Benefits:

• Medical, Dental & Vision coverage

• 401(k) Plan

• Unlimited PTO

• Two annual company-wide, week-long breaks

• Flexible work environment

Benefits:

• Medical, Dental & Vision coverage

• 401(k) Plan

• Unlimited PTO

• Two annual company-wide, week-long breaks

• Flexible work environment

Benefits:

• Medical, Dental & Vision coverage

• 401(k) Plan

• Unlimited PTO

• Two annual company-wide, week-long breaks

• Flexible work environment

Benefits:

• Diverse and collaborative environment

• Opportunities to grow

• Work on cutting-edge technology

• Flexible working hours

• Autonomy and empowerment Attractive compensation with equity plan Fast-paced and agile culture Company events Remote working opportunities

Responsibilities:

• Take the initiative to set priorities and exceed goals

• Possess excellent leadership, communication and interpersonal skills

• Gain deep knowledge on the various functions of an AI based enterprise software company

Benefits:

• Stock options

• State RN/NP License and CME reimbursement

• Comprehensive health, dental and vision plans for your and your family

• Wellness benefits

• Competitive vacation policy

Experience Requirements:

• Experienced board-certified Nurse Practitioner licensed in multiple states (NY, CA, FL, NJ, NV preferred)

Other Requirements:

• Have a quiet work environment/office space with high speed internet connectivity.

• Ability to conduct clinical research with the data we collect

• Excellent communication skills

• Ability to work well in a team

• Personable

• Organized

• Excellent listening skills

• Helpful attitude

• Empathetic

• Detail oriented

• Excellent time management skills

• Strong multi-tasking skills

• Flexible and resourceful

Responsibilities:

• Asynchronously review the member’s medical history and conduct pre-scan telehealth consultations with patients to assess their health history, family history of cancer, and answer any clinical questions they may have.

• Review and generate medical orders for our members’ MRI scans, based on the consultations you hold with them.

• Review members’ radiology reports from their Ezra scans and prepare reports that translate the radiology results in layman’s terms, and provide actionable next steps per the radiologist’s report and evidence-based guidelines.

• Conduct post-scan telehealth consultations with members to communicate their results, and answer any questions they may have.

• Work with a collaborating physician in applicable states.

Benefits:

• Comprehensive global benefits package

• Generous paid time off leave

• Technology stipend

• Paid work trips

• In-person co-working stipend

Experience Requirements:

• Product-oriented mindset

• Experience leading research focused on data analysis

• Highly self-directed and passionate about AI research

• Excellent writing and presentation skills

• Comfortable with remote work

Responsibilities:

• Lead the process of preparing weekly data insights

• Build our data offering

• Take our data insights to the next level

• Help select what data we collect

Experience Requirements:

• 2 to 4 years of relevant industry experience

Other Requirements:

• Experience in Linear algebra, statistics & Probability skills, such as distributions, Deep Learning, Machine Learning

• Strong mathematical and statistics background is a must

• Experience in machine learning frameworks such as Tensorflow, Caffe, PyTorch, or MxNet

• Strong industry experience in using design patterns, algorithms and data structures

• Industry experience in using feature engineering, model performance tuning, and optimizing machine learning models

• Hands on development experience in Python and packages such as NumPy, Sci-Kit Learn and Matplotlib

• Experience in model building, hyper Skills:- Data Science, Python, Computer Vision and Deep Learning

Responsibilities:

• Analyze large amounts of raw information to find patterns that will help improve our company.

• Build data products to extract valuable business insights.

• Help our company analyze trends to make better decisions

Benefits:

• Remote-first

• Relocate if you want

• Platinum-tier insurance

• Stipends

• Unlimited PTO

Education Requirements:

• Bachelor's degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)

Experience Requirements:

• 5+ years of relevant experience in roles that require a strong statistical background day to day

Other Requirements:

• Experience designing machine learning models (data analysis, feature engineering, algorithm selection), and working with them in a production environment, using a language like R, Python or C++

• Excellent understanding of SQL concepts for data retrieval, cleaning and feature engineering

• Presentation and communication skills, diagrams as well as documents to explain deep concepts

Responsibilities:

• Create documentation for classical Machine Learning use cases on a brand new platform

• Educate early customers and help them formulate business problems as supervised learning problems

• Design statistical visualizations that provide insight across multiple data sets

• Guide UX to create interpretable model outputs, as well as avenues for model improvement

• Implement concepts in SQL, Python and Rust rather than Powerpoint

Education Requirements:

• PhD in Statistics, Computer Science, Computational Biology, Bioinformatics, Bioengineering, or a related field

• Masters in one of the above fields with 2+ years of experience in academia or industry

• BS with 4+ years in academia or industry

Experience Requirements:

• Experience in analysing and obtaining actionable insights from high throughput sequencing (HTS/NGS) data

• Knowledge in experimental design and experience working with teams in designing experiments

• Experience with language modeling, deep learning and related practical applications

Other Requirements:

• Experience with at least one of the following: Microsoft Azure Space/SpaceX, Python, Linux command line, Bioinformatics

• Experience with DNA repair pathway analysis

• Knowledge of precision and personalized medicine, drug repurposing and repositioning, multiomics including nutrigenomics and epigenomics, CRISPR

• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

• Experience working with companies and space agencies such as Virgin Galactic, SpaceX, Blue Origin, NASA Space Biosciences, ESA, JAXA et al

• Knowledge of GCR (Galactic Cosmic Rays), HZE (High-energy and high-charge ions), Bragg peak and ‘track’ correlation analysis related to DNA repair pathways along with high/low LET (Linear Energy Transfer) radiation, telomere elongation/shortening, chromosomal translocations and dysregulated gene expression and additional multiomics research in connection to space biosciences.

• Experience with software tools used in Space Biosciences e.g. NASA GeneLab, Unsupervised learning and experimental clustering, Bioinformatics toolsets

• Radiation affecting the microenvironment

• Exosomic cargo

• Biochemical cascades

• ECM and Brain ECM

• Dynamic Reciprocity

• TME (Tumor microenvironment)

• Exosomes

• DNA repair pathways, time to repair data and factors

• Biomarkers which can be used to predict amount of time for DNA repair cycles to complete

• Knowledge of key targets of particle damage correlated to type of particle and track:

• Knowledge of key effects of particle damage correlated to type of particle and track:

• NASA’s Human Research Roadmap (HRP), NASA GeneLab and Biospecimen Sharing Program (BSP)

• Wetlab exposure

• Side projects

Responsibilities:

• Develop data analysis strategies, write algorithms, and deploy computational tools for the exploration of proteomics and single-cell datasets (scRNAseq, scATACseq, CITEseq)

• Work with software engineering, data science, genomics, biochemistry, and proteomics teams on the development of novel platforms for extracting biological insight from experimental data at multiple spatial and temporal scales

• Interact closely with scientists in discovery & translational research, understand their data manipulation and analysis needs, provide answers to technical questions through 1-on-1 communication, presentations, and written documents

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field

Experience Requirements:

• 2 years of professional experience in data science or a related field

Other Requirements:

• Proficiency in programming languages such as Python, R, or Scala

• Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn

• Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib

• Strong understanding of statistical modeling, data mining, and machine learning techniques

• Excellent problem-solving skills, attention to detail, and ability to work on multiple projects simultaneously

• Strong communication skills, both written and verbal

• Experience with big data technologies like Hadoop, Spark, or Hive is a plus

Responsibilities:

• Analyzing and interpreting complex data to identify trends, patterns, and insights

• Developing, validating, and implementing predictive models and algorithms

• Collaborating with business units to understand their needs and provide data-driven solutions

• Communicating findings through visualizations and presentations to both technical and non-technical stakeholders

• Maintaining and improving existing data pipelines and tools

Benefits:

• Flexible Time Off

• Health, Dental and Vision

• Work Life Balance

Benefits:

• Paid Internship with potential for full-time employment

• Flexible work hours

• Mentorship from experienced data scientists

• Hands-on experience working on real business problems

• Networking opportunities or team events

Education Requirements:

• Recent BE/B. Tech in any stream (Candidates from premier institutes like IIT/NIT preferred)

Other Requirements:

• Strong familiarity with machine learning techniques and algorithms

• Proficiency in Python

• Kaggle experience is a plus

Responsibilities:

• Apply data preparation techniques for machine learning

• Implement machine learning algorithms

• Validation of regression and classification models

Benefits:

• Competitive salary packages

• Comprehensive health benefits

• Flexible work options

• Generous time off

Education Requirements:

• Bachelor's or Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field

Experience Requirements:

• 5+ years of hands-on data science experience

Other Requirements:

• Fluent in Python, R, or similar languages

• Deep expertise with machine learning frameworks

• Knowledge of big data systems

• Ability to build production-ready data pipelines and models

• Excellent communication skills

Responsibilities:

• End-to-End Project Leadership

• Hands-On Development

• Cross-Functional Collaboration

• Innovation and Best Practices

• Strategic Influence

Benefits:

• Competitive salary package with performance-based bonuses

• Comprehensive health insurance coverage for you and your dependents

• Flexible working hours with Hybrid work arrangement

• Generous vacation and time off

• Continuous learning and professional development opportunities

Education Requirements:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field

Experience Requirements:

• 2+ years of experience in data analysis

Other Requirements:

• Proficiency in Python

• Expertise in SQL

• Experience with visualization tools

• Strong understanding of statistical techniques

Responsibilities:

• Oversee the data infrastructure that supports carrier allocation decisions

• Ensure the accuracy, completeness, and reliability of data pipelines and reporting systems

• Analyze data to validate hypotheses about carrier performance and allocation strategies

• Build and maintain dashboards

Benefits:

• Fully remote work environment

• Work from home budget

• Dedicated learning time and budget

• In-person Overstory team gatherings

Experience Requirements:

• At least 8 years of commercial experience as a Data Scientist or Machine Learning Engineer

• Advanced scientific Python experience, including numpy, scipy, scikit-learn, pandas

• Experience with geospatial or satellite data, and tooling such as gdal, rasterio, shapely, fiona, geopandas, QGIS

• Experience with deep learning algorithms, especially as applied to geospatial data, and tooling such as pytorch, tensorflow

• Experience leading small teams organized around projects or initiatives

Other Requirements:

• Passionate about climate

• Enjoy working in a remote first, fast-moving environment.

• You are based in the GMT/ CET time zone. Open to US ET for those that are able to have significant overlap with GMT/ CET working hours

Responsibilities:

• Develop new vegetation intelligence products using standard geospatial Python libraries, as well as machine learning and deep learning tools

• Support existing products through data exploration, model improvements, and bugfixes, especially using QGIS, Dagster, Sentry, and Grafana

• Represent the team by leading projects and initiatives, being responsible for planning, execution, delivery, and ensuring the value of our contributions is clear to other stakeholders throughout the organization

• Build the tooling and processes necessary to measure the value and performance of our contributions, and help to make data-driven decisions about where we can have the greatest impact

Benefits:

• Fully remote work environment

• Work from home budget

• Dedicated learning time and budget

• In-person Overstory team gatherings

Experience Requirements:

• At least 5 years of commercial experience as a Data Scientist or Machine Learning Engineer, with deep data science skills and experience at early-stage or remote-first organizations

• Intermediate-level technical skills, especially with modern tech stacks including Python and its scientific libraries, Jupyter ecosystem, GCS or other cloud platforms, and best practices with code management and infrastructure

• Experience taking products from 0-1 with supporting product team, comfortable iterating on prototypes and using low-cost mocks and visualizations to develop ideas

• Advocate for products which account for and communicate probabilities or uncertainty, helping to build confidence with stakeholders

Other Requirements:

• Passionate about climate

• You are based in the GMT/ CET time zone. Open to US ET for those that are able to have significant overlap with GMT/ CET working hours

Responsibilities:

• Develop new wildfire risk and resilience projects using machine learning, deep learning, or wildfire models.

• Provide scientific and wildfire domain expertise to help guide successful product development.

• Support and grow the scientific community within Overstory

Benefits:

• Working in a team with extraordinary scientists and business professionals with proven track records

• Working in a varied environment: balancing between the market requirements and science

• Working with our innovative enterprise customers

• Be part of bringing state-of-the-art technology to an emerging market

• Focus on your personal development, both professionally and individually

Education Requirements:

• You have computer science and artificial intelligence knowledge at the MSc level

Experience Requirements:

• You have experience in machine learning and general programming, specifically Python

• Experience with machine learning libraries, preferably PyTorch

• Familiarity with deep generative models

Other Requirements:

• You are self-sufficient and an individual contributor

• You can adapt to our product vision and technology quickly

• You can bring innovation to the team and the product from a technical perspective

• You have a start-up and can-do mentality

• You are pragmatic and flexible, and a communicator

Responsibilities:

• translating new research into a product that solves real-world problems

• implementing new models

• designing data encoding schemes

• running experiments

• deploying optimised inference pipelines and packaging everything in a working project

Benefits:

• Competitive salary and equity

• MacBook Pro, 5K display, and accessories

• Company-paid co-working space

• Work remotely

Experience Requirements:

• 5+ years of experience

Responsibilities:

• Help build httpie.ai

Experience Requirements:

• Strong analytical skills

• Ability to synthesize large volumes of data

• Experience with quantitative and qualitative data analysis methods

• Excellent communication and presentation skills

Responsibilities:

• Supporting senior leadership on research projects

• Meeting client needs across topics such as misinformation, climate, public health and international democracy

• Synthesizing large volumes of data and information into actionable insights and recommendations

• Analyzing and communicating complex information in concise and digestible formats

Benefits:

• Remote work options

• Hybrid work options

• Learning development opportunities

• Unlimited annual leave

Education Requirements:

• Engineering, mathematics, computer science, or any other STEM related degree (Honours level)

• Graduated with distinction

• Masters degree is advantageous

Experience Requirements:

• 1+ year experience in a client facing role presenting analytics to business teams

• 1+ year experience performing analytics, generating findings and implementing improvements

Responsibilities:

• Working with data engineering and data science teams on technical and strategic planning and execution of department goals

• Perform detailed analysis on microfinance data for the generation of business level recommendations

• Presentation of analysis and recommendations to executive teams

• Implementation of recommendations and evaluation of their performance

• Designing, building and deployment of machine learning models and statistical optimisations in the financial industry