Data Scientist

Department Icon Data Science Analytics & Machine Learning
Posted: 1 year ago
1-3 years
Hospet, Karnataka
Data Science Analytics & Machine Learning
Work from Office
Full Time

Posted: 1 year ago
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Job Description

Experience: 1.00 + years

Salary: INR 2000000 / year (based on experience)

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Hybrid (Bengaluru)

Placement Type: Full time Permanent Position

(*Note: This is a requirement for one of Uplers client - Healthplix Technologies)

What do you need for this opportunity

Must have skills required:

Data Visualization, SQL, MySQL, Python, machine learning, Statistics, GIT, Tableau, NLP, TensorFlow, Pandas, Scikit, LLM, whisper, riva, wav2vec

Healthplix Technologies is Looking for:

About HealthPlix :

HealthPlix is an innovative Health-Tech company, bringing technology to the heart of healthcare - doctors. Using assistive AI-powered EMR software, HealthPlix empowers doctors to drive better health outcomes for their patients by providing clinical decision support at the point of care.

Currently, 16million+ patients across India have been treated through the HealthPlix EMR platform by doctors practicing across 16+ specialties. HealthPlixs doctor base and network span across 370+ cities in India making it the largest EMR software used by doctors to digitize the care in Indian healthcare.

Headquartered in Bangalore, HealthPlix began its operations in 2014The company is backed by marquee investors like Lightspeed Ventures, Chiratae Venture, Kalaari Capital and JSW Ventures. In 2021 HealthPlix raised $13.5 million as part of its ongoing Series B funding from Lightspeed Ventures and JSW Ventures.

:

The Junior Data Scientist will work with cross-functional teams across Data Science, Product and Sales teams. As a Junior Data Scientist, you will be supporting the development and deployment of data-driven solutions to solve complex business problems. You will work closely with senior data scientists, data engineers, and cross-functional teams to extract actionable insights from data, build predictive models, and contribute to the overall data strategy of the organization. High level of integrity is a key requirement as we are dealing with extremely sensitive and confidential healthcare data.

Responsibilities :

  • Collect, clean, and preprocess data from various sources and databases.
  • Processing confidential data and information according to guidelines.
  • Implement statistical and machine learning algorithms for predictive modeling.
  • Conduct model testing and validation, including performance evaluation.
  • Converting business requirements from client to data-driven output
  • Collaborate effectively with cross-functional teams, including data engineers and business analysts.
  • Take initiative to learn and experiment with new techniques and tools.

Requirements :

  • Bachelors degree from a reputed Engineering college.
  • 1-3 years of work experience in data Science, preferably in a startup.
  • Experience with data visualization tools (e. g., Matplotlib, Seaborn, Tableau).
  • Proficiency in using query languages such as SQL and experience of working with relational and non relational databases like MySQL, Postgres, Presto, and Mongo (Athena/redshift experience is an added advantage).
  • Proficiency in any modern BI tools like Tableau
  • Understanding of Python for Data pre-processing/building models using Numpy, Pandas, Scikit, and Tensorflow. NLP and LLM understanding is good to have.
  • Understanding of Basic Statistics.
  • Previous experience with version control systems (e. g., Git).
  • High-level written and verbal communication skills.

Why Explore a Career at HealthPlix :

HealthPlix was born with a vision to drive better health outcomes at a population level. Just as a doctors journey starts with a passion to impact society, our goal is to make a difference in healthcare through technology and empower doctors in the process.

Today, we are a 400+ strong team of learners and leaders who share their passion for healthcare. The only thing that hasnt changed is an inherent belief in the core values that continue to inspire who we are and what we do today.

How to apply for this opportunity

  • Register or login on our portal & fill out the application form.
  • Clear the given AI Interview (30 min) and Click on Apply to get shortlisted
  • Once its all done, your profile will be shared with the client for the Interview round.
  • When selected, just meet the client and get your exciting career started!

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, dont hesitate to apply today. We are waiting for you!

Skills

Data VisualizationPythonData ScienceMachine LearningPredictive ModelingMysqlVisualizationData ScientistAiSql

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About Company

Uplers is a global outsourcing company that specializes in providing digital services and end-to-end web design and development solutions to businesses worldwide. Established with the vision to bridge the gap between talented offshore professionals and global businesses seeking expertise, Uplers has carved out a niche in the digital services industry. The company offers a comprehensive suite of services including web development, email marketing, search engine optimization (SEO), and digital marketing, with a strong emphasis on delivering high-quality and scalable solutions.


Headquartered in Sydney, Australia, with additional offices in the United States, United Kingdom, and India, Uplers leverages a unique model of remote work and team augmentation to serve clients across different geographies and industries. Their approach combines the agility and flexibility of a remote workforce with the reliability and communication standards of in-house teams.

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