Applied Scientist, Data Science Job at Prior Labs

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

Senior Data Scientist

The Senior Medical Data Scientist will play a vital role in supporting Global Me...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Engineering, Statistics, or a related quantitative field and 2+ year(s) of experience in data analytics or data science
OR, Master’s degree in Computer Science, Engineering, Statistics, or a related quantitative field and 5+ years of experience in data analytics or data science
OR, Bachelor’s degree in Computer Science, Engineering, Statistics, or a related quantitative field and 7+ years of experience in data analytics or data science
Experience in data science, statistics, machine learning, or advanced analytics, with hands-on application of statistical techniques such as hypothesis testing, regression analysis, clustering, and classification
Demonstrated hands-on expertise in data science, statistical modeling, machine learning, advanced predictive modeling, NLP, or related fields, with successful delivery of end-to-end solutions
Advanced programming in SQL and Python (R a plus)
comfort working in Databricks or similar environments
Strong storytelling and presentation skills
ability to translate data into clear, compelling insights

Job Responsibility

Design and build high-impact projects that address complex medical questions across therapeutic areas, applying advanced data science methods (predictive modeling, NLP, LLMs, machine learning, causal inference)
Conduct end-to-end data science projects across structured and unstructured datasets (e.g., HCP sentiment, scientific engagement data, publications, CRM/field medical data) using Python, R, SQL, Tableau, Power BI, or similar platforms
Drive the design, application, and evaluation of test-and-learn approaches — including causal inference methods, advanced A/B testing, and pilots, with accountability for methodological rigor and actionable insights
Partner with business leaders and stakeholders to define problem statements, set project scope, and design and conduct medical data science projects such as MSL engagement optimization, MSL note sentiment analysis using LLMs, and digital engagement impact measurement, turning complex data into insights that enable more effective field medical activities
Design and optimize scalable data pipelines in collaboration with engineering teams, ensuring reproducibility, robustness, and compliance in deployment workflows
Translate complex model outputs into clear, actionable insights and recommendations and deliver compelling presentations, reports, and visualizations to medical and cross-functional leadership teams
Serve as a technical SME (subject matter expert) in data science, providing thought influencing designing and methodology choices across the MDnA team
Passion to continuously learn, evaluate and introduce emerging technologies (e.g., Generative AI, LLMs, advanced A/B testing frameworks) and act as a motivational peer to strengthen Amgen’s data science toolbox
Maintain best practices in reproducibility, documentation, version control, and model governance across teams

Data Scientist

Medical Data Scientist will play a vital role in supporting Global Medical Affai...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Engineering, Statistics, or a related quantitative field and 1+ year(s) of experience in data analytics or data science
OR, Master’s degree in Computer Science, Engineering, Statistics, or a related quantitative field and 3+ years of experience in data analytics or data science
OR, Bachelor’s degree in Computer Science, Engineering, Statistics, or a related quantitative field and 5+ years of experience in data analytics or data science
Experience in data science, statistics, machine learning, or advanced analytics, with hands-on application of statistical techniques such as hypothesis testing, regression analysis, clustering, and classification
Working knowledge of SQL and Python (R a plus)
comfort working in Databricks or similar environments
Passion for applying technical skills to solve complex business problems and drive data-driven transformation

Job Responsibility

Support the application of data science methods — including advanced statistical techniques, predictive modeling, and machine learning — to design, develop, and deploy solutions that address complex medical questions across therapeutic areas
Support and execute components of data science projects across structured and unstructured datasets (e.g., HCP sentiment, scientific engagement data, publications, CRM/field medical data) using Python, R, SQL, Tableau, Power BI, or similar platforms
Assist in designing and evaluating experimentation and pilots (e.g., digital channel optimization or field medical targeting) to test innovative approaches, with a focus on scaling successful solutions
Work in technical teams and contribute to medical data science projects such as Medical Science Liaison (MSL) engagement optimization, MSL note sentiment analysis using LLMs, and digital engagement impact measurement, turning complex data into insights that enable more effective field medical activities
Support building and optimizing scalable data pipelines for ingestion, cleansing, transformation, model training, automation, and deployment in partnership with data engineering and platform teams
Collaborate with cross-functional stakeholders (Medical, Commercial, and Technology groups across Amgen India) to ensure analyses directly address key medical business questions and strategic priorities
Partner with data science, IT, and external vendors to support data access, integrity, and governance
Help to translate analytic outputs into clear, actionable insights and recommendations and deliver compelling presentations, reports, and visualizations to medical and cross-functional leadership teams
Stay curious — continuously learn and apply emerging methods such as LLMs, Generative AI, A/B testing, and causal inference to strengthen analytical approaches
Support documentation, version control, and deployment practices using standardized platforms and tools

What we offer

Competitive salary and comprehensive benefits package
Opportunities for professional growth and career development
A collaborative and inclusive work environment

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

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

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

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

Principal Data Scientist - Machine Learning Engineering

Atlassian is looking for a Principal Data Scientist to uncover valuable insights...

Location

United States , San Francisco

Salary:

175100.00 - 233400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Experience applying your Data Science skills to identify and lead projects which have had impact on business strategy and performance
8+ years of experience in Data Science or related fields. (Preferred - 10+ years experience with a post-graduate degree in a quantitative discipline like Statistics, Mathematics, Econometrics, Computer science)
Expertise in applying a broad variety of ML methods including NLP and LLM to solve business problems and a strong sense of when to apply them to the problem at hand
Experience in managing ML projects end-to-end including deployment and monitoring
Expertise in SQL and a high level of proficiency in another data science programming language (e.g Python, R) with expertise in libraries like Pandas, Numpy, Scikit-learn etc.
A very high bar for output quality, while balancing 'having something now' vs. 'perfection in the future'
Comfort explaining complex concepts to diverse audiences and creating compelling stories for non-data experts
Proficiency in visualization tools (e.g. Streamlit, Tableau)

Job Responsibility

Influence strategy & important decisions around customer friction by surfacing data driven insights
Define, set and report on department level metrics or KRs to the CSS Executive team
Build and implement measurement frameworks, machine learning models and NLP/LLM tooling to accelerate Atlassian’s growth and improve product quality
Foster a world-class Data Science culture by leading training on technical concepts, driving continuous learning and mentoring Data Scientists on the team

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Applied Scientist, Data Science

Prior Labs

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 21, 2026

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