Apply

Senior Data Scientist

Posted 22 days agoViewed

View full description

💎 Seniority level: Senior, 5-8+ years

📍 Location: US

💸 Salary: 149600.0 - 227700.0 USD per year

🔍 Industry: SaaS

🏢 Company: Dropbox👥 1001-5000💰 $600,000,000 Debt Financing almost 8 years ago🫂 Last layoff almost 2 years agoPrivate CloudWeb HostingFile SharingEnterprise SoftwareCollaboration

🗣️ Languages: English

⏳ Experience: 5-8+ years

🪄 Skills: PythonSQLData AnalysisHadoopMachine LearningData visualizationA/B testing

Requirements:
  • Bachelor's or above in Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or a related field.
  • 5-8+ years of experience using analytics to drive business decisions in areas such as business/product/marketing analytics.
  • Proven ability to work independently and engage with stakeholders.
  • Significant experience with SQL and large unstructured datasets like Hadoop.
  • Deep understanding of statistical analysis, experimentation design, and analytical techniques.
  • Strong verbal and written communication skills.
  • Proficiency in programming/scripting and knowledge of statistical packages like R or Python.
Responsibilities:
  • Develop a deep understanding of customer journey phases and key business metrics.
  • Perform analytical deep-dives to analyze problems and opportunities, identifying hypotheses and designing experiments.
  • Inform experimentation design and roadmaps through exploratory analysis of user engagement.
  • Create segmentation strategies using propensity models for targeted offers.
  • Identify trends and build automated reports for acquisition and engagement tracking.
  • Extract actionable insights from large, complex customer behavior data sets.
  • Monitor experiments to optimize user experience and revenue.
Apply

Related Jobs

Apply

📍 United States

🧭 Full-Time

💸 115000.0 - 120000.0 USD per year

🔍 Higher education

🏢 Company: Common App

  • Bachelor’s degree in a quantitative social sciences discipline or related quantitative field.
  • 5-8 years of experience in data analysis, communication, or visualization.
  • 2+ years specifically in education-related data analysis or research.
  • Fluent in SQL and R.
  • Experience with validating imperfect data.
  • Experience managing large-scale datasets.
  • Familiarity with educational datasets like NCES and others.
  • Proven ability to communicate data findings to non-technical audiences.
  • Build the organization’s research and analytic function.
  • Engage with all aspects of the research function.
  • Produce externally facing research products.
  • Manage external research partnerships.
  • Support data-informed Common App initiatives.

Project ManagementSQLCloud ComputingData AnalysisData scienceData visualization

Posted 1 day ago
Apply
Apply

📍 US

🧭 Full-Time

💸 170000.0 - 200000.0 USD per year

🔍 Mental health care

🏢 Company: BetterHelp👥 101-250InternetMental HealthTherapeuticsWellnessHealth CareHealth Diagnostics

  • Master’s or Ph.D. in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
  • 5+ years of experience in data science, with at least 3 years in forecasting or time series analysis.
  • Strong background in building and deploying machine learning models, especially in financial contexts.
  • Proficiency in SQL, Python or R, with experience using libraries like Pandas, NumPy, StatsModels, Scikit-learn, TensorFlow, or Keras.
  • Solid understanding of time series analysis techniques, including ARIMA, exponential smoothing, and machine learning methods like LSTM and XGBoost.
  • Strong communication skills for presenting technical findings to non-technical stakeholders.
  • Familiarity with financial metrics and KPIs is a bonus.
  • Develop and refine predictive models for financial forecasting.
  • Use time series analysis techniques to build models that predict financial metrics.
  • Integrate macroeconomic and financial market data for enhanced forecasting.
  • Analyze historical financial data to identify trends and anomalies.
  • Collaborate with business leaders for data insights and strategic recommendations.
  • Create visualizations to communicate insights effectively.
  • Continuously improve and optimize forecasting models.
  • Scale models for production deployment.
  • Mentor junior data scientists and promote data-driven decision-making.
  • Stay updated with the latest in machine learning and financial modeling.

PythonSQLKerasMachine LearningNumpyPandas

Posted 3 days ago
Apply
Apply

📍 United States, United Kingdom

🏢 Company: EquipmentShare

  • Graduate degree, or equivalent practical experience, in statistics, computer science, machine learning, operations research or related field.
  • 5+ years working on technology-powered products as either a data scientist, ML engineer, research scientist or a closely related role.
  • Demonstrated understanding of the techniques and methods of modern product development.
  • Strong cross-functional communication skills.
  • Must be qualified to work in the United States or the United Kingdom - we are not sponsoring any candidates at this time.
  • Drive ongoing projects using a variety of ML, OR and statistical techniques in a full-stack data science environment.
  • Help to identify the highest value next opportunities for data science within a big greenfield space.
  • Work cross-functionally to plan and build, and measure your significant business impact via experimentation.
  • Help shape best practices within the team, along with mentoring and developing junior data scientists.

PythonSQLMachine LearningData science

Posted 8 days ago
Apply
Apply

📍 United States, United Kingdom

  • Graduate degree, or equivalent practical experience, in statistics, computer science, machine learning, operations research or related field.
  • 5+ years working on technology-powered products as either a data scientist, ML engineer, research scientist or a closely related role.
  • Demonstrated understanding of the techniques and methods of modern product development.
  • Strong cross-functional communication skills.
  • Must be qualified to work in the United States or the United Kingdom - we are not sponsoring any candidates at this time.
  • Drive ongoing projects using a variety of ML, OR, and statistical techniques in a full-stack data science environment.
  • Help to identify the highest value next opportunities for data science within a big greenfield space.
  • Work cross-functionally to plan and build, and measure significant business impact via experimentation.
  • Help shape best practices within the team.
  • Mentor and develop junior data scientists.

PythonSQLData AnalysisData MiningMachine LearningData science

Posted 9 days ago
Apply
Apply
🔥 Senior Data Scientist
Posted 20 days ago

📍 US

🧭 Full-Time

💸 162021.0 - 189000.0 USD per year

🔍 Advertising technology

🏢 Company: tvScientific👥 11-50💰 $9,400,000 Convertible Note 11 months agoInternetAdvertising

  • Ability to write and review production-level code in Python.
  • Excellent writing skills.
  • Strong statistics and machine learning fundamentals.
  • Desire to work in a fast-growing startup environment, with a focus on product ownership and scaling, and an experimental development process.
  • Adtech or CTV experience, publications, teaching experience, and experience with big data technologies like Scala, Apache Spark, Apache Beam, and AWS Athena are advantageous.
  • As a key member of the Data Science team, you'll turn data into actionable insights and drive business decisions.
  • You'll own analytics projects from inception to completion and develop customized reporting and analytics tools for clients.
  • You will also translate insights from reporting tools into the Data Science Product and serve as a technical lead and mentor.

AWSPythonData AnalysisMachine Learning

Posted 20 days ago
Apply
Apply
🔥 Senior Data Scientist
Posted 28 days ago

📍 United States

🧭 Full-Time

🔍 Consulting

🏢 Company: ICA.ai

  • Education: Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
  • Experience: 7 to 8 years of overall professional experience in data science, analytics, or a related field; at least 2–3 years specifically focused on LLMs.
  • Technical Proficiency: Coding experience with Python, C, R, Java, or Scala; statistical computer languages for data manipulation and model development; knowledge of ML techniques.
  • Familiarity with AWS services for scalable model development.
  • Preferred: Exposure to MLOps tools, big data technologies, or other cloud services.
  • Soft Skills: Excellent written and verbal communication skills; strong problem-solver; collaborative mindset.
  • Data Analysis & Modeling: Design advanced analytical models and establish best practices.
  • Client-Facing Presentations: Present complex data insights to diverse audiences, including executive stakeholders.
  • Predictive Modeling & Optimization: Develop models for predictive analytics and optimization.
  • Model Monitoring: Monitor the performance of models to ensure effectiveness.
  • Identify Opportunities: Identify and propose opportunities for innovative solutions.
  • Innovation & Strategy: Drive organizational transformation through advanced analytics.
  • LLM-Focused Development: Develop solutions utilizing large language models and related techniques.

AWSPythonSQLData AnalysisData MiningHadoopMachine LearningSpark

Posted 28 days ago
Apply
Apply
🔥 Senior Data Scientist
Posted 28 days ago

📍 United States

🧭 Full-Time

🔍 Data science, AI-driven consumer insights

🏢 Company: Resonate👥 101-250💰 Private over 2 years agoAdvertisingDigital MediaPredictive AnalyticsBrand MarketingMarketing Automation

  • Strong foundation in statistics, probability, and mathematics, with demonstrated proficiency in at least one of the following: TensorFlow, PyTorch, or JAX.
  • Proficient in Python and familiar with R (or a willingness to learn).
  • Proven experience in Machine Learning Ops, particularly in deploying and managing models in production environments.
  • A scientific mindset with the ability to solve problems through research, experimental design, hypothesis testing, and analysis.
  • Exceptional communication and collaboration skills, enabling you to explain complex concepts to non-technical audiences effectively.
  • A commitment to staying updated on the latest trends in deep learning and machine learning.
  • Build and deploy machine learning models to tackle complex business challenges, particularly in predictive analytics, segmentation, forecasting, and classification.
  • Work alongside fellow Data Scientists and ML Engineers to develop robust data and model pipelines, ensuring seamless integration and efficiency.
  • Assist in deploying models into production and monitor their performance while adhering to high governance standards.
  • Identify and recommend new machine learning applications within the organization, conducting research to uncover novel use cases.
  • Collaborate with the Product organization to create innovative products and solutions that meet business needs.
  • Understand and adhere to ethical principles in machine learning, ensuring fairness and mitigating bias in model development.

PythonMachine LearningPyTorchData scienceTensorflow

Posted 28 days ago
Apply
Apply
🔥 Senior Data Scientist
Posted about 1 month ago

📍 United States, United Kingdom

🧭 Full-Time

  • Graduate degree, or equivalent practical experience, in statistics, computer science, machine learning, operations research or related field.
  • 5+ years working on technology-powered products as either a data scientist, ML engineer, research scientist or a closely related role.
  • Demonstrated understanding of the techniques and methods of modern product development.
  • Strong cross-functional communication skills.
  • Must be qualified to work in the United States or the United Kingdom - we are not sponsoring any candidates at this time.
  • Drive ongoing projects using a variety of ML, OR and statistical techniques in a full-stack data science environment.
  • Help to identify the highest value next opportunities for data science within a big greenfield space.
  • Work cross-functionally to plan and build projects.
  • Measure business impact via experimentation.
  • Help shape best practices within the team and mentor junior data scientists.

PythonMachine LearningData science

Posted about 1 month ago
Apply
Apply
🔥 Senior Data Scientist
Posted about 2 months ago

📍 United States

🧭 Full-Time

🏢 Company: Avalore, LLC

  • PhD or Master’s in Computer Science, Machine Learning, Operational Research, or related field with 2 years professional/military experience; or BA/BS in related field with 6 years experience in predictive modeling and data science.
  • 5+ years of supervisory experience.
  • Outstanding communication skills, influencing abilities, and client focus.
  • Professional proficiency in English is required.
  • Current, active Top Secret security clearance.
  • Designs and architects AI and Data Science solutions using algorithms and quantitative methods.
  • Performs analysis and processing of data into feature sets for AI applications.
  • Develops guidelines for the ethical use of AI.
  • Authors organizational standards and presents papers on AI solutions.

PythonArtificial IntelligenceData AnalysisData MiningMachine LearningAlgorithmsData scienceData modeling

Posted about 2 months ago
Apply
Apply

📍 United States, Canada, Philippines

💸 125200.0 - 190600.0 USD per year

🔍 Home services marketplace

🏢 Company: Thumbtack👥 1001-5000💰 $275,000,000 Series G over 3 years ago🫂 Last layoff about 2 years agoHome ServicesLocalService IndustryProfessional Services

  • 5+ years of experience in data science, analytics or economics.
  • Experience managing stakeholders with competing priorities in areas such as Product Management, Design, Engineering and Marketing.
  • Experience scoping, analyzing, and communicating results of experiments.
  • Expert in SQL.
  • Strong communication skills and ability to build relationships cross-functionally and with leadership.
  • Bachelor’s, Master’s, or Doctoral degree in a technical area such as: Statistics, Engineering, Analytics, Math, Computer Science, Operations Research, Economics.
  • Propose and conduct quantitative research into key user behaviors, product flows, and business trends.
  • Design and analyze experiments and tests for causal inference.
  • Partner with product managers, engineers to scope new features.
  • Define and monitor key metrics; investigate changes and propose next steps.
  • Develop expertise in specific topic areas like Thumbtack search.
  • Contribute to team data culture through design and maintenance.

PythonSQLData AnalysisMachine LearningData science

Posted about 2 months ago
Apply