Apply

Data Scientist

Posted 18 days agoViewed

View full description

💎 Seniority level: Senior, 5+ years

📍 Location: US, Canada

💸 Salary: 150000.0 - 170000.0 USD per year

🔍 Industry: Fraud Prevention

🏢 Company: Sardine👥 101-250💰 $70,000,000 Series C 4 months agoCryptocurrencyFraud DetectionFinTechSoftware

⏳ Experience: 5+ years

🪄 Skills: PythonSQLMachine LearningAlgorithmsData scienceSparkData visualizationData modeling

Requirements:
  • 5+ years of experience in data science or quantitative modeling, ideally in risk or fraud contexts
  • Advanced degree in a quantitative field (Mathematics, Statistics, Computer Science, Engineering, Economics, etc.)
  • Strong working knowledge of Python, R, Spark, SQL, or equivalent
  • Sharp critical thinking and creative problem-solving skills with a bias toward action
  • Proven ability to explain complex technical findings to non-technical stakeholders and clients
Responsibilities:
  • Champion a data-first approach across internal teams and client engagements, promoting clarity and impact
  • Build and deploy machine learning models to prevent fraud across diverse fintech use cases
  • Use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience
  • Work directly with clients to understand challenges and deliver high-impact, data-driven solutions
  • Evolve our risk metrics, the supporting datasets, and how we measure the causal impact of initiatives
  • Collaborate with engineering to scale models into production and optimize performance
Apply

Related Jobs

Apply

📍 USA

🧭 Full-Time

🔍 Software Development

🏢 Company: Spring & Bond👥 11-50Digital MarketingAdvertisingDigital MediaConsulting

  • Master’s degree in data science, Statistics, Mathematics, Computer Science, or related field (PhD preferred)
  • 5+ years of analytics experience
  • Minimum of 4 years’ hands-on experience in machine learning and relational databases.
  • Proficient in data manipulation using SQL, Python, and/or similar programming languages.
  • Solid understanding of media metrics, digital/social analytics, ad technology, and TV ratings.
  • Strong project-management skills managing cross-functional workflows.
  • Proven ability to build and maintain client relationships.
  • Mentor data scientists, fostering collaboration and professional growth.
  • Develop and execute a data-science strategy aligned with company objectives.
  • Design, implement, and optimize predictive models and machine-learning algorithms.
  • Partner with software engineers, product managers, and business units to deliver client-facing solutions.
  • Leverage SQL, Python, and R-Shiny to extract insights from large numeric and textual datasets.
  • Manage model lifecycle: design, training, evaluation, validation, and deployment.
  • Translate complex analytical results into clear business recommendations and compelling visualizations.
  • Define and track key performance indicators (KPIs), ensuring data accuracy, integrity, and security.
  • Analyze digital trends, user behavior, and product performance.
  • Oversee digital data infrastructure in Snowflake to maintain data health and quality along with Data Engineering team.
  • Create and maintain technical documentation (system flows, data flows, architecture diagrams) in GitHub repository.
  • Support measurement strategies, including learning agendas, test plans, and frameworks.
  • Collaborate regularly with stakeholders to address digital data needs and challenges.
  • Educate research and business teams on data-best practices and infrastructure.

PythonSQLData AnalysisMachine LearningSnowflakeAlgorithmsData scienceData visualizationData modeling

Posted about 20 hours ago
Apply
Apply

📍 United States, Canada

🔍 Healthcare

🏢 Company: Veradigm👥 5001-10000💰 $100,000,000 Post-IPO Equity almost 10 years agoInformation ServicesElectronic Health Record (EHR)HospitalInformation TechnologyHealth Care

  • Master’s degree in Data Science, Computer Science, Biomedical Informatics, or a related field.
  • Proficiency in Python and SQL.
  • Experience developing ML models, particularly with NLP techniques and libraries (spaCy, Scikit-learn, etc.).
  • Experience with Azure OpenAI or other large language models.
  • Familiarity with EMR systems, healthcare data standards (e.g. ICD-10, SNOMED).
  • Exposure to cloud environments and big data tools (e.g., Snowflake, Azure, Spark).
  • Demonstrated ability to work with clinical text and health data (e.g., EMRs).
  • Design, develop, and deploy NLP and ML models using Python to extract insights from unstructured and semi-structured clinical text.
  • Leverage Azure OpenAI and other LLM frameworks to enhance clinical data structuring and semantic understanding.
  • Partner closely with clinical subject matter experts to validate models, ensuring high precision and accuracy in clinical contexts.
  • Iterate on model development using feedback from real-world applications and clinician review.
  • Collaborate with Operations teams to design, implement, and optimize an end-to-end data science pipeline from R&D to production.
  • Ensure data integrity, reproducibility, and compliance with healthcare regulations and best practices.
  • Work with clients and stakeholders to identify key business problems and expected outcomes.
  • Explore and assess internal and external data sources to extract relevant features and patterns.
  • Communicate findings, methodologies, and actionable insights to both technical and non-technical audiences.

PythonSQLCloud ComputingData AnalysisETLMachine LearningAlgorithmsAzureData scienceData StructuresCI/CDRESTful APIsData visualization

Posted about 22 hours ago
Apply
Apply

📍 Texas, Denver, CO

💸 148000.0 - 189000.0 USD per year

🔍 SaaS

🏢 Company: Branch Metrics

  • 4+ years of relevant experience in data science, analytics, or related fields.
  • Degree in Statistics, Mathematics, Computer Science, or related field.
  • Proficiency with Python, SQL, Spark, Bazel, CLI (Bash/Zsh).
  • Expertise in Spark, Presto, Airflow, Docker, Kafka, Jupyter.
  • Strong knowledge of ML frameworks (scikit-learn, pandas, xgboost, lightgbm).
  • Experience deploying models to production on AWS infrastructure and experience with the basic AWS services.
  • Advanced statistical knowledge (regression, A/B testing, Multi-Armed Bandits, time-series anomaly detection).
  • Collaborate with stakeholders to identify data-driven business opportunities.
  • Perform data mining, analytics, and predictive modeling to optimize business outcomes.
  • Conduct extensive research and evaluate innovative approaches for new product initiatives.
  • Develop, deploy, and monitor custom models and algorithms.
  • Deliver end-to-end production-ready solutions through close collaboration with engineering and product teams.
  • Identify opportunities to measure and monitor key performance metrics, assessing the effectiveness of existing ML-based products.
  • Serve as a cross-functional advisor, proposing innovative solutions and guiding product and engineering teams toward the best approaches.
  • Anticipate and clearly articulate potential risks in ML-driven products.
  • Effectively integrate solutions into existing engineering infrastructure.

AWSDockerPythonSQLBashKafkaMachine LearningAirflowRegression testingPandasSparkRESTful APIsTime ManagementA/B testing

Posted 1 day ago
Apply
Apply

📍 United States

🧭 Full-Time

🔍 FinTech

  • Experience with R, Python, and machine learning tools
  • Evidence of applying advanced models to real-world problems
  • Advanced knowledge of SQL
  • Build, maintain, and improve decision systems and predictive models
  • Explore new data sources
  • Design and implement in-market experiments

PythonSQLAgileData MiningGitMachine LearningAlgorithmsData scienceCommunication SkillsAnalytical SkillsDevOpsData modeling

Posted 1 day ago
Apply
Apply
🔥 Sr Data Scientist
Posted 2 days ago

📍 United States

🧭 Full-Time

💸 211536.0 - 287100.0 USD per year

🔍 Software Development

🏢 Company: jobs

  • SQL and Python programming to query and validate the accuracy of datasets
  • Design and develop workflow orchestration tools
  • Python scripting to develop statistical and machine learning models for classification
  • Use agile software development principle to design, plan and structure deployment of software products
  • Develop machine learning models to segment customer behavior, identify market concentration and volatility using Python and Spark ML
  • Building KPIs (Key Performance Indicators) and metrics, validating using statistical hypothesis testing
  • Expertise in Cloud Computing resources and maintaining data on cloud storage
  • Big Data processing for data cleaning
  • Deploy self-serving data visualization tools, automating, generating reports and consolidating visually on tableau dashboards
  • Develop data engineering pipelines and transformations
  • Lead, build and implement analytics functions for Honey features
  • Conduct impactful data analysis to improve customer experiences and inform product development
  • Collaborate cross-functional support teams to build world-class products and design hypothesis-driven experiments
  • Gather and collate business performance and metrics to recommend improvements, automation, and data science directives for overall business performance
  • Present findings and recommendations to senior level/non-technical stakeholders
  • Maintain large datasets by performing batch scheduling and pipelining ETL operations
  • Perform ad-hoc exploratory analysis on datasets to generate insights and automate production ready solutions
  • Develop machine learning-based models to improve forecasting and predictive analytics
  • Implement innovative quantitative analyses, test new data wrangling techniques, and experiment with new visualization tools to deliver scalable analytics
  • Develop and create programming paradigms and utilizing tools like git, data structures, OOP, and network algorithms

PythonSQLCloud ComputingData AnalysisETLGitMachine LearningNumpyTableauAlgorithmsData engineeringData StructuresPandasSparkTensorflowAgile methodologiesData visualizationData modeling

Posted 2 days ago
Apply
Apply
🔥 Staff Data Scientist
Posted 2 days ago

📍 United States, Canada

🧭 Full-Time

💸 154000.0 - 247000.0 USD per year

🔍 Software Development

🏢 Company: Webflow👥 501-1000💰 $120,000,000 Series C about 3 years ago🫂 Last layoff 10 months agoCMSWeb HostingWeb Design

  • 5+ years of experience in a Data Science (or similar) position
  • Interest and experience in mentoring and developing the technical skills of your team members, helping to build a collaborative data science practice
  • Demonstrated experience working as a Data Scientist (or the equivalent in quantitative analysis), contributing to the strategic roadmap, providing high quality, reproducible analysis that impacts company strategy and decision making, building tools to enable scalable processes and enabling others to do the same
  • Expertise in applied statistics (e.g. predictive modeling, hypothesis testing, regressions), segmentation and experimentation (e.g. A/B testing) in an industry setting and the ability to explain concepts to technical and non-technical team members
  • Proficiency in SQL, and experience with a programming language like Python or R
  • Curious about diving into the nuances of our business and product data
  • Thrive collaborating with product teams in a fast-paced and sometimes ambiguous environment, solving complex and nuanced problems
  • Engage both technical and nontechnical audiences with clear and compelling communication
  • Stay curious and open to growth — actively building fluency in emerging technologies like AI to unlock creativity, accelerate progress, and amplify impact.
  • Lead high-impact projects to drive insights and decision-making across Webflow’s most critical initiatives.
  • Define and evolve product and business metrics in collaboration with cross-functional teams to measure user experience and product performance
  • Advance our experimentation capabilities, guiding design, statistical analysis, and interpretation of A/B tests, and championing a rigorous, iterative approach to product development.
  • Uncover growth opportunities through exploratory data analyses, customer segmentation, and predictive modeling that surface actionable insights across the customer journey.
  • Lead technical and non-technical team members with processes and technical expertise for executing experiments, answering open ended business questions with data, and researching levers for improving our product
  • Partner with stakeholders in Product, Engineering, Design, Marketing, and User Research to blend qualitative and quantitative insights, informing product direction and enhancing user experience.
  • Develop our data foundation collaborating on our strategic roadmap for building new pipelines and tools that contribute to our connected, complete understanding of our customer journey and improve our customer experience.

AWSProject ManagementPythonSQLData AnalysisMachine LearningCross-functional Team LeadershipAlgorithmsAPI testingData scienceCommunication SkillsAnalytical SkillsCI/CDProblem SolvingMentoringExcellent communication skillsTeamworkData visualizationStakeholder managementStrategic thinkingData modelingData managementA/B testing

Posted 2 days ago
Apply
Apply

📍 United States, Canada

🧭 Full-Time

💸 150000.0 - 180000.0 USD per year

🔍 SaaS

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

  • Advanced SQL and Python skills
  • Experience building and deploying data models
  • ML experience is a plus
  • Experience working in a SaaS or startup environment
  • Demonstrated ability to collaborate across cross-functional teams
  • Develop and optimize data-driven systems and analytics to support the GTM team
  • Lead initiatives to improve customer acquisition efficiency and lifetime value metrics
  • Build and maintain tools that leverage AI and automation to streamline sales processes
  • Perform deep-dive analyses into funnel performance and sales pipeline efficiency
  • Collaborate cross-functionally to ensure data is actionable and accessible
  • Contribute to the development of predictive models and machine learning applications
  • Drive improvements in reporting, data governance, and analytics practices
  • Explore and test new growth channels using data to guide experimentation
  • Lead or support strategic ad hoc projects that shape the company’s operations

AWSPythonSQLApache AirflowBusiness IntelligenceData AnalysisETLMachine LearningAlgorithmsData engineeringData scienceData StructuresREST APIPandasCommunication SkillsAnalytical SkillsProblem SolvingCross-functional collaborationData visualizationData modelingData analyticsData managementSaaS

Posted 3 days ago
Apply
Apply
🔥 Data Scientist 2
Posted 5 days ago

📍 United States

🧭 Full-Time

💸 148699.0 - 204600.0 USD per year

🏢 Company: jobs

  • Masters’s degree, or foreign equivalent, in Mathematics, Statistics, Analytics, or closely related field plus two years experience in the job offered or a related occupation.
  • Natural Language Processing and Sentiment Analysis, Tokenization
  • Design of Experiments - Analysis of Variance, Analysis of Covariance
  • Causal Inference for Quasi Experiments - Pre-Post Analysis, Difference in Difference (DiD), Propensity Score Matching (PSM), Synthetic Control (Coarsened Exact Matching)
  • Machine Learning & Statistical Modeling – Linear Regression, Logistic Regression, Decision Trees, Random Forest, Clustering Algorithms - KNN, K-Means, Artificial Neural Network, SVM, Naive Bayes Classification technique, Association Rule Mining
  • Product Analytics - Product Sense, A/B Testing and Experimentation, Data Analysis and Insights
  • Statistics – Descriptive, Probability, Sampling Distributions (Chi Sq, T, F, Z), Hypothesis Testing, Statistical Inference (Non-Parametric Tests)
  • Time Series Forecasting – Autoregressive Integrated Moving Average (ARIMA), Exponential Smoothing (ETS)
  • Tools - Tableau, Looker SQL - Advanced
  • SQL with Window functions (Rank determination, continuous distribution, population variance),
  • Python (Numpy, Pandas, Scikit Learn, Matplotlib, Scipy, web crawling, Plotly), R (ggplot), PySpark
  • Design and implement data and statistical models to gather, analyze and transform big data into consumer insights to impact product growth and strategy using Advanced Analytics and Data Science.
  • Define and cultivate best practices in analytics instrumentation and experimentation.
  • Synthesize large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders.
  • Set up A/B tests and perform statistical testing to assess the impact of new features before launch.
  • Create and monitor KPI dashboards for user interaction with product features on app and web using BigQuery, R, Python and Tableau and Looker.
  • Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes.
  • Partner closely with product, engineering, and other business leaders to influence product and program decisions supported data analysis.

PythonSQLData AnalysisMachine LearningNumpyTableauProduct AnalyticsData scienceRegression testingPandasSparkData visualizationData modelingA/B testing

Posted 5 days ago
Apply
Apply
🔥 Data Scientist
Posted 7 days ago

📍 USA

🧭 Full-Time

🔍 Software Development

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B about 1 year agoArtificial Intelligence (AI)Document Management

  • Proven experience as a Data Scientist, Data Analyst, or similar role working with large and complex datasets
  • Strong SQL skills; proficiency in Python (e.g., pandas, NumPy) is highly preferred
  • Experience with modern data tooling such as dbt, Airflow, or equivalent orchestration and transformation tools
  • Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker) to communicate insights effectively
  • Technical expertise in building scalable data models, ETL pipelines, and designing data architecture
  • Familiarity with cloud data warehouses such as Snowflake, BigQuery, or Redshift
  • Business acumen with the ability to translate data into strategic insights
  • Excellent problem-solving, collaboration, and communication skills
  • BSc/BA in Computer Science, Engineering, Math/Statistics, Business, or relevant field; graduate degree in quantitative field is preferred
  • Analyze large volumes of structured and unstructured data to uncover trends, patterns, and actionable insights
  • Define and track key metrics to evaluate firm, team, and engagement performance using Fieldguide’s industry-leading dataset
  • Design and build customer-facing analytics features and dashboards that deliver measurable value by uncovering opportunities and supporting strategic decision-making
  • Build and maintain scalable data infrastructure—including preprocessing, ETL pipelines, data modeling, orchestration, and monitoring—to support analytics and product insights
  • Lead efforts to improve data quality, completeness, and accessibility across internal systems and product experiences

PythonSQLData AnalysisETLNumpySnowflakeTableauAirflowAlgorithmsData engineeringData sciencePandasData visualizationData modeling

Posted 7 days ago
Apply
Apply

📍 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 8 days ago
Apply