Apply

Senior Data Scientist

Posted 2024-12-03

View full description

💎 Seniority level: Senior, 5+ years

📍 Location: United States, Brazil, Tel Aviv

🔍 Industry: Cybersecurity

🏢 Company: Axonius👥 600-600💰 $200.0m Series E on 2024-03-05Asset ManagementCloud SecurityInformation TechnologyCyber SecurityNetwork Security

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: PythonSQLData AnalysisMachine LearningMongoDBAlgorithmsData analysisProblem Solving

Requirements:
  • Proven expertise (5+ years) as a data scientist and machine-learning researcher.
  • Proven expertise (5+ years) in Python with production-level design and coding skills.
  • M.Sc. in Computer Science, Mathematics, Engineering or a related field with strong theoretical background in supervised & unsupervised modeling.
  • High-level experience with SQL and document-oriented databases (e.g., MongoDB), and big data.
  • Experience in data analysis and visualization.
  • Strong problem solving and critical thinking skills.
  • Background in Cybersecurity - an advantage.
Responsibilities:
  • Be part of the founding data-science team, implementing new and exciting features, end-to-end, along with the product team, focusing on the algorithmic and machine learning aspects embedded in all our products.
  • Apply scientific knowledge to analyze large volumes of diverse and unstructured data and develop algorithmic solutions and models.
  • Characterize and break down product use-cases effectively, choosing the right formalization and tools.
  • Research, design and apply advanced data processing technologies, contributing best practices to backend applications.
  • Build prototypes/POC/demos to conceptualize innovative ideas.
  • Manage the entire algorithmic lifecycle: data analytics, prototyping, implementing algorithms and machine-learning models, monitoring and maintaining them.
Apply

Related Jobs

Apply

📍 LATAM

🔍 Data Science Consultancy

  • MS degree in Statistics, Math, Data Analytics, or a related quantitative field.
  • 3+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting optimization.
  • Experience with one or more Advanced Data Science software languages (Python, R, SAS).
  • Proven ability to deploy machine learning models.
  • Experience with SQL and relational databases, query authoring and tuning.
  • Working familiarity with various databases including Hadoop/Hive.
  • Experience with Spark and data-frames in PySpark or Scala.
  • Comfortable with cloud-based platforms (AWS, Azure, Google).
  • Experience with Google Analytics, Adobe Analytics and/or Optimizely are a plus.

  • Working with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
  • Solving challenges through diverse Data Science solutions and aligning stakeholders on strategies, deliverables, and roadmaps.
  • Developing project plans with milestones, dates, owners, and risk contingency.
  • Creating and maintaining efficient data pipelines within clients' architecture using SQL, Spark, and Cloud technologies.
  • Assembling large, complex datasets that meet business requirements and constructing analytics tools to provide actionable insights.
  • Performing data cleaning, QC, and integration on an Advanced Data Science Platform, summarizing data issues and conducting statistical analysis.
  • Training, validating, and cross-validating predictive models using cutting-edge techniques and documenting results for client deliverables.

PythonSQLHadoopMachine LearningData scienceSpark

Posted 2024-11-22
Apply
Apply

📍 Alabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Washington, Washington, D.C.

🧭 Full-Time

💸 158400 - 207900 USD per year

🔍 Health insurance

🏢 Company: Oscar Health

  • 4+ years of industry or other quantitative technical fields (which may include academia)
  • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
  • 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
  • Bonus points: Advanced degree in a quantitative or technical field, experience in healthcare, finance and/or insurance industries

  • Works with team and manager to impact longer term strategies and roadmap
  • Sets shorter term roadmap for team
  • May manage data scientists and/or analysts
  • Interacts and collaborates closely with data and business counterparts across functional areas
  • Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses
  • Compliance with all applicable laws and regulations
  • Other duties as assigned

LeadershipPythonSQLMachine LearningNumpyData sciencePandasCommunication SkillsAnalytical SkillsCollaborationProblem SolvingAttention to detail

Posted 2024-11-22
Apply
Apply

📍 SF, LA, CHI, NY

🧭 Full-Time

💸 190800 - 267100 USD per year

🔍 Social media

  • 4+ years of data science and product analytics industry experience.
  • 2+ years of experience in product development focused on user experience; trust & safety experience is a bonus.
  • Proficiency with relational database (SQL), programming (Python), statistics, experimentation, and causal inference analyses.
  • Motivated and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments.
  • Ability to communicate and discuss complex topics with technical and non-technical audiences.
  • Ability to tackle ambiguous and undefined problems.

  • Use data to inform strategic directions of consumer safety and safety signals product development, and understand the impact of product launches.
  • Tactically support product development, product launch, and go-to-market.
  • Derive user insights and problem insights from data, and partner with User Research to combine qualitative and quantitative evidence for better decision-making.
  • Improve Safety Org’s logging/eventing, data warehouse, self-service analytics, and data practices.

PythonSQLProduct DevelopmentProduct AnalyticsData science

Posted 2024-11-21
Apply
Apply

📍 LATAM

🔍 Data Science Consultancy

  • MS degree in Statistics, Math, Data Analytics, or a related quantitative field.
  • 3+ years of professional experience in Advanced Data Science, including predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, and time series forecasting.
  • Experience with Advanced Data Science software languages, such as Python, R, or SAS.
  • Proven ability to deploy machine learning models.
  • Experience with SQL, relational databases, and query authoring and tuning.
  • Familiarity with Hadoop/Hive, Spark, and data-frames in PySpark or Scala.
  • Strong problem-solving skills and comfortable with cloud-based platforms (AWS, Azure, Google).
  • Experience with Google Analytics, Adobe Analytics, and/or Optimizely are a plus.

  • Working with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
  • Solving challenges through diverse Data Science solutions and aligning stakeholders on strategies, deliverables, and roadmaps.
  • Developing project plans with milestones, dates, owners, and risk contingency.
  • Creating and maintaining efficient data pipelines within clients' architecture using SQL, Spark, and Cloud technologies.
  • Assembling large, complex datasets that meet business requirements and constructing analytics tools to provide actionable insights.
  • Performing data cleaning, QC, and integration, conducting statistical analysis for decision-making, and documenting results for client deliverables.

PythonSQLHadoopMachine LearningData scienceSpark

Posted 2024-11-21
Apply
Apply

📍 US

🧭 Full-Time

🔍 Advertising technology

🏢 Company: Sojern

  • Strong problem-solving and analytical skills to understand business problems, develop hypotheses, and work with large datasets.
  • Intermediate/advanced proficiency level in analytical tools and techniques: SQL expertise, Python proficiency (e.g. pandas, statsmodels, sklearn, numpy), and spreadsheet usage.
  • 2+ years of experience as a data scientist, ideally within the advertising technology ecosystem.
  • Strong understanding of statistical concepts, measurement methods, and causal inference techniques.
  • Effective verbal and written communication skills for collaboration and presenting insights.
  • Curiosity and initiative with a mindset of asking 'why' and proposing impactful ideas.
  • Attention to detail to ensure high quality of delivery in analytical tasks, documentation, and business requirement gathering.
  • MS/PhD in a quantitative discipline or equivalent experience.

  • Collaborate across functional teams, including Product Managers, Software Engineers, Analysts, and Scientists to enhance the performance, delivery, and efficiency of Sojern’s AI-driven marketing products.
  • Lead scientific domain in experimentation projects from scoping, test design, implementation, measurement, and insights delivery.
  • Apply statistical analysis, hypothesis testing, quasi-experimental techniques to rigorously evaluate experiments and draw actionable and data-driven conclusions.
  • Communicate findings and recommendations to both technical and non-technical stakeholders to enable faster and more informed decision-making.
  • Identify opportunities to improve methodologies and processes and develop scalable solutions that drive impact.
  • Contribute to data-driven product roadmap and scientific project prioritization.
  • Train and mentor analyst members on scientific methodologies as needed to support team growth.

LeadershipPythonSQLData AnalysisNumpyTableauData analysisData sciencePandasCommunication SkillsAnalytical SkillsCollaborationMicrosoft ExcelAttention to detailWritten communication

Posted 2024-11-20
Apply
Apply

📍 United States

🔍 Data Science, Machine Learning, and AI

🏢 Company: Tiger Analytics👥 1001-5000AdvertisingConsultingBig DataNewsMachine LearningAnalytics

  • 5+ years of experience working as a GenAI Data Scientist.
  • Proficiency in Python, particularly in functional programming, managing dependencies, virtual environments, and version control in git.
  • Experience with sequential algorithms (e.g., LSTM, RNN, transformer).
  • Familiarity with Bedrock, JumpStart, HuggingFace.
  • Understanding of ethical implications of AI and red-teaming.
  • Expertise in supervised and unsupervised learning, deep learning, and transfer learning.
  • Experience with generative algorithms (e.g., GAN, VAE) and pre-trained models (e.g., LLaMa, SAM).
  • Experience in developing models from inception to deployment.

  • Collaborate with business partners to develop innovative solutions using advanced techniques and tools.
  • Experiment with generative AI products for tasks like data extraction and document summarization.
  • Fine-tune models and improve performance on specific tasks.
  • Collaborate with cross-functional teams to develop generative AI products.
  • Engineer features using business acumen for data combination.
  • Share knowledge with the enterprise community and develop long-term processes.
  • Coaching and learning within a growing team of experienced Data Scientists.

PythonData MiningGitMachine LearningStrategyAlgorithmsData miningData scienceAnalytical Skills

Posted 2024-11-18
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 your significant business impact via experimentation
  • Help shape best practices within the team, along with mentoring and developing junior data scientists

Machine LearningProduct DevelopmentData scienceCommunication SkillsMentoring

Posted 2024-11-12
Apply
Apply

📍 US

💸 150000 - 180000 USD per year

🔍 Healthcare

🏢 Company: Inspiren

  • At least 5 years of experience with data science.
  • Proven experience with analytics.
  • Outstanding analytical skills and a practical approach to problem-solving.
  • Ability to share skills and foster group learning.
  • Capability to manage timelines, quality, and delivery.
  • Effective collaborator who values cross-disciplinary delivery.
  • Experience in healthcare is NOT required.
  • Bonus points for experience with Health Care Data, Tableau, Pandas, and Matplotlib.
  • Desire to work in an early-stage startup.

  • Design, update, and maintain algorithms that power information and feedback from the Inspiren system.
  • Identify and integrate new datasets that can be used to provide additional insights from the Inspiren system.
  • Setup, own, and innovate on Inspiren’s data lake solution.
  • Create data visualizations as necessary.
  • Analyze data for trends and patterns.
  • Work with operations, sales, and product teams to understand business problems and develop data-driven solutions.

AlgorithmsData scienceAnalytical SkillsProblem Solving

Posted 2024-11-07
Apply
Apply

📍 US

🔍 Advertising technology

  • Strong programming skills.
  • Data Science background.
  • Willingness to work with internal teams to understand business needs.

  • Focus on building predictive models for business operations.
  • Identify customers likely to contribute significantly to revenue.
  • Predict customer churn and develop optimization strategies.

PythonData AnalysisData MiningMachine LearningNumpyAlgorithmsData analysisData miningData scienceGoPandasCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-11-07
Apply
Apply

📍 United States

🔍 Advertising Technology

  • A talented Data Scientist capable of leveraging the latest technologies.
  • Experience with data science methodologies and machine learning.
  • Ability to manage millions of requests and decisions.

  • Join the engineering team as a Data Scientist/Senior Data Scientist.
  • Expand data science efforts related to the advertising platform.
  • Address challenges in traffic, data storage, machine learning, and scalability.
  • Work with a platform connected to thousands of publishers and advertisers worldwide.

PythonData AnalysisData MiningMachine LearningNumpyAlgorithmsData analysisData miningData scienceGoPandasTensorflowCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-11-07
Apply