Executive Director

Are you looking to work in the cutting edge area of applying data-science to help global customers get a better insight into their health? If so, read on and apply.

Role Name: Senior Data Scientist

Science Team | Full-Time | In-Office | Bangalore

The Role

The Ultrahuman Science Team builds the algorithms behind the Ring, M1 CGM, blood and urine biomarkers, and Performance Lab assessments. We are hiring a Senior Data Scientist to own those algorithms end to end: from the raw sensor signal to a model that is shipped, monitored, and trusted in users' hands.

This is a build role with real scope. In a typical month you will improve a production algorithm, root-cause a metric users are complaining about, and stand up the data pipeline the next model needs. The common thread is ownership: you take a vague question and return a working answer, without waiting to be handed scope.

What You'll Do

·      Own algorithms end to end: sleep staging, activity detection, sensor-derived metrics, and health scores. You frame the problem, build the features, train and evaluate the model, and see it live

·      Ship models, not notebooks: you prove a change on our own cohort before it reaches users, and a model is done only when it runs in production and you can tell how it is behaving

·      Validate against reference standards: design evaluations against gold standards, reference devices, and study ground truth, and know when a result is real and when it is an artifact

·      Own the data layer: cohort extraction, feature pipelines, study data, and raw sensor data, so the next model starts from clean inputs

What This Looks Like in Practice

1. Improving production algorithms - Take an existing production model like sleep staging, root-cause the failure modes against reference data, and ship a fix you can defend with numbers.

2. Building new models - Train an activity classifier on raw sensor data, design the labeled data collection that expands it, and pick the operating point so false positives never erode trust.

3. Proving it before it ships - Run a new steps algorithm against reference-device cohorts, decide with data when it is ready, and monitor how it behaves after rollout.

Who You Are

The two things we can't coach

·      High ownership, end to end: you take a problem from a vague question to a shipped model without waiting to be handed scope, and you can point to something you owned from raw data all the way to production

·      Hungry for more scope: you have outgrown your current role and want problems biggerthan your title, with the technical depth to be trusted with them

Also important

·      You've worked with human health data: wearables, physiological signals, or clinical data.

If your experience is close but not exact, show us why you will ramp fast

·      You've built at a startup: or somewhere small enough that nobody handed you clean data, clear specs, or a mature ML platform

·      You work like it's 2026: coding agents and AI tooling are part of how you build every day, and you can tell which new capabilities are worth adopting

·      You communicate: you can explain a model and its limits to a product manager, an engineer, or a founder, and hold your own with our scientists Core Technical Skills

·      Languages and data: Python and SQL daily, comfortable working in a real codebase

·      Machine learning: PyTorch or TensorFlow, scikit-learn, and gradient boosting, with the judgment to know which the problem needs

·      Advanced machine learning: time series and sequence models, deep learning on continuous physiological signals, and ensembles

·      Statistics and evaluation: hypothesis testing, experiment and A/B design, model evaluation, and error analysis against a reference standard

·      Scale and cloud: Spark or equivalent on large datasets, and AWS, GCP, or Azure

·      Production ML and MLOps: training pipelines, model versioning, deployment, monitoring, and drift detection

·      LLMs and agentic systems: fine-tuning and serving models, building agentic pipelines, and using coding agents to move faster

Experience:

- 4 to 5 years building and shipping machine learning systems. We index on what you have shipped and on trajectory, not the exact number of years; if you are a little earlier but have clearly outgrown your current scope, we want to hear from you.

- Bachelor's or higher in engineering, computer science, statistics, or a related field.

How We Work and Who Thrives Here

- The Science team is small and moves fast, and much of the work has no precedent to copy.

- People do their best work here when they are energized by ambiguity, low on ego, quick to adopt a better idea no matter where it comes from, and comfortable owning something before anyone has told them how. If you need a mature data org, clean labelled datasets, and clear guardrails to thrive, this particular role will not be the right fit, and that is worth knowing up front.

What You'll Gain

·      Ownership of algorithms that hundreds of thousands of people see every morning

·      A dataset most scientists never get to touch: 100M+ nights of sleep and continuous physiological signals at scale

·      Direct collaboration with the engineering, product, and design teams building Ultrahuman

Candidate should have 5-7 years of experience in both manual and automation testing. Candidate should have atleast one year experience as a lead of a QA team.

Candidate should be self motivated and passionate and should have clear understanding of agile/scrum processes

  Write and post technical job descriptions 

  Parse specialized skills and qualifications to screen IT resumes 

  Perform pre-screening calls to analyze applicants’ abilities 

  Interview candidates combining various methods (e.g. structured interviews, technical assessments and behavioral questions) 

  Coordinate with IT team leaders to forecast department goals and hiring needs 

  Craft and send personalized recruiting emails with current job openings to passive candidates 

  Participate in tech conferences and meetups to network with IT professionals 

  Compose job offer letters 

  Onboard new hires  

Responsibilities:

• Hand on experience in Golang/Python/Ruby on Rails /Node.Js
• Must have at least 1+ years of experience in Team Handling

About Tweeny:
We are a team of passionate software Ninjas who design scalable software solutions.

We solve some of the interesting problems for our clients in a variety of sectors. We are also developing our own products where we are seeking bright minds with creative thinking.
We are a fast-paced and young team of fun-loving engineers. For us, work is not just a job but it's a way to grow & learn together while doing what we love.

We are looking to hire on MERN stack position (full stack engineering profile) although if you have worked only on either ReactJS/Native or NodeJS stack, please do apply as well.

We are hiring for a few specific teams at our organization that is building utility and functional web application experiences (as marketplace applications) that solving some interesting problems for remote workforce management.

Requirements:

• 2-5 years of experience working with React JS, Node JS, and other advanced JavaScript libraries and frameworks.
• Ability to understand business requirements and translate them into technical requirements.
• Strong software engineering skills with the proven ability to build, deploy, and maintain a scalable codebase.
• Experience working with remote data using RESTful APIs and JSON.
• Strong understanding of development tools and technologies like ES6, Redux, Immutable, JSX Components, Bootstrap, HTML, CSS, Git, NPM, Express.
• Strong understanding of any build tool like Webpack, Babel, Gulp, or similar.
• Strong affinity for benchmarking and performance optimization.
• Experience deploying applications to the cloud and setting up CI/CD is a plus.
• Experience building container images using tools like Docker is a plus.
• Ability to learn new languages and technologies.
• B.E/B.Tech in Computer Science, Engineering, or a related field.

• Produce clean, efficient code based on specifications
• Integrate software components and third-party programs
• Verify and deploy programs and systems
• Troubleshoot, debug and upgrade existing software
• Recommend and execute improvements for the software development and software delivery life cycle
• Ensure the highest standard of performance, quality, and responsiveness of the applications.

Job Title: ERPNext Developer 
Job Type: Full – Time
Location: Pune
Work Hours: 9: 00 AM to 6:00 PM
Min Salary: As per the Standard Market Rates

MAIN DUTIES/RESPONSIBILITIES:

PRIMARY RESPONSIBILITIES:
The candidate will be required to Design, Configure, Build, Test, Deploy and Maintain ERPNext and Frappe based applications:

• Gathering technical requirements for internal and external customers.
• Creation of documentation for software development and testing.
• Participation and use of Agile development methodologies
• Drive continuous improvement in development and operations best practices
• Ability to convey complex information in both written and oral form to technical and non-technical audiences

QUALIFICATIONS, EDUCATION, AND SKILLS:
Core qualifications:

• Excellent written and verbal communication skills
• Good interpersonal communication skills are needed in order to work successfully with prospects, customers, and cross-functional teams to meet development timelines
• Able to understand the complex business process and manage the project.
• Strong aptitude for learning new technologies and understanding how to utilize them in a customer-facing environment
• Hands-on experience in developing ERP applications from the ground up.
• Ability to follow standard engineering principles and practices
• Creative approach to problem-solving
• Working knowledge of object-oriented design and development skills.
• Commercial eCommerce portal development and maintenance is preferred. 
• 1-5 years of Experince is mandatory.

Technical qualifications:

• Experience in Frappe, ERPNext, JS, MySQL, Python & Frappe based web development. 
• Hands-on Product development over Frappe Framework, ERPNext
• Experience with workflows, access controls, page layouts, custom objects, custom record types, reports, and dashboards design and development
• Experience with Scrum/Agile development methodologies 
• OOP concepts and Backend Development Experience
• MySQL on MariaDB or equivalent
• Hands-on experience with hosting web application on Apache or NGINX
• Experience in UI/UX development for Web Applications is essential.
• Experience with one or more ERPNext Modules like Human Resources, CRM, Buying, Selling, Asset Management, Stock, Buying, Accounting, and Project.
• Senior position requires experience with multiple modules of ERPNext. 
• BS in computer science or technology equivalent preferred