Apply

Senior Data Scientist

Posted 3 months agoViewed

View full description

💎 Seniority level: Senior, Senior level expertise required

📍 Location: United States

💸 Salary: 100000 - 120000 USD per year

🔍 Industry: Energy analytics and forecasting

🏢 Company: Amperon👥 51-100💰 $20,000,000 Series B over 1 year agoArtificial Intelligence (AI)Test and MeasurementEnergy

🗣️ Languages: English

⏳ Experience: Senior level expertise required

🪄 Skills: PythonMachine LearningAlgorithmsData science

Requirements:
  • Senior expertise with building machine learning algorithms.
  • Extensive experience with data collection and data processing.
  • Experience with techniques like data cleaning, normalization, and feature engineering.
  • Experience with time series analysis and predictive modeling.
  • Experience with Python and other modeling tools.
Responsibilities:
  • Implement data validation and cleaning processes to identify and rectify errors or inconsistencies in the incoming data.
  • Build advanced time series forecasting models at scale.
  • Create relevant features that can improve forecasting accuracy, such as lag features, rolling statistics, and domain-specific variables.
  • Continuously monitor the training process and evaluate model performance on the validation set.
  • Deploy well-performing models into a production environment.
  • Analyze historical data and real-time information to determine changes in energy consumption.
Apply

Related Jobs

Apply

📍 United States of America

💸 83430.0 - 222480.0 USD per year

🔍 Healthcare and Analytics

  • 5+ years' experience in data science and advanced analytics.
  • 5+ years' experience writing complex SQL code.
  • 3+ years' experience with Python.
  • 3+ years' experience building ML models (e.g., Vertex AI or Amazon Sagemaker).
  • 2+ years' experience leveraging Cloud technologies (e.g., GCP, Azure, AWS).
  • 2+ years' experience in end-to-end model development.
  • 2+ years' experience in the US healthcare system.

  • Develops and/or uses algorithms and statistical predictive models.
  • Performs analyses of structured and unstructured data using advanced statistical techniques.
  • Collaborates with cross-functional teams to develop predictive modeling and performance metrics.
  • Develops presentations and consultations on analytics results and solutions.
  • Investigates problems using strong knowledge in algorithms and predictive models.
  • Explores large volumes of data with strong programming skills.
  • Partners with Data Engineering to ensure data availability and integrity.

AWSPythonSQLData AnalysisGCPMachine LearningSnowflakeAlgorithmsAzureData engineering

Posted 4 days ago
Apply
Apply

📍 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 8 days ago
Apply
Apply
🔥 Senior Data Scientist
Posted 16 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 16 days ago
Apply
Apply
🔥 Senior Data Scientist
Posted 16 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 16 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 1 month 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 1 month 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 1 month ago
Apply
Apply

📍 Canada, United States, Philippines

🔍 Home services

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

  • BA/BS degree, preferably in Economics, Statistics, Math, or Computer Science.
  • 3+ years in analytics, data science, or economics.
  • Passion for using data to drive business impact in an operational environment, including running A/B experiments and applying causal analysis techniques.
  • Strong written and verbal communication skills: ability to explain results to various audiences.
  • Strong experience using SQL for querying datasets and proficiency with data visualization software like Tableau or Looker.
  • Familiarity with statistics/programming languages such as R or Python.
  • Ability to detect and debug data anomalies in operational processes.
  • Demonstrated ability to self-motivate and drive projects independently while collaborating with cross-functional teams.

  • Partner with leaders of Thumbtack’s Commercial Strategy team to conduct in-depth quantitative analyses that guide strategic decisions.
  • Design and implement A/B tests, Market Based tests, and other experiments to measure impact of projects and new features.
  • Make recommendations based on detailed analysis and a deep understanding of our business.
  • Build and maintain reports, models, metrics, and visualizations which provide insight into users’ experiences and business performance.
  • Maintain SQL queries and Looker/Tableau dashboards that underpin analysis and reporting infrastructure.
  • Identify key drivers of core business outcomes through regression analyses and other statistical techniques.
  • Contribute to our team and company data culture through peer collaboration, training, coaching and more.

PythonSQLData AnalysisTableauData visualizationA/B testing

Posted about 1 month ago
Apply
Apply

📍 US

🧭 Full-Time

💸 150000.0 - 170000.0 USD per year

🔍 Protection plan industry

🏢 Company: Extend👥 51-100💰 $40,000,000 Series B over 3 years agoMobile PaymentsCredit CardsPaymentsFinTechSoftware

  • 3+ years of work experience building and deploying machine learning systems into production.
  • Previous experience building fraud detection or risk assessment tools is a strong plus.
  • Solid understanding of fundamental computer science concepts and software design best practices.
  • Expertise in Python/R and SQL.
  • Experience with AWS and dbt.
  • Excellent stakeholder management and cross-functional collaboration skills.
  • Detail-oriented with curiosity to understand user behavior.
  • Empathy and humility.

  • Develop technologies and strategies to prevent and detect claim fraud and abuse across a variety of post-purchase products.
  • Build and deploy machine learning models through all phases of development.
  • Maintain and evaluate models to ensure high performance and reliability.
  • Collaborate closely with product, engineering, and operations teams.
  • Cultivate a culture of learning and collaboration within and across partner teams.

AWSPythonSQLMachine Learning

Posted about 2 months ago
Apply
Apply
🔥 Senior Data Scientist (Platform)
Posted about 2 months ago

📍 United States, Canada

🧭 Regular

🔍 Digital driver assistance services

🏢 Company: Agero👥 1001-5000💰 $4,750,000 over 2 years agoAutomotiveInsurTechInformation TechnologyInsurance

  • 5+ years of equivalent experience from various educational backgrounds: Ph.D., Master's, or Bachelor's in a technical field.
  • Strong skills in statistics and data exploration, with knowledge of EDA best practices.
  • Advanced SQL experience; familiarity with Snowflake is a plus.
  • Experience in A/B testing and designing experiments.
  • Knowledge of machine learning, particularly with tabular data and tree-based models like XGBoost.
  • Proficiency in Python, including the data stack (Pandas, Numpy, Scipy, Matplotlib, PyTorch).
  • Good communication skills for technical documents and presentations.
  • Able to learn business needs and prioritize multiple assignments.

  • Participate in end-to-end data science projects from problem definition to result validation and model deployment.
  • Communicate research results effectively to various stakeholders.
  • Research and experiment with extensive datasets to gain insights and drive innovation.
  • Conduct analysis to optimize dispatching operations and improve customer satisfaction.

PythonSQLApache AirflowMachine LearningNumpyPyTorchSnowflakePandasA/B testing

Posted about 2 months ago
Apply