Applied Data Scientist Job at Start.io

Applied Scientist & Theoretical Scientist (within Physics)

12-month placement. Play an integral role within the Physics team to support the...

Location

United Kingdom , Aldermaston near Reading

Salary:

23500.00 GBP / Year

AWE

Expiration Date

Until further notice

Requirements

Growth mindset
Curiosity
Innovation
Resilience
Teamwork
British Citizen (due to national security requirements)

Job Responsibility

Radiation detection measurements and analysis
Photo, electron and neutron modelling codes
Simulating and measuring material properties in exotic states of matter
Developing new and novel computational algorithms to solve physics problems
Complex mathematical assessments

What we offer

Every other Friday off work (nine-day fortnight)
270 hours of annual leave

Fulltime

Founding Applied Scientist

Koah Labs is building the ad network to power the next generation of AI-native p...

Location

United States , San Francisco

Salary:

Not provided

Koah Labs

Expiration Date

Until further notice

Requirements

Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related field
Enjoy identifying and owning challenging problems, forming testable hypotheses, and conducting impactful research to drive significant business impact
Relentless focus on continuous learning and making an impact with an ability to question the status quo
Strong mathematical and statistical modeling skills
Enjoy communicating conclusions to both technical and non-technical audiences alike

Job Responsibility

Design efficient algorithms for real-time bidding systems, building upon the current pricing literature
Create and productionize regression models to predict end conversions based on demographic, audience, and semantic data
Apply privacy-preserving clustering methods to categorize conversational data to improve advertiser outreach
Analyze and pore over data to find alpha that can improve the core ad matching system balancing publisher and advertiser outcomes

What we offer

Meaningful Equity
Offers Bonus

Fulltime

Senior Data Scientist

The Community Growth team at the Wikimedia Foundation works to improve knowledge...

Location

United States of America , San Francisco

Salary:

106227.00 - 167858.00 USD / Year

Wikimedia Foundation

Expiration Date

Until further notice

Requirements

Fluency in English
Bachelor’s degree and five years related experience OR a Master’s degree and at least three years related experience
or equivalent advanced work experience in data analysis, data science, research and analytics or a related field
Proven experience with programming languages, particularly SQL and Python
Experience calling and working with APIs in Python, including authentication, pagination, and JSON data handling
Experience working with large-scale data processing & storage tools (we use Hadoop, Hive, Presto, and Spark)
Experience with data visualization and dashboarding tools like Apache Superset, Google Looker Studio, or similar tools
Experience with Google Suite (Including the full suite of collaborative apps and advanced coding in Google Sheets/MS Excel)
Ability to address problems of diverse scope using good judgment in selecting methods and techniques for obtaining quality and efficient solutions
Ability to communicate findings and recommendations clearly to colleagues with diverse backgrounds and areas of expertise

Job Responsibility

In partnership with the DL&E Manager, building data systems for grant-funded activities and outcomes that enable standardization and connection with our primary data pipelines
Creation and maintenance of internal data dashboards to track Community Growth programs' outcomes and impacts
Identifying actionable insights from trends and themes across datasets to inform reports and decision-making about grantmaking, partnerships, and programmatic interventions
Designing Community Growth data processes for maximum effectiveness, building data frames and connecting to pipelines for effective and efficient storage and retrieval, basic aggregation and ETL
Collaborating across departments, including with technology data teams, to ensure that calculation of metrics are aligned with Foundation-level metric practices
Proactively identifying requirements to support and improve an evolving data ecosystem

Fulltime

Data Scientist

Synectic Solutions is currently recruiting for a Data Scientist, Journeyman to s...

Location

United States , Patuxent River

Salary:

Not provided

Synectic Solutions Inc

Expiration Date

Until further notice

Requirements

Must have a bachelor’s degree in a technical or scientific field from an accredited college or university
Must have a minimum of three (3) or more years of relevant work experience
Must have an active DoD Secret Clearance or higher
Must be a US Citizen

Job Responsibility

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software
Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets
Visualize, interpret, and report data findings

Fulltime

Data Scientist II

At Amazon, we strive to be Earth's most customer-centric company, where customer...

Location

India , Hyderabad

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

2+ years of data scientist experience
3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
Experience applying theoretical models in an applied environment

Job Responsibility

Analyze terabytes of data to define and deliver on complex analytical deep dives to unlock insights and build scalable solutions through Data Science to ensure security of Amazon’s platform and transactions
Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time
Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping
Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams
Develop efficient data querying infrastructure for both offline and online use cases
Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes
Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.
Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations

Forward Deployed Data Scientist

The Research, Analytics & Data Science (RAD) team at Intercom uses data and insi...

Location

United States , San Francisco

Salary:

197600.00 - 225500.00 USD / Year

Intercom

Expiration Date

Until further notice

Requirements

Proven ability to apply data science in real-world business contexts to drive measurable outcomes
Strong collaboration mindset
skilled at working across Sales, Success, Product, and Engineering
High adaptability and ownership: able to shift between deep technical analysis and high-level strategic framing
Excellent communication skills, both technical and non-technical
Rapidly prototype bespoke solutions for customers - knowing when lightweight analysis is sufficient versus when to scale
Excellent SQL skills and fluency in Python/R, with experience applying analytical and statistical methods to business problems
Experience with AI/ML evaluation, LLM-driven applications, or conversational AI
Willing to travel and work on-site with customers to build deep relationships and uncover insights firsthand

Job Responsibility

Drive the adoption of Fin by helping customers automate and scale their support operations
Embed with strategic customers to understand their support workflows, data, and business challenges — to identify and implement opportunities where AI can deliver measurable impact
Steer customers toward best practices in measurement and AI adoption to realize the full value of Fin
Partner closely with Sales, Success, and Product to deliver seamless customer experiences and successful deployments, and to create feedback loops that shape product development
Use AI to prototype, test, and scale data-driven solutions, building tools that make us faster and more effective in driving Fin adoption and customer impact

What we offer

Competitive salary and meaningful equity
Comprehensive medical, dental, and vision coverage
Regular compensation reviews - great work is rewarded!
Flexible paid time off policy
Paid Parental Leave Program
401k plan & match
In-office bicycle storage
Fun events for Intercomrades, friends, and family!

Fulltime

Sr Staff Data Scientist

The mission of the Data Science team at Mist is to leverage state-of-art ML and ...

Location

United States , San Jose

Salary:

148000.00 - 340500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

MS or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math, or a related quantitative discipline
Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
Proficient in coding, (preferably in Python) processing large-scale data sets and developing machine learning models
Able to communicate effectively in a variety of formats and collaborate with diverse teams

Job Responsibility

Research and develop statistical learning models for data analysis
Collaborate with product management and engineering departments to understand company needs and devise possible solutions
Keep up-to-date with latest technology trends
Communicate results and ideas to key decision makers
Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Optimize joint development efforts through appropriate database use and project design

What we offer

Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
Personal and professional development programs
Inclusive workplace policies

Fulltime

Software Engineer Staff - Data Scientist

Designs, develops, troubleshoots and debugs software programs for software enhan...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Masters or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
Proficiency in Python, R, SQL, or other programming languages for data analysis
Experience with data wrangling, manipulation, and visualization tools and libraries such as pandas, numpy, scikit-learn, matplotlib, seaborn, etc.
Knowledge of machine learning concepts and techniques such as supervised and unsupervised learning, regression, classification, clustering, dimensionality reduction, etc.
Familiarity with cloud computing platforms and services such as AWS, Azure, or Google Cloud
Strong analytical and problem-solving skills

Job Responsibility

Collect, clean, and transform data from various sources and formats for model training
Perform exploratory data analysis and visualization to understand patterns and trends
Build, test, and deploy predictive models and algorithms using appropriate tools and frameworks to a production cloud environment
Communicate findings and recommendations to stakeholders and clients using clear and compelling reports and presentations
Collaborate with other data scientists, engineers, and domain experts on cross-functional projects

What we offer

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Programs for personal and professional development
Inclusive environment that celebrates individual uniqueness

Fulltime

Applied Data Scientist

Start.io

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 05, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Applied Data Scientist