Data Scientist Jobs

Discover remote data scientist opportunities worldwide. We've gathered the top positions to help you advance your career.

Data Scientist
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243 jobs found.

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๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ’ธ 170000.0 - 200000.0 USD per year

๐Ÿ” Healthcare

๐Ÿข Company: SmarterDx๐Ÿ‘ฅ 101-250๐Ÿ’ฐ $50,000,000 Series B 10 months agoArtificial Intelligence (AI)HospitalInformation TechnologyHealth Care

  • 3+ years of experience in data science, machine learning, or a related field, preferably in a product-driven environment.
  • Strong proficiency in Python and experience with machine learning frameworks such as PyTorch, or scikit-learn.
  • Deep understanding of statistical modeling, optimization techniques, and data analysis.
  • Experience working with structured and text data, including feature engineering and data preprocessing.
  • Ability to translate business objectives into data science problems and effectively communicate results to stakeholders.
  • Experience deploying machine learning models into production and optimizing model performance based on real-world feedback.
  • Strong collaboration skills and the ability to work across cross-functional teams including Engineering, Product, and Analytics.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps best practices.
  • Develop and refine modeling approaches in close collaboration with the Machine Learning Research team, iterating on experiments to improve model performance.
  • Execute rapid experimentation cycles, documenting learnings and identifying promising avenues for further development.
  • Support deployment efforts by creating standardized model endpoints and interfaces for seamless integration with product workflows.
  • Contribute to shared modeling infrastructure, building tools and utilities that accelerate experimentation and standardize workflows across teams.
  • Collaborate with Engineering, Analytics, and Product teams to integrate machine learning models into product workflows, ensuring they drive measurable business KPIs.
  • Adapt and enhance existing modeling approaches to drive impact in new product areas.
  • Identify product needs and communicate them effectively across the Data Science and Machine Learning Research Science teams.

AWSPythonSQLCloud ComputingData AnalysisMachine LearningPyTorchSnowflakeData scienceData modeling

Posted 1 day ago
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๐Ÿ“ LatAm

๐Ÿงญ Full-Time

๐Ÿ” Entertainment

๐Ÿข Company: Truelogic๐Ÿ‘ฅ 101-250ConsultingWeb DevelopmentWeb DesignSoftware

  • PhD in a quantitative field (or Masterโ€™s with 5+ years of experience in data science)
  • Strong background in machine learning, Gen AI, deep learning, probabilistic graphical models, active learning, anomaly detection, and image classification
  • Proficiency in Scala, Spark, Python, A/B testing, Bayesian statistics, graphical data structures, and functional programming
  • Extensive experience in mathematics and statistics
  • Proven ability to own and drive multiple large projects/data products
  • Skilled in conducting research from initial hypothesis to production-ready proof of concept
  • Ability to document findings and processes for both technical and non-technical audiences
  • Develop and implement ML and Gen AI algorithms
  • Design scalable solutions
  • Analyze large-scale location data
  • Assess data quality
  • Document findings
  • Collaborate with engineering for productionization
  • Communicate results

AWSDockerPythonData AnalysisImage ProcessingMachine LearningAlgorithmsData scienceData StructuresSparkRESTful APIsScalaData visualizationData modelingData managementA/B testing

Posted 1 day ago
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๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ” Software Development

๐Ÿข Company: Rockerbox๐Ÿ‘ฅ 101-250๐Ÿ’ฐ Seed about 9 years agoInternetAdvertisingAdvertising PlatformsMarketing

  • 5+ years of experience in data science.
  • Strong knowledge of statistical testing, experimental design, and regression modeling.
  • Proficiency in Python (NumPy, Pandas, Statsmodels, etc.); experience adapting R-based packages is a plus.
  • Familiarity with marketing analytics concepts such as campaign allocation and budget optimization.
  • Ability to translate complex statistical methodologies into actionable insights.
  • Strong problem-solving skills and experience working cross-functionally with engineering and product teams.
  • Own the end-to-end development of testing methodologies, ensuring statistical robustness.
  • Adapt, optimize, and iterate on the current testing packages, translating R-based methodologies into Python.
  • Design and implement statistical frameworks for campaign effectiveness measurement.
  • Work closely with engineering to integrate testing methodologies into the Rockerbox platform.
  • Conduct exploratory data analysis to refine test parameters and ensure accuracy.
  • Stay up to date with the latest causal inference and experimental design techniques.

PythonData AnalysisMachine LearningNumpyData scienceRegression testingPandasA/B testing

Posted 2 days ago
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๐Ÿ“ United Kingdom

๐Ÿงญ Full-Time

๐Ÿ” Analytics Consulting

๐Ÿข Company: Aimpoint Digital๐Ÿ‘ฅ 1-50ConsultingAnalyticsAdvice

  • Degree in Computer Science, Engineering, Mathematics, or equivalent experience
  • Experience with building high quality Data Science models to solve a client's business problems
  • Experience with managing stakeholders and collaborating with customers
  • 3+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.)
  • Ability to apply data science methodologies and principles to real life projects
  • Expertise in software engineering concepts and best practices
  • Become a trusted advisor working with clients to design end-to-end analytical solutions
  • Work independently to solve complex data science use-cases across various industries
  • Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights
  • Write code in SQL, Python, and Spark following software engineering best practices
  • Collaborate with stakeholders and customers to ensure successful project delivery

AWSLeadershipPythonSQLGCPMachine LearningMLFlowAlgorithmsAzureData engineeringData scienceREST APISparkCommunication SkillsAnalytical SkillsCI/CDProblem SolvingCustomer serviceAgile methodologiesData visualizationStakeholder managementData modelingSoftware Engineering

Posted 2 days ago
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๐Ÿ” Construction

  • Graduate degree or equivalent practical experience in statistics, computer science, applied math, operations research or related field
  • 4+ years working on technology-powered products and projects within the OR, supply chain optimization, or data science roles
  • Demonstrated understanding of the techniques and methods of modern algorithm development
  • Strong cross-functional communication skills
  • Create and enhance fleet management practices across the company through analytical techniques
  • Develop, from scratch, simulation experiments that lead to implemented optimization algorithms to solve our complex supply chain problems
  • Assist in identifying key KPIs and metrics to measure our companyโ€™s supply chain effectiveness
  • Help to identify the highest value next opportunities for OR within a big greenfield space, work cross-functionally to plan and build, and measure your significant business impact via experimentation
Posted 3 days ago
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๐Ÿ” Construction

  • Graduate degree or equivalent practical experience in statistics, computer science, applied math, operations research or related field
  • 4+ years working on technology-powered products and projects within the OR, supply chain optimization, or data science roles
  • Demonstrated understanding of the techniques and methods of modern algorithm development
  • Strong cross-functional communication skills
  • Create and enhance fleet management practices across the company through analytical techniques
  • Develop, from scratch, simulation experiments that lead to implemented optimization algorithms to solve our complex supply chain problems
  • Assist in identifying key KPIs and metrics to measure our companyโ€™s supply chain effectiveness
  • Help to identify the highest value next opportunities for OR within a big greenfield space, work cross-functionally to plan and build, and measure your significant business impact via experimentation
Posted 3 days ago
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๐Ÿ” Construction

  • Graduate degree or equivalent practical experience in statistics, computer science, applied math, operations research or related field
  • 4+ years working on technology-powered products and projects within the OR, supply chain optimization, or data science roles
  • Demonstrated understanding of the techniques and methods of modern algorithm development
  • Strong cross-functional communication skills
  • Create and enhance fleet management practices across the company through analytical techniques
  • Develop, from scratch, simulation experiments that lead to implemented optimization algorithms to solve our complex supply chain problems
  • Assist in identifying key KPIs and metrics to measure our companyโ€™s supply chain effectiveness
  • Help to identify the highest value next opportunities for OR within a big greenfield space, work cross-functionally to plan and build, and measure your significant business impact via experimentation
Posted 3 days ago
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๐Ÿ”ฅ Data Scientist
Posted 3 days ago

๐Ÿ“ United States

๐Ÿ’ธ 110000.0 - 140000.0 USD per year

๐Ÿ” Insurance

๐Ÿข Company: gaig_external

  • Bachelorโ€™s degree or above in Statistics, Mathematics, Actuarial Science or Computer Science with at least 2 years of relevant working experience
  • Possesses extensive expertise in machine learning algorithms and techniques, including supervised learning, unsupervised learning, and deep learning
  • Has in-depth knowledge of statistical analysis methods and their applications in data science
  • Highly proficient in Python and machine learning frameworks, with extensive experience in writing efficient, maintainable, and well-documented code
  • Has a working knowledge of PySpark, capable of performing basic data manipulation and processing tasks in a distributed computing environment
  • Basic understanding of SQL and experience writing queries to extract data
  • Experienced in optimizing data workflows for efficient large-scale data processing and analysis
  • Experience of working on a cloud-based ML platform is a plus; Experience of working with insurance related data is a plus
  • Innovate and implement cutting-edge machine learning algorithms, aiming to extract greater lift from our data and deliver enhanced value to our customers
  • Proactively seek out and identify useful attributes from various data sources to enhance our core data assets. Rigorously validate the utility and relevance of new data to ensure it contributes to the improvement of our models and insights
  • Conduct thorough descriptive and statistical analyses on customer data to uncover valuable patterns and insights. Apply creative analytical approaches to ensure that results are directly aligned with customer needs and support their business decision-making processes
  • Present results, findings, and models to customers and stakeholders with a high level of technical expertise and industry knowledge. Act as a technical expert, industry insider, and company promoter, ensuing that presentations are clear, informative, and persuasive
  • Work closely with other data scientists, engineers, product managers, and other stakeholders to integrate machine learning models and statistical analyses into our products and services. Ensure seamless collaboration and knowledge sharing across the teams
  • Keep up with the latest developments and trends in machine learning, data science, and the insurance technology industry. Apply this knowledge to continuously improve our models, methodologies, and approaches
  • Adhere to data privacy regulations and ensure that all data handling practices comply with relevant legal and ethical standards. Maintain the highest levels of data security and confidentiality

AWSPythonSQLCloud ComputingData AnalysisMachine LearningAlgorithmsData scienceRESTful APIs

Posted 3 days ago
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๐Ÿ“ United States

๐Ÿ” Biotech/Pharma

  • Strong background in machine learning (ML) modeling for scientific applications
  • Excellent written and oral English communication skills.
  • Ability to work in a global environment with teams at multiple sites.
  • Conceive, design and implement new solutions that solve significant scientific or business problems through the integration, visualization, and analysis of large and complex data.
  • Demonstrate the ability to resolve key project hurdles and assumptions by effectively utilizing available information and technical expertise.
  • Demonstrate high proficiency across a wide range of technologies related to the storage, transfer, integration, visualization, and analysis of large and complex data sets.
  • Demonstrate deep knowledge of the pharmaceutical and healthcare business, with a particular focus on the science done in CMC Development, and utilize this knowledge in the rapid advancement of impactful solutions.
  • Operate independently with guidance or oversight from a supervisor when needed.
  • Proactively seek out new information and technologies in the literature/public domain and incorporate into individual project(s) as well as the overall program
  • May mentor/supervise a team of one or more and guide and evaluate the performance of those individuals; is accountable for the effective performance of the team/individuals.
  • Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, and data security.

PythonSoftware DevelopmentSQLData AnalysisMachine LearningAlgorithmsData scienceData StructuresCommunication SkillsAnalytical SkillsData visualizationData modeling

Posted 3 days ago
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๐Ÿ“ Brazil, Mexico, Costa Rica, Argentina

๐Ÿงญ Full-Time

๐Ÿ” AI & Machine Learning

๐Ÿข Company: In All Media Inc

  • Python โ€“ Advanced proficiency in developing and optimizing machine learning models.
  • SQL โ€“ Strong experience in querying and managing large datasets.
  • Java โ€“ Proficiency in reviewing and optimizing code for machine learning applications.
  • Deep Learning & Large Language Models (LLMs) โ€“ Expertise in designing and implementing deep learning solutions.
  • Machine Learning & Model Deployment โ€“ Extensive experience in end-to-end ML pipeline development and deployment.
  • Data Pipeline Engineering โ€“ Proficiency in designing and maintaining scalable data pipelines.
  • Version Control Systems (Git) โ€“ Strong command of code versioning best practices.
  • Develop and implement end-to-end synaptic-based models prepared for production deployment.
  • Conduct comprehensive data exploration and preprocessing to ensure data quality, integrity, and readiness for analysis.
  • Design and optimize embeddings, retrieval models, and evaluation metrics to enhance model performance.
  • Architect, develop, and deploy machine learning models from the ground up, ensuring seamless integration with existing infrastructures.
  • Perform Java code reviews and write optimized SQL queries for efficient data processing.

PythonSQLGitJavaMachine LearningAlgorithmsData StructuresCI/CDRESTful APIsData modeling

Posted 3 days ago
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