Apply

Data Scientist

Posted 4 months agoViewed

View full description

💎 Seniority level: Senior, 3+ years

📍 Location: US, Canada, Europe

💸 Salary: 180000 - 210000 USD per year

🔍 Industry: AI and machine learning

🏢 Company: RunPod, Inc.

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: PythonSQLData AnalysisMachine LearningSnowflakeTableauStrategyAlgorithmsData scienceTensorflowCommunication Skills

Requirements:
  • Education: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
  • Experience: 3+ years in a Data Scientist or similar role, ideally in a SaaS or IaaS setting.
  • Proficiency in Python or R for data analysis and modeling.
  • Strong SQL skills for data extraction and manipulation.
  • Experience with predictive modeling including lookalike modeling, churn prediction, and LTV estimation.
  • Familiarity with revenue forecasting methods with multiple data inputs.
  • Knowledge of machine learning libraries like scikit-learn, TensorFlow, and data visualization tools such as Mode, Tableau, or Power BI.
  • Experience with data warehousing platforms such as Snowflake, Athena, or Redshift.
  • Strong communication skills for presenting findings to non-technical stakeholders.
  • Ability to work cross-functionally with product, engineering, and sales teams.
  • A proactive problem-solving mindset.
Responsibilities:
  • Build lookalike models to predict user profiles and algorithms for Customer Lifetime Value (LTV).
  • Identify key behaviors associated with retention and create churn prediction models.
  • Translate data discoveries into actionable recommendations for sales, product, and marketing teams.
  • Collaborate with stakeholders to promote data-driven initiatives focusing on user retention and engagement.
  • Develop dynamic revenue forecasts, accounting for signup rates, conversion metrics, and churn.
Apply

Related Jobs

Apply
🔥 Data Scientist
Posted 2 days ago

📍 Spain

🔍 Travel

🏢 Company: Exoticca👥 251-500💰 $65,071,052 Series D 8 months agoTravel AccommodationsAdventure TravelReservationsTravel

  • +3 years of work experience in a similar role as a BI/Data Scientist.
  • Previous experience working with Python and experience working with analysis toolssuch as Pandas, SciPy, Scikit, Jupyter/iPython notebooks, R.
  • Experience in statistical modelling and A/B or Multivariate test design andimplementation.
  • Knowledge of visualization tools like Tableau, Looker, Qlikview, etc.
  • Proficient building queries with SQL. (DBT is a plus)
  • Be part of a team that takes end-to-end responsibility for designing, building data solutions.
  • Work collaboratively with cross-functional teams to identify areas for AI-driven innovation and develop strategies for delivering them
  • Build, train and optimize machine learning models and algorithms to provide data-driven insights to clients
  • Define and update key metrics that help us understand the current status and forecast the future of our business.
  • Design and implement dashboards to visualize key metrics throughout the full customer journey, from lead to booking and post-travel.
  • Communicate results and insights from your analyses to top management.

PythonSQLData AnalysisETLMachine LearningQlikViewTableauData sciencePandasCommunication SkillsAnalytical SkillsProblem SolvingFluency in EnglishData visualizationData modelingA/B testing

Posted 2 days ago
Apply
Apply

📍 Canada

🔍 Cyber Security

🏢 Company: external

  • 2 to 5 years of proven track record of ML and deep learning industry experience
  • Advanced degree in Data Science, Statistics, Computer Science or a related field
  • Expertise in data science lifecycle and data modeling
  • Proficiency in SQL, Python and/or R
  • Using databases and big data systems
  • General programming skills a plus, including C/C++, JS and other common languages
  • Collaborating, analyzing, documenting and converging on software design and data modeling in a large group
  • Develop and train optimal ML models in big data environment for use in product features and with the purpose of maximizing business & product outcomes
  • Curate and manage telemetry, dataflows and workflow automation to operationalize and systemize creation and use of up-to-date ML models in a continuous improvement strategy
  • Perform the duties and rituals of an agile development lifecycle
  • Work with team and cross-team members to design, develop, debug and release production quality products

PythonSQLMachine LearningMLFlowAlgorithmsData scienceData visualizationData modeling

Posted 4 days ago
Apply
Apply

📍 United States

🧭 Full-Time

💸 135000.0 - 180000.0 USD per year

🔍 Software Development

🏢 Company: Smartsheet👥 1001-5000💰 $3,200,000,000 Post-IPO Debt 6 months ago🫂 Last layoff about 2 years agoSaaSEnterpriseSoftware

  • Bachelor's degree and 8+ years of experience (or 10+ years of experience)
  • Extensive knowledge and practical experience in several of the following areas: Applied AI, machine learning, statistics, propensity modeling, churn prediction and recommender systems
  • Strong programming skills in Python or R
  • Partner with Sales and Customer Success teams, understand their goals, and execute on opportunities to draw relevant insights and drive tangible impact
  • Develop and implement machine learning based Cross-sell/Upsell models and Product Recommender models to drive Sales & Monetization
  • Build and deploy predictive models for Customer Churn and identify proactive churn risk prediction signals to drive retention

AWSPythonSQLData AnalysisMachine LearningTableauData scienceCommunication SkillsAnalytical SkillsData visualization

Posted 5 days ago
Apply
Apply

📍 United States

🔍 Healthcare

  • Degree(s) in Machine Learning, Data Science, Statistics, Computer Science, Computer Engineering, Electrical Engineering, Physics, Applied Math or other quantitative fields
  • 1+ years industry experience in data science and predictive modeling
  • Knowledge of machine learning algorithms, statistical methods, and data mining techniques, with experience applying them to real-world problems
  • Familiarity with MLOps practices and tools for model deployment, monitoring, and management in production environments (e.g., Sagemaker, MLflow, or similar ML platform)
  • Experience with model governance including model versioning and experiment tracking
  • Strong proficiency in Python and SQL
  • Experience creating data pipelines to source new data for model building
  • Strong understanding of healthcare concepts, terminologies, and data (e.g., claims/EHR data, ICD, CPT)
  • Experience with big data technologies such as Spark
  • Drive development efforts on Experian Health priority data science and machine learning projects
  • Build data science models that addresses critical healthcare challenges for patients
  • Develop models from project ideation through production

PythonSQLCloud ComputingData AnalysisData MiningMachine LearningMLFlowData scienceREST APISparkAgile methodologiesData visualizationData modeling

Posted 5 days ago
Apply
Apply

📍 United States

🧭 Full-Time

💸 217000.0 - 303900.0 USD per year

🔍 Digital Advertising

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff almost 2 years agoNewsContentSocial NetworkSocial Media

  • M.S.: 10+ years of industry data science experience, emphasizing experimentation and causal inference.
  • Ph.D.: 6+ years of industry data science experience, emphasizing experimentation and causal inference
  • Master's or Ph.D. in Statistics, Economics, Computer Science, or a related quantitative field
  • Expertise in experimental design, A/B testing, and causal inference
  • Proficiency in statistical programming (Python/R) and SQL
  • Demonstrated ability to apply statistical principles of experimentation (hypothesis testing, p-values, etc.)
  • Experience with large-scale data analysis and manipulation
  • Strong technical communication skills for both technical and non-technical audiences
  • Ability to thrive in fast-paced, ambiguous environments and drive action
  • Desire to mentor and elevate data science practices
  • Experience with digital advertising and marketplace dynamics (preferred)
  • Experience with advertising technology (preferred)
  • Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like Bayesian approaches and causal inference to optimize complex ad strategies
  • Extract critical insights through in-depth analysis, developing automated tools and actionable recommendations to drive impactful decisions Define and refine key metrics to empower product teams with a deeper understanding of feature performance
  • Partner with product and engineering to shape experiment roadmaps and drive data-informed product development
  • Provide technical leadership, mentor junior data scientists, and establish best practices for experimentation
  • Drive impactful results by collaborating effectively with product, engineering, sales, and marketing teams

AWSPythonSQLApache AirflowData AnalysisHadoopMachine LearningNumpyCross-functional Team LeadershipProduct DevelopmentAlgorithmsData engineeringData scienceRegression testingPandasSparkCommunication SkillsAnalytical SkillsMentoringData visualizationData modelingA/B testing

Posted 6 days ago
Apply
Apply

📍 US, Canada, LATAM, UK, Europe

🧭 Full-Time

🔍 Software Development

🏢 Company: Eight Sleep👥 51-100💰 $86,000,000 Series C over 3 years agoConsumer ElectronicsWellnessHealth Care

  • Strong analytical skills
  • Marketing acumen
  • Experience with sales and marketing data
  • Experience building complex predictive demand and Media Mix models
  • Experience with SQL, R, Python, or other scripting and statistical tools
  • Work closely with the CFO, CEO, Growth and Finance teams, providing insights into business opportunities for incremental revenue growth
  • Develop and maintain predictive models for sales growth, customer behavior and lifetime value
  • Create a Media Mix Model that allows us to assess various scenarios for allocating spend across our various channels
  • Lead the quantitative analysis to provide insights that help the CEO, CFO, and VP of Growth understand marketing performance and member behavior
  • Create and maintain dashboards for key marketing metrics
  • Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
  • Identify opportunities for growth and efficiency in our marketing funnel
  • Translate complex data insights into actionable recommendations
  • Translate product objectives to data science problems and vice versa
  • Build analytical ETLs to power data science models

PythonSQLData AnalysisETLMachine LearningData scienceCommunication SkillsAnalytical SkillsRESTful APIsData visualizationMarketingFinancial analysisData modeling

Posted 8 days ago
Apply
Apply

📍 United States, Canada

🧭 Full-Time

💸 160000.0 - 200000.0 USD per year

🔍 Mobile Games

🏢 Company: thatgamecompany👥 101-250💰 about 3 years agoDeveloper ToolsVideo GamesConsole GamesFamilyMMO GamesSocial NetworkMobileOnline Games

  • 4+ years in data science for consumer apps or mobile games applications.
  • Proven experience working with user acquisition campaigns and developing data pipelines, reporting, and visualizations.
  • Proficiency in Python (or R), SQL, and statistical modeling tools.
  • Experience with visualization tools (Looker, Tableau, or QlikView) to build compelling data stories that communicate insights effectively.
  • Familiarity with SKAdNetwork, mobile attribution platforms (e.g., Adjust, Singular, AppsFlyer), and methodologies like media mix modeling and incremental measurement.
  • Analyze complex datasets to identify patterns, trends, and actionable insights that support new user acquisition and organic growth.
  • Create and manage dashboards, visualizations, and reports to uncover trends and insights that answer both strategic and operational questions.
  • Collaborate with the game development team to define and collect in-game data for analysis, aligning metrics with gameplay and business goals.
  • Define and improve critical metrics, frameworks, and tools that help teams understand player lifecycle and optimize LTV, loyalty, retention, and return.
  • Implement advanced statistical and machine learning techniques to optimize user acquisition and marketing campaigns, continuously improving the team’s analytical capabilities.
  • Design and execute experiments (A/B and multivariate tests) to evaluate marketing efforts and generate actionable recommendations.
  • Develop, maintain, and enhance SKAdNetwork (SKAN) ETL pipelines, conversion value frameworks, and attribution methodologies to support data accuracy and campaign analysis.
  • Work cross-functionally with Engineers, Business intelligence,  and analytics teams to improve data collection processes, spearheading efforts to capture meaningful metrics and streamline data implementation.

PythonSQLETLMachine LearningAlgorithmsData engineeringData scienceREST APIPandasData visualizationData modelingData analyticsA/B testing

Posted 9 days ago
Apply
Apply

📍 United States

🧭 Full-Time

🔍 Healthcare

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

  • Master’s or Ph.D. in a quantitative field such as Data Science, Computer Science, or a related discipline.
  • At least 5 years of experience in data science with a strong focus on healthcare analytics, machine learning, and NLP.
  • Proficiency in Python, Jupyter Notebooks, and libraries like Pandas, Numpy, and Scikit-learn.
  • Expertise in cloud technologies, with experience using AWS, Azure, and GCP for AI/ML model deployment.
  • Strong experience with Generative AI, LLMs, and cloud-based AI solutions.
  • Familiarity with healthcare data standards (HL7, FHIR) and HIPAA regulatory requirements.
  • Lead the design and deployment of machine learning and AI models, including NLP techniques, to address key healthcare challenges.
  • Develop and maintain scalable data analytics pipelines on cloud platforms (AWS, Azure, GCP).
  • Collaborate with product teams to identify healthcare issues and define data science solutions that align with business goals.
  • Conduct exploratory data analysis on both structured and unstructured healthcare data to generate insights.
  • Implement text classification, sentiment analysis, and named entity recognition models to support healthcare applications.
  • Mentor and provide technical guidance on GenAI and LLMs to other team members, ensuring best practices in model development.

AWSPythonGCPMachine LearningNumpyAzurePandas

Posted 13 days ago
Apply
Apply

📍 North America

🧭 Full-Time

🔍 Software Development

NOT STATED
NOT STATED

PythonSQLMachine LearningData engineeringData science

Posted 18 days ago
Apply
Apply
🔥 Data Scientist
Posted 19 days ago

📍 US

🔍 Healthcare

🏢 Company: Sully.ai👥 11-50💰 Series A 3 months agoArtificial Intelligence (AI)Electronic Health Record (EHR)Machine LearningHospitalAppsHealth CareSoftware

  • Experience using GenAI and deep learning and building predictive models
  • Experienced setting up ETL pipelines for data transformations
  • Experience owning entire product analytics dashboards
  • Experience working directly with executive team for Business Intelligence
  • Strong proficiency in Python, SQL, and Javascript
  • Enthusiasm for solving complex problems, unblocking issues for customers, and embracing a “wear many hats” in a fast paced startup environment
  • Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field (Master’s or PhD a plus)
  • Help our customers integrate and develop advanced recommendation and predictive models using our platform
  • Connect diverse data sources
  • Experiment with cutting-edge machine learning methods
  • Ensure our customers successfully leverage data science to meet their business goals
  • Work closely with a wide range of stakeholders (internal and external) to tackle ranking and personalization challenges and play a pivotal role in guiding our product direction while fostering an innovative, inclusive engineering culture
  • Be an of the box thinker and problem solver, finding innovative ways to consolidate data from various sources into a consistent data lake to build analyses, inferences and insights on top of
  • Work on data for AI/ML model training, evaluate models LLM prompts and more
  • Design and iterate on recommendation and discovery models for our customers’ use cases
  • Rapidly analyze data and identify performance optimization opportunities
  • Experiment with state-of-the-art pre-trained models (image, language, audio, video) to enhance discovery and personalization
  • Build strong, collaborative relationships with customers’ technical teams and leadership to ensure successful, long-term partnerships.

AWSPythonSQLArtificial IntelligenceCloud ComputingData AnalysisETLJavascriptMachine LearningNumpyAlgorithmsData engineeringData scienceREST APIPandasTensorflowData visualizationData modeling

Posted 19 days ago
Apply