Data Scientist

Posted 2024-11-09

View full description

💎 Seniority level: Senior, 3+ years

📍 Location: US, Canada, Europe

💸 Salary: 180000 - 210000 USD per year

🔍 Industry: AI and machine learning

🏢 Company: RunPod, Inc.

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: PythonSQLData AnalysisMachine LearningSnowflakeTableauStrategyAlgorithmsData analysisData scienceTensorflowCommunication Skills

Requirements:

Education: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
Experience: 3+ years in a Data Scientist or similar role, ideally in a SaaS or IaaS setting.
Proficiency in Python or R for data analysis and modeling.
Strong SQL skills for data extraction and manipulation.
Experience with predictive modeling including lookalike modeling, churn prediction, and LTV estimation.
Familiarity with revenue forecasting methods with multiple data inputs.
Knowledge of machine learning libraries like scikit-learn, TensorFlow, and data visualization tools such as Mode, Tableau, or Power BI.
Experience with data warehousing platforms such as Snowflake, Athena, or Redshift.
Strong communication skills for presenting findings to non-technical stakeholders.
Ability to work cross-functionally with product, engineering, and sales teams.
A proactive problem-solving mindset.

Responsibilities:

Build lookalike models to predict user profiles and algorithms for Customer Lifetime Value (LTV).
Identify key behaviors associated with retention and create churn prediction models.
Translate data discoveries into actionable recommendations for sales, product, and marketing teams.
Collaborate with stakeholders to promote data-driven initiatives focusing on user retention and engagement.
Develop dynamic revenue forecasts, accounting for signup rates, conversion metrics, and churn.

Apply

Related Jobs

Apply

🔥 Data Scientist

Posted 2024-11-23

📍 Spain

🔍 Software, Information and Communication Technologies

🏢 Company: EUROPEAN DYNAMICS

Master’s degree in IT or relevant domain.
At least 3 years of experience in the development of algorithms related to data analysis.
At least 3 years of experience in using at least one of the following programming languages: Python, C, C++, R, Java.
At least 3 years of specific experience in the application of computer science methods and techniques to efficiently solve data-based problems.
Experience with software development and large databases/matrices.
Experience in assisting researchers with data-based solutions during testing, analysis, technical documentation, deployment, evaluation, and dissemination.
Excellent knowledge of MATLAB, MySQL or PostgreSQL.
Excellent knowledge of Java applications development and Visual Basic for Applications (VBA).

Data analysis and data modelling.
Management of existing databases related to the location and characteristics of existing alternative fuels charging infrastructure and the coverage they provide.
Preparation of updates of existing databases with the best possible newly available public datasets and privately sourced datasets.
Development and maintenance of spatial coverage analysis models.
Creation, coordination and review of interfaces for data communication between different models and frameworks.
Preparation of technical, scientific documentation and reports.
Interaction with the business analysts, customer, users, project leaders and the developers.

PostgreSQLPythonSoftware DevelopmentSQLCloud ComputingData AnalysisImage ProcessingJavaJavascriptMatlabMySQLOracleSpringVBAVisual BasicC++JavaScriptAlgorithmsData analysisAngularDocumentationCompliance

Posted 2024-11-23

Apply

🔥 Lead Data Scientist, Marketing Mix Modeling

Posted 2024-11-22

📍 19 states in the United States

🧭 Full-Time

💸 151000 - 177750 USD per year

🔍 Ecommerce

🏢 Company: Upwork

4+ years of experience in Marketing Data Science, including in-depth experience with Media Mix Modeling, data-driven attribution, customer lifetime value prediction, and recommender systems.
Demonstrable experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
Experience with experimentation/causal inference methods.
Proficiency in one or multiple BI tools such as Looker, Tableau or equivalent.
Previous experience in a marketplace or ecommerce business.

Work with large and complex data sets to build both descriptive and predictive Media Mix Models to measure the impact of marketing efforts and optimize those programs for maximum efficiency.
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop and execute strategies for our Marketing team.
Define, understand, and test opportunities and levers to improve Marketing efforts, and influence roadmaps through your insights and recommendations.
Partner with Marketing, Finance, Engineering, and cross-functional teams to inform, influence, support, and execute Marketing strategy and investment decisions.
Tackle complex problems uniquely inherent to our global double-sided work marketplace.

PythonSQLData MiningTableauStrategyData miningData science

Posted 2024-11-22

Apply

🔥 Sr. Data Scientist

Posted 2024-11-22

📍 AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MD, MA, MI, MN, MO, MT, NV, NM, NY, NC, OR, RI, TN, TX, UT, VT, VA, WA, WV, WI

🧭 Full-Time

💸 155000 - 190000 USD per year

🔍 Aerospace

🏢 Company: Slingshot Aerospace

Advanced degree (Ph.D. or MS plus 2 years experience) in mathematics, data science, physics, or related quantitative discipline.
Experience in quantitative research focusing on areas such as simulation modeling, reinforcement learning, or stochastic dataset construction.
Proficiency in algorithm development in programming languages like Python, Java, or C++.
Expert understanding of machine learning and deep learning.
Ability to work in multi-disciplinary teams and excellent communication skills.

Development of machine learning approaches, algorithms, and prototypes for business insights.
Create predictive models for Slingshot data science software products.
Design data science product development and outreach activities.
Build and refine simulation-based datasets, research, insights, and predictions.
Publish data science modeling insights and participate in a matrixed team.

LeadershipPythonJavaKotlinMachine LearningC++Product DevelopmentAlgorithmsData scienceCommunication SkillsWritten communication

Posted 2024-11-22

Apply

🔥 Senior Data Scientist

Posted 2024-11-22

📍 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

🔥 Senior Data Scientist, Safety Insights

Posted 2024-11-21

📍 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

🔥 Data Scientist

Posted 2024-11-21

📍 United States

🧭 Full-Time

🔍 Alternative investments

🏢 Company: K1X

PhD or Master’s degree in a relevant quantitative field (data science, mathematics, statistics), or equivalent experience.
6+ years of industry experience as a data scientist with a focus on NLP/NLU projects.
Demonstrated experience leading end-to-end data science project implementations.
Strong programming background in Python and a strong understanding of machine learning frameworks and libraries (e.g. scikit-learn, PyTorch, spaCy).
Excellent communication and collaboration skills, exceptional problem-solving skills.

Develop and optimize machine learning models for parsing, extracting, and categorizing data in PDF tax documents.
Collaborate with cross-functional teams to integrate machine learning solutions into our software products.
Apply statistical analysis to identify signals, trends, and insights that can inform product development.
Mentor and guide junior data scientists and team members, fostering a collaborative and innovative work environment.

PythonMachine LearningPyTorchProduct DevelopmentData scienceCollaborationAccounting

Posted 2024-11-21

Apply

🔥 Medical Data Scientist / Statistician (Full time - Remote Europe)

Posted 2024-11-21

📍 United Kingdom, Spain, Portugal, Poland, Romania

🧭 Full-Time

🔍 Healthcare, Medical Device Software

🏢 Company: RetinAI Medical

Master’s degree in Statistics, Biostatistics, Data Science, or a related field; PhD/MBA a plus.
Minimum 3 years of relevant work experience with bio-statistical projects and in healthcare/pharma fields.
Proven experience in statistical analysis and data science, preferably in clinical research.
Strong proficiency in Python and/or R; experience with Git and software development.
Experience analyzing medical datasets, familiarity with Real-World Evidence and Ophthalmology is a plus.
Strong communication, collaboration skills, and an entrepreneurial mindset.

Working with Real-World Evidence (RWE), Data Strategy, and Commercial teams to create and deliver data specifications for research projects.
Collaborating with engineering and machine learning teams to improve the data platform.
Providing informatics expertise to support data partner interactions.
Reviewing data quality, resolving issues, and participating in management of the common data model.
Designing and maintaining an automated data quality review process.

PythonSoftware DevelopmentData AnalysisGitData analysisData scienceCommunication SkillsCollaboration

Posted 2024-11-21

Apply

🔥 Data Scientist

Posted 2024-11-21

📍 United States

🧭 Full-Time

🔍 Cybersecurity

🏢 Company: GreyNoise Intelligence

5+ years of data science experience and/or an advanced degree in a relevant discipline (Data Science, Machine Learning, Operations Research, etc.).
Experience implementing machine learning techniques with real-world data, preferably in computer networking or cybersecurity; specifically clustering and anomaly detection.
Proficiency with machine learning frameworks and libraries such as PyTorch, scikit-learn, and numpy.
Experience with natural language processing (NLP) techniques and working with LLMs.
Strong programming skills in Python and familiarity with statistical analysis.
Experience in data visualization with a variety of tools and working with front-end developers to bring visualizations to production.
Familiarity with database and big data technologies (Elasticsearch, SQL, Snowflake, etc.).
Knowledge of cloud-based hosting and ML services, particularly AWS.
Understanding of containerization and deployment technologies like Docker and Kubernetes.
Ability to communicate technical concepts effectively, both to teammates and external audiences.
Excellent problem-solving skills and adaptability in a dynamic environment.

Develop and deploy machine learning models for real-time anomaly detection and threat identification.
Automate the discovery of interesting and anomalous data from our global honeypot network.
Research and implement new LLM technologies to help read and understand complex internet traffic patterns.
Integrate new visualizations and statistical models into our product to enhance user experience and data interpretation.
Ensure data quality by collaborating with infrastructure engineers to develop tests and alerts for detecting defects and determining their origin.
Optimize data pipelines in collaboration with data engineers for efficient data processing.
Interface directly with customers to capture analytical requests and translate them into actionable engineering requirements.
Present findings through social media, blogs, and conferences to engage with the broader community.
Stay current with the latest AI/ML research and cybersecurity trends to continuously improve our solutions.
Monitor and tune ML models in production environments to ensure scalability and reliability.

AWSDockerPythonSQLElasticSearchKubernetesMachine LearningNumpyPyTorchSnowflakeProduct DevelopmentData scienceElasticsearchCollaborationDocumentation

Posted 2024-11-21

Apply

🔥 Senior Data Scientist

Posted 2024-11-21

📍 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

🔥 Senior Data Scientist

Posted 2024-11-20

📍 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

Data Scientist

Requirements:

Responsibilities:

Related Jobs

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities