Data Scientist

at Episource

Data Scientist

Episource

Company

Home

Data Scientist

at Episource

Posted by Manas Ranjan Kar

4 - 8 yrs

₹12L - ₹20L / yr

Mumbai

Skills

Python

Machine Learning (ML)

Data Science

Amazon Web Services (AWS)

Apache Spark

Natural Language Processing (NLP)

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap
Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs
Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists
Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space
Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience
Knowledge of deep learning & NLP
Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.
Experience with GPU computing is a plus.
Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.
Expert-level experience with a wide range of quantitative methods that can be applied to business problems.
Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.
Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.
Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization
Expert-level experience with machine learning that can be applied to business problems
Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization
Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling
Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)
5+ years of industry experience in data science and machine learning, preferably at a software product company
3+ years of experience managing data science teams, incl. managing/grooming managers beneath you
3+ years of experience partnering with executive staff on data topics

What you will achieve:

Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap
Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs
Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists
Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space
Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience
Knowledge of deep learning & NLP
Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.
Experience with GPU computing is a plus.
Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.
Expert-level experience with a wide range of quantitative methods that can be applied to business problems.
Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.
Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.
Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization
Expert-level experience with machine learning that can be applied to business problems
Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization
Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling
Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)
5+ years of industry experience in data science and machine learning, preferably at a software product company
3+ years of experience managing data science teams, incl. managing/grooming managers beneath you
3+ years of experience partnering with executive staff on data topics

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About Episource

Founded :

2006

Type :

Product

Size :

500-1000

Stage :

Profitable

About

Episource is driven to collect data that’s insightful and accurate. With innovative technology and a global services model, we offer intuitive analytics to impact meaningful growth. From robust Risk Adjustment Analytics, Retrospective Chart Reviews, Quality Reporting, Encounter Data Submissions, and Clinical Services, Episource starts with the smallest of details and translates them to create better patient insights around disease profiles and care gaps. We know that behind each chart and every code is a real person. Humanity is our binding element, and we have your members in mind.

Manas Ranjan Kar

Nipun Sadvilkar

Prakshi Yadav

Surendra Mali

Tahir Ahmad

padmavathy murugan

James Stephen

Manas Kar

Ahamed Riaz

AnandaPrabhu DakshinaMoorthy

Connect

Ashraff Shaik

Connect

Company social profiles

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ALTERNATE TITLES Recruitment Consultant- Freelance
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We offer competitive compensation and benefits.

NodeJS Developer

at eNoah iSolution

1 video

6 recruiters

Posted by Karthika K

Remote, Chennai

4 - 11 yrs

₹6L - ₹15L / yr

NodeJS (Node.js)

Javascript

MongoDB

Express

React.js

Roles and Responsibilities:

6+ Experience in Node.js, React Js

excellent written and verbal communication skill

Healthy team and relationship building skills
Hands-on experience delivering web applications in the cloud to on-demand production clients
Experience in JavaScript, OOP Patterns, ES6, HTML, CSS, LESS
Experience with MS Sql Server, Mongo DB
Experience with SSO, SAML, OAuth, JWT for API and Web Session Authentication and Authorization
Experience with Azure Devops platform will be an added advantage
Experience with test and/or process automation, source control
Possess solid debugging process and exhibit technical intuition

Roles and Responsibilities:

6+ Experience in Node.js, React Js

excellent written and verbal communication skill

Healthy team and relationship building skills
Hands-on experience delivering web applications in the cloud to on-demand production clients
Experience in JavaScript, OOP Patterns, ES6, HTML, CSS, LESS
Experience with MS Sql Server, Mongo DB
Experience with SSO, SAML, OAuth, JWT for API and Web Session Authentication and Authorization
Experience with Azure Devops platform will be an added advantage
Experience with test and/or process automation, source control
Possess solid debugging process and exhibit technical intuition

MEAN Stack Developer

at DXMINDS INNOVATION LABS

3 recruiters

Posted by Deepa J

Bengaluru (Bangalore)

3 - 8 yrs

₹3L - ₹8L / yr

MEAN stack

NodeJS (Node.js)

MongoDB

AngularJS (1.x)

Relevant Experience: 2-6 yrs

Hands on Experience and manage Node js, Mongo DB, Angular and Express js.
Architect, Develop, test and deploy robust products that are fast, scalable and highly responsive
Design and maintain large and complex databases, both relational and non-relational databases.
Establish, refine and integrate development environment tools and software as needed
Deploy applications on AWS cloud with ability to quickly debug hosting related issues.
Expertise in Complete Mean, Node js, Mongo DB, Angular and Express js
Strong analytical and problem solving skills

Relevant Experience: 2-6 yrs

Hands on Experience and manage Node js, Mongo DB, Angular and Express js.
Architect, Develop, test and deploy robust products that are fast, scalable and highly responsive
Design and maintain large and complex databases, both relational and non-relational databases.
Establish, refine and integrate development environment tools and software as needed
Deploy applications on AWS cloud with ability to quickly debug hosting related issues.
Expertise in Complete Mean, Node js, Mongo DB, Angular and Express js
Strong analytical and problem solving skills

Marketing Head (CMO)

at Studysid

1 recruiter

Posted by Parth Shah

Mumbai

1 - 3 yrs

₹5L - ₹7L / yr

Marketing

Marketing Strategy

Growth Hacking

Salesforce Management

Marketing & Communication

Looking to scale up the start up after closing the second round of funds. Job Description: 1. Understand the current product, and effective techniques to solve the complexities and challenges. 2. Add new ideas, and come up with ancillary products for the same. 3. Manage a team, track, optimise and improvise. Take data-driven decisions.

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