SEM

NEED TO HAVE :

1) Have some knowledge of front end like React.JS

2) HTML, CSS

3) Strong in Javascript concepts

4) Good communication skills

5) Loves to code

GOOD TO HAVE :

1) Experience with type script will be a plus

2) Experience with Nest.JS framework will be a plus

3) Strong hold on ES6 principles.

4) Familiar with TDD ( Test Driven Development ) will be a plus.

5) Familiar with working in CI / CD will be a plus

6) Micro-Service architecture knowledge will be an added benefit.

You can directly WhatsApp us on nine three one six one two zero one three two

Role & Responsibilities

·      Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources

·      Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns

·      Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling

·      Investigate and document data lineage — understanding where data originates, how it flows, and how it transforms across systems

·      Identify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams

·      Develop a deep understanding of the business domain and the underlying data that represents it — including what each field means, how it is captured, and what its limitations are

·      Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting

·      Apply statistical techniques such as correlation analysis, hypothesis testing, variance analysis, and distribution fitting to extract meaningful signals from noise

·      Build and deploy machine learning models including regression, classification, clustering, NLP, and time-series analysis

·      Design, evaluate, and analyze A/B experiments and controlled tests using causal inference techniques

·      Develop data-driven recommendations backed by rigorous statistical reasoning

·      Write clean, production-ready code in Python or R

·      Collaborate with data engineers to build reliable data pipelines and feature stores

·      Deploy and monitor ML models using MLOps best practices on cloud infrastructure

·      Build dashboards and self-serve analytics tools to support stakeholder decision-making

Data Understanding & Analysis Skills

·      Strong ability to interrogate unfamiliar datasets and quickly develop a working understanding of their structure, semantics, and quirks

·      Experience working with messy, incomplete, or poorly documented real-world data

·      Skilled in identifying hidden patterns, trends, seasonality, and anomalies through visual and statistical exploration

·      Ability to ask the right questions about data — challenging assumptions, validating sources, and understanding the context in which data was collected

·      Proficiency in data profiling, descriptive statistics, and summary reporting to communicate the shape and health of a dataset

·      Experience creating data dictionaries, documentation, and data quality reports to support team-wide data understanding

·      Comfort working across structured (relational tables), semi-structured (JSON, XML), and unstructured (text, logs, sensor streams) data formats

Technical Skills Required

·      Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and/or R

·      Strong SQL skills with hands-on experience in DB2 and SQL Server

·      Experience with Databricks for large-scale data processing, feature engineering, and model training

·      Familiarity with cloud platforms: Azure or AWS

·      Experience with data warehouses and big data platforms (Databricks, Snowflake, or Redshift)

·      Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow

·      Experience with streaming data technologies such as Kafka or Spark

·      Solid foundation in probability, statistics, linear algebra, and experimental design

Nice to Have

·      Experience with deep learning, NLP, computer vision, or Bayesian methods

·      Familiarity with real-time or streaming data pipelines

·      Open-source contributions or published research

Job Responsibilities :

- Lead design projects and contribute to product strategy

- Plan and design memorable user interfaces that are elegant and usable across our iOS, Android, and web platforms.

- Deliver wireframes and prototypes to help people visualize  design ideas.

- Push the bounds of creativity using the latest design techniques and languages.

- Good knowledge of graphic/visual design

- Work closely with the Engineering team to get crazy ideas to life.

Requirements :

- Proficiency in Sketch (Component system), Adobe XD, Illustrator or any other tool that helps you churn out great design!

- Updated portfolio.

- People who can solve problems & create engaging experiences.

• The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

• Experience using statistical languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Looking for someone with 3-7 years of experience manipulating data sets and building statistical models
• Has a Bachelor's, Master's in Computer Science or another quantitative field
• Knowledge and experience in statistical and data mining techniques :
• GLM/Regression, Random Forest, Boosting, Trees, text mining,social network analysis, etc.
• Experience querying databases and using statistical computer languages :R, Python, SQL, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees,neural networks, etc.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
• Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

COMPANY OVERVIEW

QubeHealth is on a mission to change the way people access healthcare.

India has one of the highest out-of-pocket-expenses in healthcare in the world. Even with group health insurance cover, the average Indian worker pays 60% of health-related expenditures out-of-pocket. Paying for and accessing, healthcare remains a massive challenge in India.

On the other hand, there’s all kinds of innovative ways one can pay for buying the smallest item on any popular e-commerce portal. We believe it’s high time we changed that, and are leading this change from the forefront.

We are looking for a Flutter Android Developer who possesses a passion for pushing mobile technologies to the limits. This Android app developer will work with our Product team to design and build the next generation of our mobile applications. Android programming works closely with other app development and technical teams.

• Design and build applications for the Android platform
  
• Collaborate with cross-functional teams to define, design, and ship new features
  
• Work with outside data sources and APIs
  
• Unit-test code for robustness, including edge cases, usability, and general reliability
• Work on bug fixing and improving application performance
  
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency
  

Tech Skills

• Flutter & Dart
  
• Rest API
  
• MySQL (good to have)
  
• GitHub
  

Soft Skills

• Good Communication
  
• Team Player
  
• Creative
  
• Problem Solver

Location: Preferably based out of Mumbai & willing to work from our Mumbai office.

• 2-5 years relevant work experience in building multiple users software solutions
• 1-2 years hands on experience building cloud based web and mobile applications
• JavaScript, React, NodeJS, structured and unstructured store
• Strong Front End or Back end experience
• Hands on experience building Restful APIs
• Hands on experience building microservices based applications
• Understanding of DevOps / DevSecOps processes and related tools including, but not limited to, IaC (Terraform, CloudFormation), config management (Chef, Puppet), Git / Bitbucket, or Jenkins, etc.
• Hands on experience with multiple frontend or backend technologies (either) / frameworks / platforms supporting web and mobile applications – Such as: NodeJS, Python, Django, Flask, PHP, Laravel, jQuery, Bootstrap, Angular, Vue.js, ReactJS, Bootstrap, React-Native, Flutter, iOS SDK, or similar.
• Hands-on end to end experience of multiple application development frameworks, monitoring tools, and deployment methodologies
• Experience building and deploying with container technologies such as Docker and Kubernetes and leveraging them throughout the CICD process
• Understanding of practices regarding system security measures

• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Analysis, Automate and backtest the existing strategies
• Employing statistical applications to visualize and/or transform the distribution or dispersion profile of individual signals and support the mathematical formulation of multiple signal algorithms to rank securities for investment.

• Candidates should have strong coding skills in Python (NumPy, Pandas, matplotlib, Zipline) /Django/Java script etc.
• Basic understanding of front-end technologies, such as HTML5, and CSS3
• Must have Database knowledge like Open source, PostgreSQL, MySQL/SQ
  Learnability, teamwork and flexibility are important traits we look for.

• Health Memberships 
• Sports Subscriptions 
• Entertainment Subscriptions 
• Key Conferences and Event Passes
• Learning Stipend 
• Team Lunches and Parties 
• Travel Reimbursements 
• ESOPs