Apply

Senior Data Scientist

Posted 2024-10-24

View full description

💎 Seniority level: Senior, 3-5+ years

📍 Location: United States, Latin America, India

🔍 Industry: Data services and solutions

🏢 Company: phData

🗣️ Languages: English

⏳ Experience: 3-5+ years

🪄 Skills: AWSPythonSQLBashData AnalysisGCPMachine LearningNumpySnowflakeAlgorithmsAzureData analysisData scienceData StructuresCommunication Skills

Requirements:
  • Advanced degree or evidence of exceptional ability in engineering, computer science, mathematics, physics, chemistry, or operations research.
  • 3-5+ years hands-on experience in building models and developing algorithms for real-world applications.
  • Depth of knowledge in advanced mathematics, machine learning, and statistics.
  • Strong computer science fundamentals: data structures, algorithms, distributed systems.
  • Mastery of one or more data analysis languages such as R, Python, PySpark, and SQL.
  • Experience with data science tools including Python scripting, NumPy, SciPy, matplotlib, scikit-learn, Jupyter notebooks, bash scripting.
  • Experience with major data science algorithms and packages like XGBoost, Facebook Prophet, Random Forests.
  • Preferred familiarity with AWS, Azure, and Databricks, and experience with Generative AI and Large Language Models.
  • Exemplary verbal and written communication skills, previous consulting experience preferred.
  • Able to work under pressure, well organized, with attention to detail.
Responsibilities:
  • Collaborate closely with diverse stakeholders to gather business requirements and translate them into technical specifications.
  • Conduct data manipulation required for model pre- and post-processing.
  • Author reports, visualizations, and presentations to communicate processes and results.
  • Engage with interdisciplinary development teams to leverage MLOPs frameworks.
  • Take ownership for building models and implementing data science best practices.
  • Drive thought leadership in the data science community through open source contributions and presentations.
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

📍 Brazil

🔍 Corporate wellness

  • Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
  • Proficiency in Python and experience with machine learning frameworks like TensorFlow or PyTorch.
  • Knowledge of generative models, including GANs, VAEs, autoregressive models, and transformers.
  • Strong problem-solving abilities focused on experimental design and data analysis.
  • Excellent verbal and written communication skills in both English and Portuguese.

  • Identify opportunities to use GenAI to address business challenges.
  • Provide data insights and support product decisions by analyzing user behavior.
  • Fine-tune pre-trained models for specific use cases and collaborate on data preparation.
  • Develop prompts for generative models and collect large datasets for model training.
  • Stay updated on generative AI research and contribute through publications.
  • Work with cross-functional teams to integrate generative models into products.
  • Develop testing frameworks for model performance evaluation.
  • Maintain comprehensive documentation for models and processes.

PythonData AnalysisMachine LearningPyTorchProduct DevelopmentAlgorithmsData analysisData scienceGoTensorflowCommunication SkillsCollaborationWritten communicationDocumentation

Posted 2024-11-19
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

📍 India

🔍 Fintech

🏢 Company: Oportun

  • Master’s degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline.
  • 3+ years of experience validating and/or developing traditional statistical modeling methods applied in loss forecasting.
  • 3+ years of experience and knowledge of Fair Value Loan Loss Estimate process and modeling.
  • 1+ year of experience leveraging machine learning methodologies, such as GBM, XGBoost, and NLP.
  • 3+ years of practical quantitative programming experience with Python, SQL, Spark, or Scala.
  • 3+ years of experience in financial risk model development or validation.
  • Excellent writing and communication skills.
  • Team player with a willingness to help.

  • Conduct independent review and testing on traditional statistical modeling methods and AI/ML models used in loss forecasting, underwriting, marketing, collection management, and fraud detection.
  • Perform independent model validation on cutting-edge machine learning models and produce high-quality validation reports.
  • Communicate validation findings and mitigation actions to business audiences.
  • Work with business owners and model users to understand the context for model use and support the approval process.
  • Stay updated with regulatory expectations related to model development and validation activities.
  • Support the model risk management framework including annual validation plans and model governance practices.
  • Develop partnerships with key stakeholders.

PythonSQLMachine LearningData scienceSparkCommunication Skills

Posted 2024-11-09
Apply
Apply

📍 Ottawa, Eldoret, Penang, Columbus, Amsterdam, Nairobi, Toronto

🔍 Supply chain sustainability

  • Degree in a relevant discipline such as statistics, economics, mathematics, or computer science.
  • 5+ years of experience in data analysis or business intelligence.
  • At least 1 year in a Senior capacity in a B2B SaaS environment.
  • Expertise in SQL or a similar querying language.
  • Experience with Snowflake, DBT, Python, and Tableau.
  • Strong analytical thinking with the ability to interpret data trends.
  • Ability to translate complex data into simple narratives.
  • Meticulous approach to data quality.

  • Spearhead the development of data models and reporting frameworks aligned with strategic priorities.
  • Utilize advanced SQL, Snowflake, Python and DBT for data management and analysis.
  • Build and refine interactive dashboards using Tableau.
  • Collaborate with cross-functional teams to embed data-driven approaches.
  • Provide mentorship to junior analysts to enhance their skills.
  • Ensure data systems accuracy and integrity.
  • Stay updated on best practices in data analytics.

LeadershipPythonSQLBusiness IntelligenceData AnalysisSnowflakeTableauStrategyData analysisData engineeringAnalytical SkillsCollaboration

Posted 2024-11-08
Apply
Apply

📍 Argentina, Colombia, Costa Rica, Mexico

🔍 Data Science, Media, Production, Commerce, Content, Technology

  • Studies in Statistics, Engineering, and/or Computer Science.
  • 3+ years of business experience in Data Science, Business Intelligence or Econometrics.
  • Experience with Marketing Mix Model Modeling.
  • Proficiency with SAS and/or Python.

  • Uncover deep analytical insights to drive high-impact results for international clients.
  • Build statistical/econometric models (Marketing Mix) to explain and predict client business KPIs.
  • Aid in business planning including media mix, forecasting, and budget setting.
  • Synthesize results and translate findings into compelling stories for clients.

PythonData AnalysisNumpyData analysisData sciencePandasCommunication SkillsAnalytical SkillsCollaborationMicrosoft Excel

Posted 2024-11-07
Apply