Director Data Science

Company Profile:

The company is World's No1 Global management consulting firm.

What You’ll Do:

• Accurate translation of business needs into a conceptual and technical architecture design of AI models and solutions
• Collaboration with developers and engineering teams resolving challenging tasks and ensuring proposed design is properly implemented
• Strategy for managing the changes to the AI models (new business needs, technology changes, model retraining, etc.)
• Collaborate with business partners and clients for AI solutioning and use cases. Provide recommendations to drive alignment with business teams
• Define and implement evaluation strategies for each model, demonstrate applicability and performance of the model, and identify its limits
• Design complex system integrations of AI technologies with API-driven platforms, using best practices for security and performance
• Experience in languages, tools & technologies such as Python, Tensorflow, Pytorch, Kubernetes, Docker, etc
• Experience with MLOps tools (like TFx, Tensorflow Serving, KubeFlow, etc.) and methodologies for CI/CD of ML models
• Proactively identify and address technical strengths, weaknesses, and opportunities across the AI and ML domain
• Strategic direction for maximizing simplification and re-use lowering overall TCO

What You’ll Bring:

• Minimum 10 years of hands-on experience in the IT field, at least 6+ years in  Data Science/ ML / AI implementation based Products and Solutions 
• Experience with Computer Vision - Vision AI  & Document AI
• Must be hands-on with Python programming language, MLOps, Tensorflow, Pytorch, Keras, Scikit, etc.,
• Well versed with deep learning concepts, computer vision, image processing, document processing, convolutional neural networks and data ontology applications
• Proven track record at execution of projects in agile & cross-functional teams
• Published research papers and represented in reputable AI conferences and the ability to lead and drive research mindset across the team
• Good to have experience with GCP / Microsoft Azure / Amazon Web Services
• Ph.D. or Masters in a quantitative field such as Computer Science, IT, Stats/Maths

What we offer:

• Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)
• Sum Insured: INR 5,00,000/- 
• Maternity cover upto two children
• Inclusive of COVID-19 Coverage
• Cashless & Reimbursement facility
• Access to free online doctor consultation

• Personal Accident Policy (Disability Insurance) -

• Sum Insured: INR. 25,00,000/- Per Employee
• Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
• Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
• Temporary Total Disability is covered

• An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver  benefit
• Monthly Internet Reimbursement of upto Rs. 1,000 
• Opportunity to pursue Executive Programs/ courses at top universities globally
• Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Google Cloud, Amazon & others.

The Biostrap platform extracts many metrics related to health, sleep, and activity.  Many algorithms are designed through research and often based on scientific literature, and in some cases they are augmented with or entirely designed using machine learning techniques.  Biostrap is seeking a Data Scientist to design, develop, and implement algorithms to improve existing metrics and measure new ones. 

As a Data Scientist at Biostrap, you will take on projects to improve or develop algorithms to measure health metrics, including:

• Research: search literature for starting points of the algorithm
• Design: decide on the general idea of the algorithm, in particular whether to use machine learning, mathematical techniques, or something else.
• Implement: program the algorithm in Python, and help deploy it.  

The algorithms and their implementation will have to be accurate, efficient, and well-documented.

• A Master’s degree in a computational field, with a strong mathematical background. 
• Strong knowledge of, and experience with, different machine learning techniques, including their theoretical background.  
• Strong experience with Python
• Experience with Keras/TensorFlow, and preferably also with RNNs
• Experience with AWS or similar services for data pipelining and machine learning.  
• Ability and drive to work independently on an open problem.
• Fluency in English.

• Adept at Machine learning techniques and algorithms.

Feature selection, dimensionality reduction, building and

• optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Doing ad-hoc analysis and presenting results
• Proficiency in using query languages such as N1QL, SQL

Experience with data visualization tools, such as D3.js, GGplot,

• Plotly, PyPlot, etc.

Creating automated anomaly detection systems and constant tracking

• of its performance
• Strong in Python is a must.
• Strong in Data Analysis and mining is a must
• Deep Learning, Neural Network, CNN, Image Processing (Must)

Building analytic systems - data collection, cleansing and

• integration

Experience with NoSQL databases, such as Couchbase, MongoDB,

Cassandra, HBase

Role and Responsibilities

• Build a low latency serving layer that powers DataWeave's Dashboards, Reports, and Analytics functionality
• Build robust RESTful APIs that serve data and insights to DataWeave and other products
• Design user interaction workflows on our products and integrating them with data APIs
• Help stabilize and scale our existing systems. Help design the next generation systems.
• Scale our back end data and analytics pipeline to handle increasingly large amounts of data.
• Work closely with the Head of Products and UX designers to understand the product vision and design philosophy
• Lead/be a part of all major tech decisions. Bring in best practices. Mentor younger team members and interns.
• Constantly think scale, think automation. Measure everything. Optimize proactively.
• Be a tech thought leader. Add passion and vibrance to the team. Push the envelope.

Skills and Requirements

• 8- 15 years of experience building and scaling APIs and web applications.
• Experience building and managing large scale data/analytics systems.
• Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good understanding of software design principles and architectural best practices.
• Be passionate about writing code and have experience coding in multiple languages, including at least one scripting language, preferably Python.
• Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision is right/wrong, and so on.
• Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
• Have experience working with multiple storage and indexing technologies such as MySQL, Redis, MongoDB, Cassandra, Elastic.
• Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ.
• Use the command line like a pro. Be proficient in Git and other essential software development tools.
• Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
• Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana, Graylog, StatsD, Datadog etc.
• Working knowledge of building websites and apps. Good understanding of integration complexities and dependencies.
• Working knowledge linux server administration as well as the AWS ecosystem is desirable.
• It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.