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Wearable Data Science Jobs (NOW HIRING)

Tarro

Data Scientist

San Mateo, CA · On-site

$180K - $250K/yr

... wear many hats to uncover patterns, optimize decision-making, and solve high-impact business challenges. What you will accomplish: * You will be responsible for owning entire data science model ...

bioMerieux

Sr. Data Scientist

Hazelwood, MO

bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop ... Ability to wear PPE correctly most of the day - Yes * Typical office setting * Domestic travel ...

BioFire Diagnostics

Sr. Data Scientist

Hazelwood, MO · On-site

bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop ... Ability to wear PPE correctly most of the day - Yes * Typical office setting * Domestic travel ...

UCT Alumni Association

Data Scientist

Phoenix, AZ · On-site

Education - * Bachelor's degree in Data Science, Computer Science, Statistics, Engineering ... Required to wear personal protective equipment where applicable. * Subject to frequent ...

Shaped

Senior Data Scientist

Brooklyn, NY · On-site

$100K - $150K/yr

... data science or solutions architecture role * Proficient with Python, SQL * Have the willingness to wear many hats, be passionate about unblocking issues for customers, and have an excitement for ...

Shaped

Senior Data Scientist

Brooklyn, NY · On-site +1

$100K - $150K/yr

... data science or solutions architecture role * Proficient with Python, SQL * Have the willingness to wear many hats, be passionate about unblocking issues for customers, and have an excitement for ...

Kla

Data Scientist - Palantir Developer

Phoenix, AZ · On-site

$110K - $187K/yr

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics ...

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Wearable Data Science information

What is the difference between Wearable Data Science vs Wearable Data Analyst?

AspectWearable Data ScienceWearable Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of machine learningDegree in Data Analysis, Statistics, or related field; proficiency in data visualization tools
Work EnvironmentResearch labs, tech companies, healthcare startupsHealthcare providers, fitness companies, wearable device firms
Employer & Industry UsageDevelops algorithms, models, and wearable tech innovationsAnalyzes wearable data to inform decisions, improve products, and report findings

Wearable Data Science focuses on developing algorithms and models to interpret wearable device data, often involving machine learning. Wearable Data Analysts interpret and visualize this data to support business or healthcare decisions. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What is wearable data science?

Wearable data science is a field focused on analyzing and interpreting data collected from wearable devices such as smartwatches, fitness trackers, and health monitors. Professionals in this area develop methods to process large volumes of sensor data to gain insights into health, activity, and behavior patterns. The insights can be used to improve health outcomes, enhance user experiences, and support research in various domains including healthcare, sports, and consumer technology.

What are the key skills and qualifications needed to thrive as a wearable data scientist, and why are they important?

To thrive as a Wearable Data Scientist, you need a solid background in data analysis, statistics, machine learning, and a relevant degree in fields like computer science, engineering, or data science. Familiarity with programming languages such as Python or R, experience with data visualization tools, and knowledge of wearable sensor platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate complex data into actionable insights. These skills are vital for developing accurate models and delivering meaningful results that drive innovation in wearable technology.

How do wearable data scientists typically collaborate with hardware engineers and software developers during product development?

Wearable data scientists work closely with hardware engineers to understand sensor specifications and data collection constraints, ensuring that the data is accurate and usable for analysis. They also collaborate with software developers to integrate data processing algorithms into wearable devices or companion apps, often providing feedback on data flow, storage, and real-time analytics. This cross-functional teamwork is essential for developing robust products that deliver actionable insights to users and meet technical requirements.
More about Wearable Data Science jobs
What cities are hiring for Wearable Data Science jobs? Cities with the most Wearable Data Science job openings:
What states have the most Wearable Data Science jobs? States with the most job openings for Wearable Data Science jobs include:
What job categories do people searching Wearable Data Science jobs look for? The top searched job categories for Wearable Data Science jobs are:
Wearable Data Science jobs near you
Infographic showing various Wearable Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

Tarro

San Mateo, CA • On-site

$180K - $250K/yr

Full-time

Re-posted 2 days ago

Job description

About Us:
Here at Tarro we build products that empower small brick and mortar restaurants by liberating them of the operational burden of running their business. We accomplish this by providing a frictionless connection between them and their customers through our multi-product ecosystem offering AI-enabled order taking, delivery enablement, payment solutions, and point-of-sale software. At Tarro, we use a combination of bits (technology) and atoms (people) to solve real world problems facing small business owners.
We obsess over placing our customers first and working backwards from there. When our customers succeed, we succeed. The restaurant industry in the US is over a $1 trillion total addressable market (TAM), but remains relatively underserved by technology. Large chains are able to afford expensive tech that gives them a huge advantage; we believe that small restaurant owners deserve access to the same technologies at an affordable price.
Tarro has been profitable for nearly a decade and seen 5x revenue growth in the past four years. As of our last fundraising round in mid-2022, we were valued at $450M and have since seen substantial growth across customer acquisition, product development and company headcount. Thousands of loyal restaurants have entrusted Tarro with their success, and together we have supported nearly 20 million customers. We are proud to be named one of Built In's top companies to work for in 2023.
To learn more about our culture, values and how you can be a part of helping mom & pop restaurants thrive, please visit us here! Helping restaurants thrive, not just survive.
What we're looking for:
We are looking to hire a Data Scientist to drive impactful insights and build data-driven solutions across multiple Tarro product areas. In this role, you'll analyze complex datasets, develop predictive models, and collaborate closely with product, engineering, operations and a variety of stakeholders. You'll own end-to-end data initiatives, deploy models into production, and play a critical role in shaping Tarro's growth and evolution. As a key member of our growing team, you'll move fast, experiment often, and wear many hats to uncover patterns, optimize decision-making, and solve high-impact business challenges.
What you will accomplish:
  • You will be responsible for owning entire data science model pipelines, from development to support
  • You will help make key decisions on the technologies and tools we use as we scale
  • You will write high quality code for all parts of our data science pipelines.
  • You will work closely with Marketing, Sales, Customer Success, Product and other functions to define and execute on data diagnosis, prediction, prescriptive and experimentation requirements
  • You will create scalable data science models following software and data engineering practices like versioning, CI/CD, workflow orchestration, data ops and ml ops
  • You will implement rigorous code reviews and testing guidelines to ensure that we have a high quality data science products
  • You will create and improve our data science CI/CD pipeline to enable high developer velocity
  • You will help in improving the life of independent restaurant owners and ultimately their customers
About you:
  • You have Bachelors in Computer Science or Engineering, Statistics, or equivalent experience.
  • You have 3+ years of ELT/ETL, data exploration, transformation and building production models.
  • You have 3+ years working with cloud databases, such as Snowflake, Redshift or similar
  • Practical experience with statistical testing (p/t/z tests, power analysis), time series, regression/classification, clustering, and NLP.
  • You have experience with programming languages such as Python and its usage for data processing, making API calls along with Advanced SQL
  • You have built with at least one of OpenAI/Anthropic/Google/OSS (Llama/Mistral), using embeddings, RAG (vector DB + hybrid search + re-ranking), prompt engineering, function/tool calling, JSON-schema outputs, and evaluation frameworks (e.g., prompt/unit tests, hallucination checks).
  • You have exposure to MLflow or equivalent for experiment tracking/model registry; data & model versioning; orchestration (Dagster/Airflow); containerization (Docker) and monitoring (latency, cost, quality)
  • You have exceptional product sense, communication and bias to ship
Bonus Points:
  • You have experience with dbt, Dagster, MLflow/DVC, Weights & Biases, or Feast/feature stores.
  • You are obsessed with data and patterns to solve business problems.
  • You will be jumping in deep into a new territory for the business, and you have a strong hunger to learn along with us.
  • You got Restaurant tech or marketplace/logistics experience; you're customer-obsessed and love turning noisy operational data into outcomes.

The base salary range for this role is $180,000 - $250,000 USD.

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