Remoote.app

Work from anywhere. Start here.

Free resume builderCompaniesLog in
Apply

Senior Data Scientist

Posted 3 days agoViewed

View full description

💎 Seniority level: Senior, 3-4 years

💸 Salary: 180000.0 - 220000.0 USD per year

🔍 Industry: Healthcare

🏢 Company: Clover Health👥 501-1000💰 $300,000,000 Post-IPO Equity over 3 years ago🫂 Last layoff about 2 years agoMedicalHealth InsuranceHospitalHealth Care

🗣️ Languages: English

⏳ Experience: 3-4 years

Requirements:
  • Advanced degree in a quantitative field (Master’s + 3-4 years of experience or Ph.D. + 2+ years of experience).
  • Strong foundation in probability, statistics, and machine learning tools, including SQL, Python, and relevant ML/statistical packages.
  • Successfully used data science to drive enterprise value in a business function.
  • Comfortable leading projects and have experience taking large-scale initiatives from concept to measurable business impact.
  • Improve the work of those around you through mentorship, code review, and leadership by example.
  • Clearly communicate how your work contributes to business goals, ensuring alignment with top-level company objectives.
Responsibilities:
  • Lead large-scale projects from ideation through enterprise impact.
  • Apply a broad problem-solving toolkit to develop both creative and practical solutions.
  • Evaluate trade-offs between out-of-the-box and customized solutions, optimizing for speed and effectiveness.
  • Implement scalable, bug-free, and well-tested solutions that reduce complexity rather than add to it.
  • Understand business challenges and deliver results that meaningfully solve key problems.
  • Proactively engage with stakeholders across all levels to align data science efforts with business needs.
  • Identify and mitigate risks early, preventing roadblocks that could arise later.
  • Serve as a trusted advisor and thought partner, ensuring projects are delivered on time and aligned with business objectives.
  • Mentor and collaborate with peers, improving team-wide problem-solving capabilities and technical execution.
Apply

Related Jobs

Apply
🔥 Senior Data Scientist
Posted about 3 hours ago

📍 United States

🧭 Full-Time

💸 140000.0 - 195000.0 USD per year

🔍 Fintech

🏢 Company: Plum Inc

  • Master’s degree in Computer Science, Engineering, Physics, or a related technical field.
  • 5+ years of experience developing and deploying machine learning pipelines in production.
  • 2+ years of experience building Generative AI or LLM-based applications.
  • Strong programming skills in Python, with hands-on experience in ML/AI frameworks (e.g., LangChain, Transformers, LLM APIs).
  • Deep understanding of LLM evaluation, prompt engineering, and text generation quality metrics.
  • Experience designing and implementing RAG architectures.
  • Hands-on experience with Databricks, MLflow, or similar platforms.
  • Experience with cloud infrastructure (AWS preferred) and MLOps practices for deploying and maintaining models in production.
  • Strong problem-solving skills and ability to lead through ambiguity.
  • Excellent communication and documentation habits.
  • Design and architect end-to-end Generative AI pipelines using LLMs to process and generate context-aware results.
  • Integrate open-source and proprietary LLMs (e.g., GPT, LLaMA) via APIs and custom orchestration.
  • Build and optimize workflows using frameworks such as LangChain
  • Design and implement RAG (Retrieval-Augmented Generation) architecture to inject relevant, contextual data into generation prompts.
  • Develop robust methods to evaluate and compare LLM outputs based on relevance, personalization, and factual accuracy.
  • Build automated and scalable LLM evaluation pipelines using embedding-based similarity, scoring metrics, and human-in-the-loop feedback.
  • Implement monitoring, observability, and logging for GenAI workflows to ensure reliability in production.
  • Collaborate with cross-functional teams to integrate generative outputs into client-facing applications.

AWSPythonCloud ComputingMachine LearningMLFlowData science

Posted about 3 hours ago
Apply
Apply
🔥 Senior Data Scientist
Posted about 23 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 23 hours ago
Apply
Apply
🔥 Senior Data Scientist / ML Engineer
Posted 1 day 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 1 day ago
Apply
Apply
🔥 Senior Data Scientist, GTM
Posted 1 day 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 1 day ago
Apply
Apply
🔥 Senior Data Scientist - Supply Chain - Myworkdayjobs.com
Posted 3 days ago

📍 United States of America

🧭 Full-Time

💸 105740.0 - 130620.0 USD per year

🔍 Supply Chain

🏢 Company: global

  • Bachelor’s degree or higher in Supply Chain, Computer Science, Engineering, Data Science or related technical field.
  • 7+ years of business experience with cross-functional Supply Chain experience.
  • Celonis software experience including areas such as process analysis, transformations, action flows and automations.
  • Advanced data visualization and design skills with data representation and presentation
  • Drive the execution of industry process intelligence solutions to ensure SC optimization and address critical business needs
  • Leverage strong technical acumen to advance data architecture strategy, data transformations, accuracy and availability
  • Identify and optimize complex operational processes through Celonis process digital twin development of data transformations, analyses, automations, action flows and predictive analytical apps

PythonSQLBusiness IntelligenceData MiningMachine LearningSnowflakeAlgorithmsData scienceData visualizationData modeling

Posted 3 days ago
Apply
Apply
🔥 Senior Data Scientist
Posted 3 days ago

🏢 Company: Tiger Analytics👥 1001-5000AdvertisingConsultingBig DataNewsMachine LearningAnalytics

Posted 3 days ago
Apply
Apply
🔥 Senior Data Scientist (GenAI)
Posted 3 days ago

🏢 Company: Tiger Analytics👥 1001-5000AdvertisingConsultingBig DataNewsMachine LearningAnalytics

Posted 3 days ago
Apply
Apply
🔥 Senior Data Scientist(GenAI)
Posted 4 days ago

📍 Canada

🏢 Company: Tiger Analytics👥 1001-5000AdvertisingConsultingBig DataNewsMachine LearningAnalytics

  • 5+ years of experience working as a GenAI Data Science.
  • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git
  • Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.)
  • Experience with Bedrock, JumpStart, HuggingFace
  • Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming)
  • Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning
  • Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.)
  • Experience developing models from inception to deployment
  • Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
  • Experiment, evaluate, and create generative AI products for a variety of tasks, such as extracting data, summarizing documents, and other generative model applications.
  • Use fine tuning and advanced knowledge retrieval methods to improve the performance of generative AI models on specific tasks
  • Evaluate the performance of models and make necessary improvements
  • Collaborate with other scientists, data engineers, machine learning operations engineers, prompt engineers, and product owners to develop generative AI products
  • Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources.
  • Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.
  • Stay connected with external sources of ideas through conferences and community engagements
Posted 4 days ago
Apply
Apply
🔥 Senior Data Scientist - Credit Underwriting
Posted 4 days ago

📍 United States

💸 195000.0 - 200000.0 USD per year

🔍 Fintech

🏢 Company: Clair👥 51-100💰 $25,000,000 Debt Financing almost 2 years agoHuman ResourcesFinancial ServicesBankingFinTech

  • 5+ years as a Data Scientist, with a strong focus on credit underwriting in the B2C fintech product space.
  • Proven experience with rules-based modeling, transaction labeling, and cash flow predictors.
  • Deep understanding of credit risk, including familiarity with relevant regulatory limits and compliance requirements.
  • Worked on a product that successfully went to market.
  • Proficient in Python, SQL, and data analysis tools.
  • Experience with financial data APIs like Plaid and handling unconventional datasets.
  • Strong background in statistical modeling, machine learning, and data visualization.
  • Ability to work with obscure data and deliver actionable insights.
  • Develop and refine rules-based models for transaction labeling (e.g., categorizing income buckets, expenses).
  • Build and optimize cash flow prediction models to assess user behavior and financial stability.
  • Conduct wage and hour assessments to ensure accurate and compliant financial modeling.
  • Analyze and interpret complex credit risk data, aligning models with regulatory requirements and limits.
  • Leverage Plaid and other financial APIs to process and analyze unconventional or obscure datasets.
  • Partner with engineering and product teams to bring data-driven insights into our product, ensuring scalability and reliability.
  • Collaborate across departments to align credit underwriting strategies with business goals.
  • Monitor and validate the performance of credit models post-launch, iterating as needed to optimize outcomes.
  • Stay current on regulatory changes and industry best practices in credit risk and financial modeling.

AWSPythonSQLData AnalysisData MiningMachine LearningAlgorithmsData scienceData StructuresPostgresRegression testingPandasCommunication SkillsAnalytical SkillsRESTful APIsData visualizationFinancial analysisData modeling

Posted 4 days ago
Apply
Apply
🔥 Senior Data Scientist - GenAI, remote across ANZ
Posted 5 days ago

📍 Australia, New Zealand

🔍 Software Development

  • Proven track record of using data to influence business decisions
  • Experience with experimentation, designing analytic events, and working with data warehouses
  • Experience with large datasets, and are comfortable in R or Python
  • Experience in a tech company that builds customer-facing web or mobile products
  • Excellent soft skills: attention to detail, clear communication (both written and verbal), and the ability to translate complex data into compelling narratives
  • Drive a data-first culture
  • Collaborate with Product, Engineering, and Design
  • Generate strategic insights
  • Design experiments
  • Influence with Metrics
  • Support with General Data Needs
  • Build Dashboards
  • Work with Natural Language Data

AWSPythonSQLApache AirflowData AnalysisData MiningMachine LearningNumpyAmplitude AnalyticsTableauProduct AnalyticsAlgorithmsData engineeringData scienceData StructuresRDBMSREST APIPandasCommunication SkillsAnalytical SkillsProblem SolvingAttention to detailWritten communicationExcellent communication skillsData visualizationStrategic thinkingData modeling

Posted 5 days 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