Lenskart was founded with a vision to help people see the beautiful world by revolutionizing the eyewear category in India and beyond. The ten-year-old company now delivers 7 million + spectacles a year in India and Singapore and plans to ship out over a billion glasses over the next ten years. Lenskart being an Omni-channel direct to consumer retail brand provides a unique ecosystem of a full spectrum of analytics use cases which very few companies in the world provide. This creates a unique challenge and opportunity for professionals to learn and contribute, at the same time solve a 2 billion+ problem.
Analytics and data science are core to Lenskart’s business across several aspects: retail & store analytics, digital & e-commerce analytics, marketing analytics, supply chain analytics, customer service, text analytics and more.

While the DS team works centrally, we are deeply embedded with the functional teams and have a very strong say in the operational strategy.
We are looking for strong Data Scientist to work on Advanced Analytics use cases who will enable the use of advanced analytics for the area of Customer analytics, Marketing analytics, Text analytics for helping improve marketing ROI and
customer experience

Key Responsibilities :

• Analyze the customer base and build a strong customer segmentation framework to look at our customer base in a strategic manner

• Leverage customer data to build churn models , propensity models etc. to increase the efficiency of our marketing spend working closely with the channel teams on campaign optimization

• Leverage customer chat data for applications in text analytics such as sentiment analysis, NPS prediction, topic modelling etc.

• Ability to translate advance analytics problems into a ML model (deep learning, decision trees, Random forest, GBM, Bayesian models, etc.)

• Experience using machine learning libraries or platforms such as Tensorflow, Scikit-Learn, Spark ML, Python, SQL, Redshift, Knowledge of AWS environment.

• Knowledge of MMM Modelling and MTA Modelling is good to have.

• Experience in Retail, Ecommerce, Marketing advance analytics ML problems is must with deep understanding of one area.
  
  Strong analytical and communication skills. Should be self-driven, highly motivated and ability to learn quick.

• Strong understanding of analytics needs and proactive-ness to build generic solutions to improve the efficiency.

• Lead/Work with many global teams, communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.

• Strong project management and communication skills . Excel / Power Point / Agile /Jira experience.

• 
  Most importantPassion for solving business problems with use of algorithms, analytics and technology.

Education

Bachelor’s / Master’s Degree or Equivalent with 1-3 years of experience in Advanced Analytics roles with background in Computer science or statistics from Tier 1 / 2 colleges with strong academics.

LocationNCR, Bangalore

As the Scientist, Data Science, you’ll be responsible for designing and developing analytical experiments in a methodical manner, and regularly evaluate alternate models via various data science approaches to support strategic initiatives and ongoing business processes for XPO Logistics. On our team, you will have the support to excel at work, and the resources to build a career you can be proud of.

What you’ll do on a typical day:

• Conceive and develop end-to-end solutions focused on Data Science and Engineering using Machine Learning & Deep Learning Algorithms, Statistical Concepts, Data modelling, Software Development, Cloud Computing, and Visualizations
• Troubleshoot technical issues in existing processes and current development work; solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines
• Understand and improve shared standard patterns, templates, and artifacts for data science platform architecture, data science development approaches, data models, new technology adoption, and rollout
• Collaborate with upstream and downstream IT and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution delivery
• Mentor other team members on technical skills, best practices, problem solving approaches, and standard patterns used at XPO Logistics
• Proactively generalize and share technical approaches and best practices among other developers, and simplify and communicate completed work to broader audiences across the company
• Help support data consumers to ensure they have reliable access to trusted data. This includes periodic responsibility for 24×7 on call production support

What you need to succeed at XPO:

At a minimum, you’ll need:

• Bachelor’s degree or equivalent related work or military experience
• 1 year of experience in delivering business solutions that rely on data science, data analytics, business intelligence, data warehousing, or similar domains

It’d be great if you also have:

• Advanced knowledge of IT software development methodologies and processes in an agile environment a plus
• Strong understanding of advanced statistics to develop/drive analysis around large structured and unstructured data sets
• Ability to design and communicate models to both technical and non-technical audience by profiling sample data, reverse engineering undocumented or partially documented source system schemas, soliciting requirements from subject matter experts and business users, or synthesizing understanding form documentation and examples

Be part of something big.

XPO is a leading provider of world-class solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make XPO a great place to work.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed.Review XPO’s candidate privacy statement here.

An Associate Machine Learning (ML) Scientist at Wadhwani AI will build scientifically rigorous and robustly evaluated AI solutions that will be deployed in order to bring AI to the benefit of underserved billions across the developing world.

ROLES AND RESPONSIBILITIES

As an Associate ML Scientist, you will be responsible for building robust machine learning solutions to problems of societal importance, usually under the guidance of senior ML scientists. You will participate in translating a problem in the social sector to a well-defined AI problem, in the development and execution of algorithms and solutions to the problem, in the successful and scaled deployment of the AI solution, and in defining appropriate metrics to evaluate the effectiveness of the deployed solution.

In order to apply machine learning for social good, you will need to understand user challenges and their context, curate and transform data, train and validate models, run simulations, and broadly derive insights from data. In doing so, you will work in cross-functional teams spanning ML modeling, engineering, product, and domain experts. You will also interface with social sector organizations as appropriate.

REQUIREMENTS

Associate ML scientists will have a strong academic background in a quantitative field (see below) at the Bachelor’s or Master’s level, with project experience in applied machine learning. They will possess demonstrable skills in coding, data mining and analysis, and building and implementing ML or statistical models. Where needed, they will have to learn and adapt to the requirements imposed by real-life, scaled deployments.

Candidates should have excellent communication skills and a willingness to adapt to the challenges of doing applied work for social good.

DESIRED QUALIFICATIONS

• B.Tech./B.E./B.S./M.Tech./M.E./M.S./M.Sc. or equivalent in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, Economics, or a relevant quantitative field. Work experience beyond the terminal degree will determine the appropriate seniority level.
• Solid software engineering skills across one or multiple languages including Python, C++, Java.
• Interest in applying software engineering practices to ML projects.
• Track record of project work in applied machine learning. Experience in applying AI models to concrete real-world problems is a plus.
• Strong verbal and written communication skills in English.

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Data Scientist I

Professional Experience: 1-3 years

Location: Bangalore

Required Skills:

• Prior experience developing deep learning models for computer vision applications. Hands on experience in areas like image classification, object detection and instance segmentation.
• Understanding of deep learning fundamentals including network architectures, training artefacts, overfitting and regularisation in neural networks, batch normalisation and so on.
• Proficiency in python.
• Proficiency in numpy and opencv.
• Proficient in at least one of the deep learning frameworks e.g. PyTorch, MxNet or Tensorflow.
• Familiarity contributing and maintaining code in github.
• Understanding of SQL and docker technology is a bonus.

Responsibilities:

• Contribute across different stages of deep learning model development including data collection, data cleaning, model development, validation and deployment.
• Develop deep learning models for a wide variety of tasks spanning object detection, segmentation, tracking, synthesise and so on.
• Continuously improve the quality and performance of existing deep learning models by applying latest research in the field.
• Contribute in developing models in areas like self-supervised and semi-supervised learning

Educational Background

B.Tech/M.Tech (Optional), B.Sc./M.Sc., Computer Science, Maths, Statistics or equivalent field

Data Scientist I

Professional Experience: 1-3 years

Location: Bangalore

Required Skills:

• Prior experience developing deep learning models for computer vision applications. Hands on experience in areas like image classification, object detection and instance segmentation.
• Understanding of deep learning fundamentals including network architectures, training artefacts, overfitting and regularisation in neural networks, batch normalisation and so on.
• Proficiency in python.
• Proficiency in numpy and opencv.
• Proficient in at least one of the deep learning frameworks e.g. PyTorch, MxNet or Tensorflow.
• Familiarity contributing and maintaining code in github.
• Understanding of SQL and docker technology is a bonus.

Responsibilities:

• Contribute across different stages of deep learning model development including data collection, data cleaning, model development, validation and deployment.
• Develop deep learning models for a wide variety of tasks spanning object detection, segmentation, tracking, synthesise and so on.
• Continuously improve the quality and performance of existing deep learning models by applying latest research in the field.
• Contribute in developing models in areas like self-supervised and semi-supervised learning

Educational Background

B.Tech/M.Tech (Optional), B.Sc./M.Sc., Computer Science, Maths, Statistics or equivalent field

Who We Are

Nao Medical aims on providing comprehensive medical care to our patients and our community with a
focus on respect, transparency, and compassion. With a vision to refocus healthcare from reactive to
proactive, Nao Medical aims to lead the industry through excellent care, simple & innovative
technology, and a holistically integrated app to reach patients across our physical locations. Our
software aims to be the complete solution integrating EMR functionality, customer appointment and
feedback, billing, labs, and many more features into a single application. Join us in our mission to
revolutionize healthcare.

Job brief

We are looking for an experienced Data Analyst to support the Nao Medical tech platform. As a Data
Analyst you’ll be working with and manipulating large data sets to extrapolate key insights that will help
us improve the services that we offer to our patients. You’ll also be building relationships and partnering
with cross-functional stakeholders, technical and non-technical, to put data-driven solutions into place.

Responsibilities

 Create and/or support scalable frameworks, standards and data best practices while
upholding integrity and privacy across our data ecosystem and lifecycle
 Document and implement data policies, standards, and procedures for both legacy and new
data environments
 Work with engineering teams to ensure complete data lineage is captured and managed for
our data of record
 Work closely with product owners to understand the metrics that drive the growth of
business, and partner with them to fill any gaps.
 Architect and develop end-to-end interactive analytics solutions
 Design and develop dashboards that tell a story

Requirements:

 Bachelor’s degree required, Master’s degree preferred
 2-5 years of relevant experience
 Technical curiosity as demonstrated in or outside of work
 Ability to communicate effectively with technical and non-technical individuals
 Proficiency in Python and with data analytics libraries like pandas
 Confidence working directly with databases and building complex yet efficient SQL queries
 Ability to solve problems creatively and effectively
 A clear communicator with a knack for making complex things simple

Job Description Summary

The Data scientist will work in teams addressing statistical and machine learning problems in Contractual Services Agreement (CSA) / Technologies or consultancy development environment. In this role, the person will contribute to the development and deployment of modern machine learning, deep-learning, statistical methods, semantic analysis for finding structure in large data sets.

Job Description

Essential Responsibilities

The Data Scientist will be a part of Contractual Services Agreement (CSA) & Technologies working on projects typically involving large, complex data sets. Develop data science models to address product and services engineering teams needs and opportunities. Work alongside software developers and software engineers to translate algorithms into viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics including image analytics. Perform exploratory and targeted data analysis using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics. Generate reports, annotated code, and other projects artifacts to document, archive, and communicate the work and outcomes. Share and discuss findings with team members.

Roles and Responsibilities

Education Qualification

• Bachelor’s Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) plus minimum 1 year of analytics development experience in Data Science
• Demonstrated skill in the use of Python and / or other analytic software tools or languages
• Demonstrated skill at data cleansing, data quality assessment, and using analytics for solving business problems
• Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
• Demonstrated skill at data visualization and storytelling for an audience of stakeholders
• Strong communication and interpersonal skills
• Demonstrated awareness of feature extraction and real-time analytics methods
• Demonstrated awareness of analytic prototyping, analytic scaleup, analytic scaling, and solutions integration

Desired Characteristics•

Additional Information