Remoote.app

Work from anywhere. Start here.

Free resume builderCompaniesLog in
Apply

Data Scientist

Posted 3 months agoViewed

View full description

💎 Seniority level: Junior, 1+ years

🔍 Industry: Medical Imaging

🏢 Company: HOPPR👥 11-50Artificial Intelligence (AI)MedicalInformation TechnologyHealth CareHealth DiagnosticsSoftware

🗣️ Languages: English

⏳ Experience: 1+ years

Requirements:
  • Master’s or PhD in Computer Science, Engineering, Data Science, or a related field.
  • 1+ years of professional data science experience, with a proven ability to train, evaluate, and deploy machine learning models, including large language models.
  • Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow), as well as experience with data manipulation tools like SQL, pandas, or NumPy.
  • Familiarity with ML Ops practices and deploying models into production pipelines (preferred).
  • Knowledge of healthcare data, such as radiology images or EHRs, is a plus.
Responsibilities:
  • Design and develop robust pipelines using advanced methods with large language models (LLMs) to extract features and label data from unstructured datasets
  • Create and implement rigorous evaluation metrics to assess feature extraction processes, ensuring continuous improvement aligned with clinical and product goals.
  • Enhance and maintain scalable, reproducible data science infrastructure to support agile development and secure operations across partitioned client environments.
  • Design and implement MLOps practices to streamline, scale, and automate machine learning workflows.
  • Manipulate, analyze, and manage large-scale datasets using Python, SQL, and other tools.
  • Work closely with engineers, clinicians, and product teams to ensure data solutions are aligned with user needs and drive meaningful outcomes.
Apply

Related Jobs

Apply
🔥 Senior Data Scientist
Posted about 12 hours ago

🧭 Full-Time

🔍 AI

🏢 Company: Turing👥 1001-5000💰 $6,850,000 Convertible Note over 3 years agoSoftware EngineeringFreelanceInformation TechnologySoftware

  • Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Physics, or related analytical disciplines.
  • 5–10 years of industry experience in data science or applied machine learning (exceptional candidates with PhDs or track record of publications)
  • Advanced programming in Python (non-negotiable).
  • Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Strong grasp of machine learning concepts and familiarity with LLMs.
  • Experience with GCP, LLM fine-tuning, and feedback-driven data annotation processes preferred.
  • Ability to design and interpret benchmarks and evaluation metrics with a strategic mindset.
  • Conduct applied research and develop data science solutions for high-impact, real-world problems.
  • Design and implement data-centric evaluations to improve model outcomes and benchmark relevance.
  • Collaborate with cross-functional teams (data ops, research, engineering) to align priorities on data quality, modeling, and infrastructure.
  • Contribute to building or enhancing task taxonomies and scalable QA systems to improve training data signals.
  • Translate research outcomes into business value by driving measurable performance improvements.
  • Stay abreast of generative AI trends and their implications for data utility, model benchmarking, and downstream performance.
Posted about 12 hours ago
Apply
Apply
🔥 Senior Data Scientist / ML Engineer
Posted about 15 hours ago

📍 São Paulo, Rio Grande do Sul, Rio de Janeiro, Belo Horizonte

🏢 Company: TELUS Digital Brazil

  • Relevant experience in data science/ machine learning development
  • Bachelor and/or Master degree in Statistics, Mathematics, Physics, Computer Science or other related subject.
  • Proficiency in Python.
  • Experience with machine learning frameworks (like Keras, TensorFlow, or PyTorch) and libraries (like scikit-learn).
  • Strong understanding of machine learning algorithms, processes, tools and platforms.
  • Ability to work on distributed cloud platforms
  • Work on all aspects of the design, development and delivery of machine learning enabled solutions for our clients;
  • Come up with solutions to loosely defined business problems by leveraging pattern detection over complex datasets across multiple platforms;
  • Establish efficient, automated processes for large-scale modeling;
  • Become part of a highly skilled and geographically distributed team;
  • Collaborate with peers on problem definitions, data acquisition, data exploration, visualization as well as building the tools that support this process;
  • Strong sense of ownership, urgency and drive.

AWSBackend DevelopmentDockerPythonSoftware DevelopmentSQLApache AirflowCloud ComputingData AnalysisData MiningFlaskKubernetesMachine LearningMLFlowNumpyAlgorithmsData engineeringData scienceREST APIPandasCI/CDAgile methodologiesRESTful APIsDevOpsMicroservicesJSONData visualizationData modeling

Posted about 15 hours ago
Apply
Apply
🔥 Senior Data Scientist, GTM
Posted about 15 hours ago

📍 United States, Canada

💸 150000.0 - 180000.0 USD per year

🔍 Restaurant

  • Excellent SQL and Python skills
  • Strong data science and analytics background
  • Experience with SaaS and/or startups preferred
NOT STATED

PythonSQLData AnalysisETLMachine LearningBusiness OperationsData scienceAnalytical SkillsRESTful APIsData visualizationSaaS

Posted about 15 hours ago
Apply
Apply
🔥 Data Scientist – Commercial Insights
Posted about 21 hours ago

📍 UK, Europe, Africa

🔍 Software Development

  • Advanced expertise in machine learning, mathematics, statistics, and theoretical computer science.
  • Experience or academic publication in generative modelling (e.g., VAEs, GANs, diffusion models, or related methods)
  • Strong publication record in prestigious conferences (NeurIPS, ICML, ICLR)
  • Proven ability to translate academic research into practical, impactful algorithms
  • Experience with deep learning, reinforcement learning, or other specialized machine learning domains
  • Exceptional analytical, critical thinking, and problem-solving abilities
  • Conduct applied machine learning research and develop innovative algorithms to solve complex, real-world problems.
  • Prototype, test, and iterate advanced models, integrating state-of-the-art academic insights into practical solutions.
  • Actively engage with academic institutions to accelerate innovation and maintain M-KOPA's competitive advantage.

PythonData AnalysisKerasMachine LearningNumpyPyTorchAlgorithmsData scienceAnalytical SkillsRESTful APIsProblem-solving skillsData visualizationComputer skillsData modeling

Posted about 21 hours ago
Apply
Apply
🔥 Data Scientist – AV Safety
Posted about 21 hours ago

📍 United States

💸 101500.0 - 162100.0 USD per year

🔍 Automotive

🏢 Company: careers_gm

  • 2+ years of Data Science experience
  • Expertise in statistical modeling, machine learning and/or deep learning techniques
  • Experience generating insights from multiple large scale datasets
  • Proficiency SQL and/or Python
  • Experience with data visualization tools and techniques
  • Excellent communication and interpersonal skills, with ability to engage effectively with technical and non-technical stakeholders
  • Strong business consulting skills; ability to evaluate the big picture and solve strategic business problems
  • Develop scalable autonomous vehicle performance measurement solutions to ensure safe and compliant on-road behavior
  • Conduct statistical analysis to evaluate autonomous driving software
  • Raise the bar for on-road safety by continuously improving safety and autonomous vehicle measurement and developing a feedback loop for software improvements
  • Collaborate across various autonomous vehicle development teams, including GPSSC and Software & Services organizations
  • Stay up to date on industry trends and advancements in data science and AI/ML to drive innovation within the team

PythonSQLData AnalysisData MiningMachine LearningAlgorithmsData scienceCommunication SkillsAnalytical SkillsData visualizationData modeling

Posted about 21 hours ago
Apply
Apply
🔥 Risk Data Scientist
Posted about 21 hours ago

🧭 Contract

💸 115000.0 - 155000.0 USD per year

🏢 Company: Kiavi👥 251-500💰 $400,000,000 Debt Financing 7 months agoLendingFinancial ServicesReal EstateFinTech

  • Statistical skills especially in model development at an account or customer level.
  • Solid understanding of machine learning techniques
  • Strong programming skills in SQL, Python
  • Experience with data visualization tools like Tableau
  • Develop and maintain credit policies for loan underwriting.
  • Develop models for portfolio management purposes such as loss forecasting, loan modifications and collections
  • Develop analytical tools to support other teams
  • Working with the technology team, drive initiatives to enhance data capabilities and streamline infrastructure
  • Work closely with engineers/data infrastructure team in designing useful data attributes
  • Perform exploratory analysis and make recommendations on improving current data models, decisioning framework, etc.
  • Refactor existing analytic solutions to improve scalability
Posted about 21 hours ago
Apply
Apply
🔥 Data Scientist (Remote - US)
Posted 1 day ago

📍 United States

💸 120000.0 - 224000.0 USD per year

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed about 2 years agoInternet

  • 5+ years of hands-on data science experience with a degree in a quantitative field (e.g. Economics, Computer Science, Statistics)
  • Proficiency in Python or R for modeling and analysis, with expert-level SQL skills
  • Solid understanding of statistical methods, experimental design, and causal inference
  • Experience working with large datasets and data visualization tools (e.g., Looker, matplotlib, ggplot)
  • Strong communication skills, with the ability to translate complex insights into clear recommendations
  • Build and maintain machine learning models that drive decision-making across marketing strategies
  • Conduct A/B testing and use causal inference techniques to measure campaign effectiveness
  • Develop and communicate insights through exploratory data analysis to support budget and growth decisions
  • Define and monitor key performance metrics, identifying trends and potential improvements
  • Collaborate with analytics engineering to build scalable, analysis-ready data pipelines and batch processes
  • Contribute to best practices in data science and support internal knowledge-sharing within the analytics community

PythonSQLData AnalysisGitMachine LearningAirflowAlgorithmsData scienceRegression testingPandasCommunication SkillsAnalytical SkillsCollaborationProblem SolvingData visualizationData modelingData analyticsA/B testing

Posted 1 day ago
Apply
Apply
🔥 Senior Applied Data Scientist, Assortment Planning
Posted 1 day ago

📍 Finland, Sweden, Lisbon, the UK, and the US

🧭 Full-Time

🔍 Retail or consumer packaged goods

🏢 Company: RELEX Solutions👥 501-1000💰 over 1 year agoSoftware Development

  • 3-5 years of experience in full-stack data science, from ideation to production deployment and operations
  • Strong problem-solving skills, with the ability to translate business challenges into solutions that work in real life in a hyper-large environment with extremely high SLA requirements
  • Proficiency in Python, Azure, Snowflake
  • Proven track record of continuous learning and growth
  • Strong creative and independent thinking, questioning status quo
  • T-Shaped competency profile: generalist in many areas, but also deep understanding in some relevant areas
  • Excellent communication, business understanding, and teamwork skills.
  • Fluency in English
  • Develop and deploy solutions to solve real-world assortment planning challenges. We expect you to select and use the best tools for the job, but our current products are built using machine learning, optimization and deep learning. And in the end everything is just mathematics.
  • Work with large datasets to create scalable and trustworthy solutions that deliver measurable business value.
  • Collaborate with customers and other RELEX teams to identify opportunities and shape the R&D roadmap.
  • Communicate results and complex technical concepts effectively to stakeholders at all levels.
  • Proactively innovate new research ideas to be added to the Data Science roadmap
  • Actively collaborate with other teams in our department to find synergies and ways to make our product holistically better

PythonSQLData AnalysisMachine LearningSnowflakeAlgorithmsAzureData scienceCommunication SkillsProblem Solving

Posted 1 day ago
Apply
Apply
🔥 Lead Applied Data Scientist, Assortment Planning
Posted 1 day ago

🧭 Full-Time

🔍 Software Development

🏢 Company: RELEX Solutions👥 501-1000💰 over 1 year agoSoftware Development

  • 5+ years of experience in full-stack data science, from ideation to production deployment and operations
  • Proficiency in Python, Azure, Snowflake
  • Strong problem-solving skills, with the ability to translate business challenges into solutions that work in real life in a hyper-large environment with extremely high SLA requirements
  • Excellent communication, business understanding, and teamwork skills.
  • Develop and deploy solutions to solve real-world assortment planning challenges.
  • Work with large datasets to create scalable and trustworthy solutions that deliver measurable business value.
  • Collaborate with customers and other RELEX teams to identify opportunities and shape the R&D roadmap.
  • Communicate results and complex technical concepts effectively to stakeholders at all levels.
  • Own the Data Science roadmap for the Assortment area, and drive the long-term vision for the product
  • Actively collaborate across the company to implement cutting edge solutions to our product
Posted 1 day ago
Apply
Apply
🔥 Data Scientist – Commercial Insights
Posted 1 day ago

🧭 Full-Time

🔍 Fintech

🏢 Company: M-KOPA

  • Advanced expertise in machine learning, mathematics, statistics, and theoretical computer science.
  • Experience or academic publication in generative modelling (e.g., VAEs, GANs, diffusion models, or related methods)
  • Strong publication record in prestigious conferences (NeurIPS, ICML, ICLR)
  • Proven ability to translate academic research into practical, impactful algorithms
  • Experience with deep learning, reinforcement learning, or other specialized machine learning domains
  • Exceptional analytical, critical thinking, and problem-solving abilities
  • Conduct applied machine learning research and develop innovative algorithms to solve complex, real-world problems.
  • Prototype, test, and iterate advanced models, integrating state-of-the-art academic insights into practical solutions.
  • Actively engage with academic institutions to accelerate innovation and maintain M-KOPA's competitive advantage.
Posted 1 day ago
Apply

Related Articles

How to Overcome Burnout While Working Remotely: Practical Strategies for Recovery

Posted about 1 month ago

How to Overcome Burnout While Working Remotely: Practical Strategies for Recovery

Burnout is a silent epidemic among remote workers. The blurred lines between work and home life, coupled with the pressure to always be “on,” can leave even the most dedicated professionals feeling drained. But burnout doesn’t have to define your remote work experience. With the right strategies, you can recover, recharge, and prevent future episodes. Here’s how.



Read More

Top 10 Skills to Become a Successful Remote Worker by 2025

Posted 5 days ago

Top 10 Skills to Become a Successful Remote Worker by 2025

Remote work is here to stay, and by 2025, the competition for remote jobs will be tougher than ever. To stand out, you need more than just basic skills. Employers want people who can adapt, communicate well, and stay productive without constant supervision. Here’s a simple guide to the top 10 skills that will make you a top candidate for remote jobs in the near future.

Read More

Weekly Digest: Remote Jobs News and Trends (August 11 - August 18, 2024)

Posted 9 months ago

Google is gearing up to expand its remote job listings, promising more opportunities across various departments and regions. Find out how this move can benefit job seekers and impact the market.

Read More

Weekly Digest: Remote Jobs News and Trends (August 5 - August 11)

Posted 10 months ago

Read about the recent updates in remote work policies by major companies, the latest tools enhancing remote work productivity, and predictive statistics for remote work in 2024.

Read More

Tech Layoffs and the New Dynamics of Remote Jobs

Posted 10 months ago

In-depth analysis of the tech layoffs in 2024, covering the reasons behind the layoffs, comparisons to previous years, immediate impacts, statistics, and the influence on the remote job market. Discover how startups and large tech companies are adapting, and learn strategies for navigating the new dynamics of the remote job market.

Read More