with various teams and subject matter experts.

• Ability to work on any product on the Google cloud platform.

• Must be hands-on and be able to write code as required.

• Ability to lead junior engineers and conduct code reviews



QUALIFICATION:

• Minimum B.Tech/B.E Engineering graduate

Roles and Responsibilities:
 Mining large volumes of credit behavior data to generate insights around product holdings and monetization opportunities for cross sell
 Use data science to size opportunity and product potential for launch of any new product/pilots
 Build propensity models using heuristics and campaign performance to maximize efficiency.
 Conduct portfolio analysis and establish key metrics for cross sell partnership

Desired profile/Skills:
 2-5 years of experience with a degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics
 Excellent problem solving and comprehensive analytical skills – ability to structure ambiguous problem statements, perform detailed analysis and derive crisp insights.
 Solid experience in using python and SQL
 Prior work experience in a financial services space would be highly valued

Location: Bangalore/ Ahmedabad

REQUIREMENT:

•  Previous experience of working in large scale data engineering
•  4+ years of experience working in data engineering and/or backend technologies with cloud experience (any) is mandatory.
•  Previous experience of architecting and designing backend for large scale data processing.
•  Familiarity and experience of working in different technologies related to data engineering – different database technologies, Hadoop, spark, storm, hive etc.
•  Hands-on and have the ability to contribute a key portion of data engineering backend.
•  Self-inspired and motivated to drive for exceptional results.
•  Familiarity and experience working with different stages of data engineering – data acquisition, data refining, large scale data processing, efficient data storage for business analysis.
•  Familiarity and experience working with different DB technologies and how to scale them.

RESPONSIBILITY:

•  End to end responsibility to come up with data engineering architecture, design, development and then implementation of it.
•  Build data engineering workflow for large scale data processing.
•  Discover opportunities in data acquisition.
•  Bring industry best practices for data engineering workflow.
•  Develop data set processes for data modelling, mining and production.
•  Take additional tech responsibilities for driving an initiative to completion
•  Recommend ways to improve data reliability, efficiency and quality
•  Goes out of their way to reduce complexity.
•  Humble and outgoing - engineering cheerleaders.

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. 

• 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

• 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

Data [email protected] Data Science at Dream11 comprises of enthusiastic young scientists thriving to derive value from data continuously. Data Science team focuses on product and user analytics by integrating data from multiple sources streaming at a rate of ~100 GB/day. The team has developed state-of-art solutions for developing automated contests, data driven risk prevention model, risk aversion, recommendation systems to enhance product and user experience. Your Role: You should be self-motivated to develop data science solutions, practices and lead data science team in Mumbai at Dream11. The role involves intense usage of machine learning, predictive modelling, data mining, behaviour psychology and sports analytics to help Dream11 be more fun, social and rewarding. • Responsibility for developing data science road map and initiatives at Dream11 • Giving a strategic perspective to our teams and providing business understanding to the organisation based on your data analysis • Developing data science solutions to enhance product ability and user experience • Applying rigorous experimentation and iterative analytics to steer the improvements of our products, while implementing machine learning and artificial intelligence • Creating algorithms to extract information from a large data set to perform statistical analysis and analyse the same to create predictive models for consumer behaviour • Establishing scalable, efficient, automated processes for model development, model validation and model implementation MUST have: • You need to eat, breathe and sleep data. For you, everything must be probability and distributions • Have a strong background in statistical concepts and machine learning models along with an expertise in data visualization and presentation • Have 5+ years of work experience in Data Sciences and Machine Learning. • Have 8+ years of work experience with large volumes of data preferably in e-commerce • Have a formal education in relevant fields such as stats, computer science or applied math Bonus: • Managed a team • Experience of working in an agile environment • Previous experience at a fast-growing consumer internet startup