Apply

Staff Data Scientist

Posted about 1 month agoViewed

View full description

💎 Seniority level: Staff, 6+ years

📍 Location: USA

💸 Salary: 159800.0 - 232300.0 USD per year

🔍 Industry: Fintech or a similar industry

🏢 Company: MQ Referrals Only

🗣️ Languages: English

⏳ Experience: 6+ years

🪄 Skills: AWSPythonSQLETLMachine LearningPyTorchSnowflakeTensorflow

Requirements:
  • Proficiency in programming languages such as Python, R, or Julia.
  • Strong SQL skills and experience designing and implementing ETL pipelines.
  • Experience with cloud-based data platforms (e.g., Snowflake, AWS) for large-scale data processing.
  • Solid understanding of statistical methods and machine learning models.
  • Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch).
  • 6+ years of experience in data science, data engineering, or a related field.
  • Master’s or Advanced degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline.
Responsibilities:
  • Build and deploy advanced models and algorithms to anticipate trends, address operational challenges, identify risks, and uncover opportunities.
  • Analyze large-scale payment processing data to uncover insights that improve financial outcomes, inform product development, and guide strategic decision-making.
  • Work directly with the CEO and Strategy & Operations team to tackle the company’s most critical operational challenges.
  • Translate complex data insights into clear, actionable recommendations that shape business strategy and drive organizational impact.
Apply

Related Jobs

Apply
🔥 Staff Data Scientist
Posted about 1 month ago

📍 California, Colorado, Illinois, Florida, Georgia, Massachusetts, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Texas, Virginia, Washington

🧭 Full-Time

💸 190000.0 - 210000.0 USD per year

🔍 Technology

🏢 Company: Crunchbase👥 101-250💰 $50,000,000 Series D over 2 years ago🫂 Last layoff over 1 year agoDatabaseInformation ServicesBusiness IntelligenceLead GenerationMarketing AutomationSoftware

  • Excellent communication skills to simplify complex issues.
  • Proven track record in dimensional data modeling and ETL pipeline development.
  • Proficiency in Python.
  • Familiarity with data warehousing technologies and cloud platforms.
  • Experience implementing NLP and ML algorithms in production environments.
  • Strong problem-solving skills.
  • Demonstrated leadership skills to guide and mentor team members.
  • Proficient with Google Office Suite or related software.
  • Architect and design new dimensional data models aligning with business objectives.
  • Build, monitor, and maintain analytics and production data ETL pipelines.
  • Develop tools for engineers and the Product team to query and analyze datasets.
  • Enable implementation of NLP and ML algorithms at scale.
  • Contribute to architecture design considering business requirements.
  • Mentor junior engineers and foster professional growth.
  • Collaborate with various teams to integrate solutions.
  • Evaluate and recommend tools to enhance data capabilities.
  • Communicate complex technical concepts to non-technical stakeholders.

PythonSQLETLMachine LearningData engineeringData science

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

📍 United States, Canada

🧭 Full-Time

💸 190000.0 - 235000.0 USD per year

🔍 Mining and mineral exploration

🏢 Company: KoBold Metals👥 101-250💰 $491,455,627 Series C 5 months agoArtificial Intelligence (AI)MineralMiningSoftware

  • An advanced degree in the physical sciences, engineering, computer science, or mathematics.
  • A minimum of 6 years post-degree work experience as a data scientist or data engineer.
  • Extensive experience with Python’s data science packages and general software engineering practices.
  • Experience in collaborative software development and familiarity with software engineering best practices.
  • Knowledge in cloud computing resources and building predictive models.
  • Broad skills in and knowledge of applied statistics and Bayesian inference.
  • Substantial understanding of machine learning algorithms.
  • Ability to design, scope and implement technical solutions to novel exploration problems.
  • Demonstrated ability to absorb and synthesize complex information.
  • Excitement about joining a fast-growing early-stage company.
  • Help develop KoBold’s proprietary software exploration tools.
  • Find and curate geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.
  • Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.
  • Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.
  • Develop and apply data processing, statistical, and physics-based techniques to geoscientific data and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.
  • Present to and collaborate with our external partners and stakeholders.

PythonCloud ComputingData AnalysisGitMachine LearningData visualization

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

📍 U.S.

🧭 Full-Time

💸 188000.0 - 225000.0 USD per year

🔍 FinTech

🏢 Company: Flex

  • Master’s or Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.
  • 6+ years of experience in data science, focusing on statistical modeling and machine learning.
  • Expertise in time series analysis and forecasting models, such as ARIMA, Prophet, and LSTM.
  • Strong proficiency in programming languages like Python or R and fluency in libraries like scikit-learn, TensorFlow, and PyTorch.
  • Experience with large datasets and cloud platforms like AWS or GCP.
  • Proven ability to apply complex statistical and machine learning techniques.
  • Excellent communication skills for explaining technical models to diverse audiences.
  • Strong problem-solving skills and collaborative abilities.
  • Design, build, and deploy sophisticated statistical and machine learning models to solve complex business problems.
  • Develop and apply advanced time series forecasting models to predict future trends and business outcomes.
  • Create and implement forecasting and optimization models to support critical business functions.
  • Use large datasets for exploratory data analysis to extract actionable insights.
  • Collaborate with cross-functional teams to define business problems and deliver modeling solutions.
  • Conduct robust A/B testing and model validation to assess performance.
  • Continuously improve model performance through experimentation and tuning.
  • Communicate complex findings to non-technical stakeholders via visualizations and reports.

AWSPythonCloud ComputingData AnalysisData MiningGCPMachine LearningData visualizationA/B testing

Posted 2 months ago
Apply
Apply
🔥 Staff Data Scientist
Posted 4 months ago

📍 Brazil, United States, Canada

🔍 Payments

NOT STATED
  • Responsible for maintaining risk controls at Trustly.
  • Develop machine learning models.
  • Conduct data analysis to mitigate risk.
  • Create a framework and infrastructure for risk management.
  • Aim to establish long-term competitive differentiation and value for Trustly.

PythonData AnalysisMachine LearningNumpyData science

Posted 4 months ago
Apply
Apply
🔥 Staff Data Scientist
Posted 4 months ago

📍 USA

🔍 Marketing technology, e-commerce

🏢 Company: Northbeam👥 11-50💰 $15,000,000 Series A over 2 years agoMachine LearningInformation Technology

  • Bachelor's degree in Mathematics, Computer Science, or a highly quantitative STEM field.
  • Strong understanding of statistics, linear algebra, probability, and machine learning.
  • Experience with regression, time series analysis, causal inference, statistical testing, Bayesian modeling, optimization, or signal processing.
  • Strong programming skills and ability to implement data science solutions using clean, interpretable, and maintainable code.
  • Expertise in Python.
  • Minimum 4+ years of professional experience as a data scientist, ML engineer, or quant, or 2+ years as a data scientist and 2+ years as a Software Engineer.
  • 2+ years of media or advertising experience.
  • Lead R&D for new and existing data science powered products at Northbeam.
  • Collaborate with engineering and product teams to take working proofs of concept into production.
  • Provide technical expertise and support for non-technical stakeholders.
  • Educate colleagues in other departments about the use of data science in marketing and advertising.

LeadershipPythonSoftware DevelopmentData AnalysisMachine LearningNumpyData sciencePandasCommunication SkillsAnalytical SkillsCollaborationData visualization

Posted 4 months ago
Apply
Apply

📍 United States

🧭 Full-Time

💸 220000 - 260000 USD per year

🔍 Identity verification, fintech

🏢 Company: SentiLink👥 11-50💰 $70,000,000 Series B over 3 years agoFraud DetectionInformation TechnologyCyber SecurityIdentity ManagementNetwork Security

  • 6+ years relevant work experience & relevant PhD or 8+ years & relevant Masters.
  • Proven track record of solving complex business problems using DS/ML solutions.
  • Experience communicating outcomes and progress to senior management and stakeholders.
  • Strong in end-to-end data science development from planning to delivery.
  • Practical knowledge of ML and statistical tools; familiarity with SOTA ML solutions is a plus.
  • Interest in developing deep domain expertise with a willingness to learn about fraud.
  • Experience writing production code and conducting tests.
  • Detail-oriented with the ability to make impactful business decisions.
  • Thrive in a fast-paced environment solving varied, high-impact problems.
  • Bonus: familiarity with identity solutions, fintech, or adjacent industries.
  • Develop and maintain SentiLink’s fraud detection models through the full model development lifespan.
  • Research new types of fraud and develop SentiLink products around identity verification.
  • Build foundational modeling to enhance the suite of Fraud and Financial Risk products.
  • Conduct iterative research and inventively engineer features.
  • Write reliable production-ready code for real-time decision making.
  • Design, perform, and present analyses to inform various operational priorities.
  • Collaborate with teams for data access and maintain data quality.

AWSPostgreSQLPythonMachine LearningProduct DevelopmentStrategyData science

Posted 4 months ago
Apply