Director Data Science

at Health Care MNC

icon
Pune
icon
12 - 24 yrs
icon
₹35L - ₹60L / yr
icon
Full time
Skills
Data Science
Python
C++
Java
Amazon Web Services (AWS)
Natural Language Processing (NLP)
The Director for Data Science will support building of AI products in Agile fashion that
empower healthcare payers, providers and members to quickly process medical data to
make informed decisions and reduce health care costs. You will be focusing on research,
development, strategy, operations, people management, and being a thought leader for
team members based out of India. You should have professional healthcare experience
using both structured and unstructured data to build applications. These applications
include but are not limited to machine learning, artificial intelligence, optical character
recognition, natural language processing, and integrating processes into the overall AI
pipeline to mine healthcare and medical information with high recall and other relevant
metrics. The results will be used dually for real-time operational processes with both
automated and human-based decision making as well as contribute to reducing
healthcare administrative costs. We work with all major cloud and big data vendors
offerings including (Azure, AWS, Google, IBM, etc.) to achieve our goals in healthcare and
support 
The Director, Data Science will have the opportunity to build a team, shape team culture
and operating norms as a result of the fast-paced nature of a new, high-growth
organization.

• Strong communication and presentation skills to convey progress to a diverse group of stakeholders
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real-time streaming applications, DevOps and product delivery
• Experience building stakeholder trust and confidence in deployed models especially via application of the algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• Provide mentoring to data scientists and machine learning engineers as well as career development
• Meet project related team members for individual specific needs on a regular basis related to project/product deliverables
• Provide training and guidance for team members when required
• Provide performance feedback when required by leadership

The Experience You’ll Need (Required):
• MS/M.Tech degree or PhD in Computer Science, Mathematics, Physics or related STEM fields
• Significant healthcare data experience including but not limited to usage of claims data
• Delivered multiple data science and machine learning projects over 8+ years with values exceeding $10 Million or more and has worked on platform members exceeding 10 million lives
• 9+ years of industry experience in data science, machine learning, and artificial intelligence
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real time streaming applications, DevOps, and product delivery
• Knows how to solve and launch real artificial intelligence and data science related problems and products along with managing and coordinating the
business process change, IT / cloud operations, meeting production level code standards
• Ownerships of key workflows part of data science life cycle like data acquisition, data quality, and results
• Experience building stakeholder trust and confidence in deployed models especially via application of algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research, and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• 3+ Years of experience managing directly five (5) or more senior level data scientists, machine learning engineers with advanced degrees and directly
made staff decisions

• Very strong understanding of mathematical concepts including but not limited to linear algebra, advanced calculus, partial differential equations, and
statistics including Bayesian approaches at master’s degree level and above
• 6+ years of programming experience in C++ or Java or Scala and data science programming languages like Python and R including strong understanding of
concepts like data structures, algorithms, compression techniques, high performance computing, distributed computing, and various computer architecture
• Very strong understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification, and
regressions, SVM, trees, model evaluations with several projects over 3+ years
• Very strong understanding and experience in Natural Language Processing,
reasoning, and understanding, information retrieval, text mining, search, with
3+ years of hands on experience
• Experience with developing and deploying several products in production with
experience in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the
following cloud vendors like AWS, Azure, and Google
• Three plus (3+) years hands on experience with MapR \ Cloudera \ Databricks
Big Data platform with Spark, Hive, Kafka etc.
• Three plus (3+) years of experience with high-performance computing like
Dask, CUDA distributed GPU, TPU etc.
• Presented at major conferences and/or published materials
Read more
Why apply to jobs via Cutshort
Personalized job matches
Stop wasting time. Get matched with jobs that meet your skills, aspirations and preferences.
Verified hiring teams
See actual hiring teams, find common social connections or connect with them directly. No 3rd party agencies here.
Move faster with AI
We use AI to get you faster responses, recommendations and unmatched user experience.
2101133
Matches delivered
3712187
Network size
15000
Companies hiring

Similar jobs

Lead Engineer - Data Quality

at Leading Sales Platform

Agency job
via Qrata
Big Data
ETL
Spark
Data engineering
Data governance
Informatica Data Quality
Java
Scala
Python
icon
Bengaluru (Bangalore)
icon
5 - 10 yrs
icon
₹30L - ₹45L / yr
Work with product managers and development leads to create testing strategies · Develop and scale automated data validation framework · Build and monitor key metrics of data health across the entire Big Data pipelines · Early alerting and escalation process to quickly identify and remedy quality issues before something ever goes ‘live’ in front of the customer · Build/refine tools and processes for quick root cause diagnostics · Contribute to the creation of quality assurance standards, policies, and procedures to influence the DQ mind-set across the company
Required skills and experience: · Solid experience working in Big Data ETL environments with Spark and Java/Scala/Python · Strong experience with AWS cloud technologies (EC2, EMR, S3, Kinesis, etc) · Experience building monitoring/alerting frameworks with tools like Newrelic and escalations with slack/email/dashboard integrations, etc · Executive-level communication, prioritization, and team leadership skills
Read more
Job posted by
Blessy Fernandes

Machine Learning Engineer

at Contact Center software that leverages AI to improve custome

Agency job
via Qrata
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Amazon Web Services (AWS)
Python
Java
Big Data
C#
TensorFlow
icon
Bengaluru (Bangalore)
icon
4 - 8 yrs
icon
₹17L - ₹40L / yr
Role: Machine Learning Engineer

As a machine learning engineer on the team, you will
• Help science and product teams innovate in developing and improving end-to-end
solutions to machine learning-based security/privacy control
• Partner with scientists to brainstorm and create new ways to collect/curate data
• Design and build infrastructure critical to solving problems in privacy-preserving machine
learning
• Help team self-organize and follow machine learning best practice.

Basic Qualifications

• 4+ years of experience contributing to the architecture and design (architecture, design
patterns, reliability and scaling) of new and current systems
• 4+ years of programming experience with at least one modern language such as Java,
C++, or C# including object-oriented design
• 4+ years of professional software development experience
• 4+ years of experience as a mentor, tech lead OR leading an engineering team
• 4+ years of professional software development experience in Big Data and Machine
Learning Fields
• Knowledge of common ML frameworks such as Tensorflow, PyTorch
• Experience with cloud provider Machine Learning tools such as AWS SageMaker
• Programming experience with at least two modern language such as Python, Java, C++,
or C# including object-oriented design
• 3+ years of experience contributing to the architecture and design (architecture, design
patterns, reliability and scaling) of new and current systems
• Experience in python
• BS in Computer Science or equivalent
Read more
Job posted by
Rayal Rajan

Machine Learning Engineer - NLP

at Leena AI

Founded 2015  •  Product  •  20-100 employees  •  Raised funding
Natural Language Processing (NLP)
Machine Learning (ML)
Data Science
Data Analytics
icon
Remote only
icon
2 - 8 yrs
icon
₹25L - ₹40L / yr

Responsibilities: 

  • Improve robustness of Leena AI current NLP stack 
  • Increase zero shot learning capability of Leena AI current NLP stack 
  • Opportunity to add/build new NLP architectures based on requirements 
  • Manage End to End lifecycle of the data in the system till it achieves more than 90% accuracy 
  • Manage a NLP team 

Page BreakRequirements: 

  • Strong understanding of linear algebra, optimisation, probability, statistics 
  • Experience in the data science methodology from exploratory data analysis, feature engineering, model selection, deployment of the model at scale and model evaluation 
  • Experience in deploying NLP architectures in production 
  • Understanding of latest NLP architectures like transformers is good to have 
  • Experience in adversarial attacks/robustness of DNN is good to have 
  • Experience with Python Web Framework (Django), Analytics and Machine Learning frameworks like Tensorflow/Keras/Pytorch. 
Read more
Job posted by
Preethi Gothandam

Azure Data Engineer

at Marktine

Founded 2014  •  Products & Services  •  20-100 employees  •  Bootstrapped
Big Data
Spark
PySpark
Data engineering
Data Warehouse (DWH)
Windows Azure
Python
SQL
Scala
Azure databricks
icon
Remote, Bengaluru (Bangalore)
icon
3 - 6 yrs
icon
₹10L - ₹20L / yr

Azure – Data Engineer

  • At least 2 years hands on experience working with an Agile data engineering team working on big data pipelines using Azure in a commercial environment.
  • Dealing with senior stakeholders/leadership
  • Understanding of Azure data security and encryption best practices. [ADFS/ACLs]

Data Bricks –experience writing in and using data bricks Using Python to transform, manipulate data.

Data Factory – experience using data factory in an enterprise solution to build data pipelines. Experience calling rest APIs.

Synapse/data warehouse – experience using synapse/data warehouse to present data securely and to build & manage data models.

Microsoft SQL server – We’d expect the candidate to have come from a SQL/Data background and progressed into Azure

PowerBI – Experience with this is preferred

Additionally

  • Experience using GIT as a source control system
  • Understanding of DevOps concepts and application
  • Understanding of Azure Cloud costs/management and running platforms efficiently
Read more
Job posted by
Vishal Sharma

Data Engineer

at software and consultancy company

Agency job
via Exploro Solutions
Amazon Web Services (AWS)
ETL
Informatica
Data Warehouse (DWH)
SQL
icon
Bengaluru (Bangalore), Chennai
icon
6 - 8 yrs
icon
₹12L - ₹30L / yr

Primary Skills

 6 to 8 years of relevant work experience in ETL tools

 Good knowledge working in AWS Cloud Data Bases like Aurora DB and ecosystem and tools (AWS DMS)

Migrating databases to AWS Cloud would be Mandatory

Sound knowledge of SQL and procedural language.

Possess solid experience of writing complex SQL queries and optimizing SQL query performance

Knowledge of data ingestion one-off feed, change data capture, incremental batch

 

Additional Skills :

Experience in Unix/Linux systems and writing shell scripts would be nice to have

Java knowledge would be an added advantage

Knowledge in Spark Python for building ETL pipelines on cloud would be preferable

Read more
Job posted by
ramya ramchandran

Data Scientist

at Healthcare IT company in Navi Mumbai

Agency job
via Credos
Natural Language Processing (NLP)
Predictive modelling
Data Science
Python
Machine Learning (ML)
RCM
Agile/Scrum
icon
Navi Mumbai, Mumbai
icon
9 - 12 yrs
icon
₹20L - ₹25L / yr
My client is a leading healthcare IT services company and looking for a Data Scientist for their Mumbai location. This role will be in their product division.

This is NOT remote work position and the selected candidate is expected to commute to the office location in Navi Mumbai.

Job Description

  • Implement and deliver a product in the healthcare domain using machine learning and AI capabilities
  • Ability to work on challenging tasks
  • Ability to research ways of doing things efficiently
  • Keen approach to problem solving
  • Strong experience in statistics, python, SQL, NLP and predictiv modeling

Basic Qualifications

  • Bachelors Degree with a total of 9+ years of experience in software development with 2-3 years experience in Data Science
  • Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding
  • Well versed with necessary data preprocessing and feature engineering skills
  • Background in healthcare IT space will be preferred
Read more
Job posted by
Satish Rao
Data engineering
Apache Kafka
Apache Spark
Hadoop
apache flink
kafka
flink
data analysis
non sql
Spark
Scala
Java
icon
Mumbai, Navi Mumbai
icon
3 - 8 yrs
icon
₹7L - ₹13L / yr
Build data systems and pipelines using Apache Flink (or similar) pipelines.
Understand various raw data input formats, build consumers on Kafka/ksqldb for them and ingest large amounts of raw data into Flink and Spark.
Conduct complex data analysis and report on results.
Build various aggregation streams for data and convert raw data into various logical processing streams.
Build algorithms to integrate multiple sources of data and create a unified data model from all the sources.
Build a unified data model on both SQL and NO-SQL databases to act as data sink.
Communicate the designs effectively with the fullstack engineering team for development.
Explore machine learning models that can be fitted on top of the data pipelines.

Mandatory Qualifications Skills:

Deep knowledge of Scala and Java programming languages is mandatory
Strong background in streaming data frameworks (Apache Flink, Apache Spark) is mandatory
Good understanding and hands on skills on streaming messaging platforms such as Kafka
Familiarity with R, C and Python is an asset
Analytical mind and business acumen with strong math skills (e.g. statistics, algebra)
Problem-solving aptitude
Excellent communication and presentation skills
Read more
Job posted by
Sonali Kamani

Data Scientist

at Kaleidofin

Founded 2018  •  Products & Services  •  100-1000 employees  •  Profitable
Data Science
Machine Learning (ML)
Statistical Modeling
R Programming
Python
icon
Chennai
icon
2 - 7 yrs
icon
₹10L - ₹30L / yr

Key Responsibilities:

  • Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
  • Good understanding of the underlying business and workings of cross functional teams for successful execution
  • Design and develop analyses based on business requirement needs and challenges.
  • Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
  • Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
  • Identify and use appropriate investigative and analytical technologies to interpret and verify results.
  • Apply and learn a wide variety of tools and languages to achieve results
  • Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
  • Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
  • Innovate on projects by using new modeling techniques or tools.
  • Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
  • Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

 

Skills:

  • 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
  • Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
  • Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
  • Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
  • Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
  • Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
  • Experience in risk and credit scoring domains preferred
Read more
Job posted by
Pragya Gupta

Backend Engineer

at OLA

Agency job
via zyoin
Big Data
Python
Java
Spring
Distributed Systems
Microservices
icon
Remote, Bengaluru (Bangalore)
icon
8 - 12 yrs
icon
₹30L - ₹50L / yr
13+ years of relevant experience with at least 6+ years hands-on coding in the big
data domain.
● Should have experience in architecting data ecosystem for streaming data and
analytical platforms.
● Expert level experience in building fault-tolerant & scalable big-data platforms and
big-data solutions primarily based on the Hadoop ecosystem.
● Expert level experience with Java, Python or Scala programming.
● Expert level experience designing high throughput data services.
● Familiarity with machine learning and AI.
● Experience with Big-Data Technologies (Hive, HBase, Spark, Kafka, Storm,
MapReduce, HDFS, Zookeeper, Scylla, Cassandra, Yarn), understands the
concepts and technology ecosystem around both real-time and batch processing in
Hadoop.
● Strong spoken and written communication skills.
● B.E/B.Tech/MS in Computer Science (or equivalent).
● Effective listening skills and strong collaboration
Read more
Job posted by
Shelly Biswas

Data Engineer

at Pluto Seven Business Solutions Pvt Ltd

Founded 2017  •  Products & Services  •  20-100 employees  •  Raised funding
MySQL
Python
Big Data
Google Cloud Storage
API
SQL Query Analyzer
Relational Database (RDBMS)
Agile/Scrum
icon
Bengaluru (Bangalore)
icon
3 - 9 yrs
icon
₹6L - ₹18L / yr
Data Engineer: Pluto7 is a services and solutions company focused on building ML, Ai, Analytics, solutions to accelerate business transformation. We are a Premier Google Cloud Partner, servicing Retail, Manufacturing, Healthcare, and Hi-Tech industries.We’re seeking passionate people to work with us to change the way data is captured, accessed and processed, to make data driven insightful decisions. Must have skills : Hands-on experience in database systems (Structured and Unstructured). Programming in Python, R, SAS. Overall knowledge and exposure on how to architect solutions in cloud platforms like GCP, AWS, Microsoft Azure. Develop and maintain scalable data pipelines, with a focus on writing clean, fault-tolerant code. Hands-on experience in data model design, developing BigQuery/SQL (any variant) stored. Optimize data structures for efficient querying of those systems. Collaborate with internal and external data sources to ensure integrations are accurate, scalable and maintainable. Collaborate with business intelligence/analytics teams on data mart optimizations, query tuning and database design. Execute proof of concepts to assess strategic opportunities and future data extraction and integration capabilities. Must have at least 2 years of experience in building applications, solutions and products based on analytics. Data extraction, Data cleansing and transformation. Strong knowledge on REST APIs, Http Server, MVC architecture. Knowledge on continuous integration/continuous deployment. Preferred but not required: Machine learning and Deep learning experience Certification on any cloud platform is preferred. Experience of data migration from On-Prem to Cloud environment. Exceptional analytical, quantitative, problem-solving, and critical thinking skills Excellent verbal and written communication skills Work Location: Bangalore
Read more
Job posted by
Sindhu Narayan
Did not find a job you were looking for?
icon
Search for relevant jobs from 10000+ companies such as Google, Amazon & Uber actively hiring on Cutshort.
Get to hear about interesting companies hiring right now
iconFollow Cutshort
Want to apply to this role at Health Care MNC?
Why apply via Cutshort?
Connect with actual hiring teams and get their fast response. No spam.
Learn more
Get to hear about interesting companies hiring right now
iconFollow Cutshort