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Senior Data Scientist
Posted 7 days agoViewed
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🔥 Senior Data Scientist, Investing Data Science
Posted about 2 hours ago
📍 Canada
🔍 Fintech
- Excellent Python and SQL skills, first hand experience working with popular Python libraries such as Pandas, scikit-learn, numpy and Jupyter
- Strong understanding of statistics: both frequentist and Bayesian approaches
- Strong understanding of fundamental machine-learning algorithms: regression and decision trees
- Analyze user behaviour to understand how clients interact with the product
- Develop and implement experiments to evaluate new features and product changes
- Apply causal inference methods in non-experimental settings
- Use machine learning algorithms to segment users and personalize product experiences
- Develop and maintain core data models and pipelines to ensure data quality and accessibility
PythonSQLMachine LearningNumpyAlgorithmsData scienceRegression testingPandasData modeling
Posted about 2 hours ago
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🔥 Senior Data Scientist, Growth - Remote - US & Canada
Posted about 18 hours ago
📍 United States, Canada
💸 160000.0 - 200000.0 USD per year
🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed about 2 years agoInternet
- Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related field; equivalent experience is also considered.
- 4+ years of experience in data science, particularly within consumer apps or mobile game applications.
- Proven experience working on user acquisition campaigns and developing data pipelines, reporting, and visualizations.
- Proficiency in Python (or R), SQL, and statistical modeling tools.
- Experience with data visualization tools like Looker, Tableau, or QlikView.
- Familiarity with SKAdNetwork, mobile attribution platforms (e.g., Adjust, Singular, AppsFlyer), and methodologies like media mix modeling and incremental measurement.
- Exceptional communication skills, with the ability to translate complex data findings into clear insights for non-technical stakeholders.
- Strong analytical and problem-solving skills with the ability to approach challenges proactively.
- Analyze and interpret complex datasets to identify trends, patterns, and insights that drive user acquisition and organic growth.
- Design and maintain dashboards, visualizations, and reports that provide actionable insights for both strategic and operational decisions.
- Collaborate closely with the game development team to define and collect in-game data, ensuring that metrics align with business and gameplay goals.
- Implement advanced statistical techniques and machine learning models to optimize user acquisition and marketing efforts.
- Design, execute, and analyze experiments (A/B and multivariate tests) to assess marketing campaigns and provide actionable recommendations.
- Develop and manage ETL pipelines, attribution methodologies, and conversion value frameworks to ensure data accuracy in campaign analysis.
- Work cross-functionally with Engineers, Business Intelligence, and Analytics teams to improve data collection processes and streamline data implementation.
AWSPythonSQLData AnalysisETLMachine LearningAlgorithmsData scienceMobile testingCommunication SkillsAnalytical SkillsReportingData visualizationData modelingA/B testing
Posted about 18 hours ago
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🔥 Senior Data Scientist, Machine Learning
Posted 1 day ago
💸 160000.0 - 190000.0 USD per year
🔍 Mental Health Care
🏢 Company: Alma👥 251-500💰 $130,000,000 Series D over 2 years ago🫂 Last layoff 6 months agoMental HealthMedicalWellnessHealth Care
- Master’s degree in a relevant quantitative field (e.g. data science, computer science, statistics, economics) or equivalent in industry experience
- 2-4 years of experience as a data scientist supporting product development
- Expert in SQL
- Proficient in either R or Python for data analysis
- Successfully developed and launched ML models with quantifiable business impact
- Experience designing and analyzing A/B testing experiments and guide product decisions with experimental insights
- Improve client and provider experience by building machine learning models to solve business problems such as provider-client matching and LTV prediction
- Design, execute, and analyze A/B testing experiments to measure model performance and validate product hypotheses
- Define metrics and create dashboards to measure product performance
- Generate insights through deep-dive analysis to inform strategy and prioritization
- Collaborate with product, engineering, and marketing stakeholders to define the product roadmap
- Identify opportunities and initiate new data science projects that drive company OKRs
- Communicate technical insights effectively to influence decision-making
Posted 1 day ago
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🔥 Senior Data Scientist
Posted 2 days ago
📍 United States
🧭 Full-Time
🔍 Real Estate
🏢 Company: Property Leads👥 11-50Real Estate
- 4+ years of experience working with real estate data, particularly niche data sets (divorce, bankruptcy, probate, etc.).
- Proficiency in data analysis and engineering tools (e.g., SQL, Python, Pandas, Excel).
- Experience with data platforms and lead generation tools (e.g., PropStream, BatchLeads).
- Experience developing scoring models, predictive features, or data-driven segmentation.
- Strong understanding of ETL pipelines, public record APIs, and/or scraping strategies
- Proven ability to source and curate high-quality leads.
- Meticulous attention to detail and a passion for clean, actionable data
- Excellent communication skills and a collaborative, fast-moving mindset.
- Source and analyze specialized real estate data sets, including: Divorce records Bankruptcy filings Probate cases Tax liens, pre-foreclosures, and other distressed property indicators
- Develop and maintain efficient processes for extracting, cleansing, and managing data from multiple sources.
- Identify patterns and insights in data to improve lead targeting and conversion rates.
- Collaborate with the marketing and sales teams to create actionable lead lists and improve outreach strategies.
- Stay current with trends and tools in real estate data sourcing and analysis.
- Ensure data accuracy, completeness, and compliance with relevant regulations.
- Provide input into data roadmap, tooling decisions, and long-term analytics strategy
- Mentor junior analysts or data contributors (as team grows)
PythonSQLData AnalysisData MiningETLMachine LearningData sciencePandasRESTful APIsData visualizationLead GenerationData modeling
Posted 2 days ago
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🔥 Senior Data Scientist
Posted 5 days ago
🏢 Company: StreamElements👥 101-250💰 $100,000,000 Series B over 3 years ago🫂 Last layoff about 2 years agoDeveloper ToolsVideo StreamingMedia and EntertainmentContent CreatorsMusic Streaming
- Knowledge of one or more machine learning, statistical modeling, and optimization techniques relevant to StreamElement’s business.
- Ability to methodically understand business context, define value propositions, and formulate complex data problems.
- You have a deep analytical background with extensive experience executing complex analyses to drive organizational progress.
- Ability to own key deliverables and use creative problem solving to deliver projects on time and iterate when necessary.
- Knowledge of end-to-end software development, deployment, and monitoring workflows.
- Proficiency in visualization tools such as Tableau, Shiny, or Seaborn.
- Extensive experience in relational algebra, building SQL queries across complex relational databases.
- Experience designing scalable data models and ETLs with tools like DBT.
- Drive strategic projects and measure the impact of the implemented recommendations.
- Design and execute multi-disciplinary data science solutions effectively and efficiently.
- Autonomously leverage an advanced analytical toolkit to execute complex analyses, visualization and storytelling.
- Partner with business leaders to work effectively across multiple technical teams to solve problems.
- Further the team’s technical capabilities by bringing novel methods from the field into StreamElements through research, software development, and teaching others.
- Help create and promote an inclusive environment where team members feel comfortable and empowered.
Posted 5 days ago
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🔥 Senior Data Scientist- Brand Experience, remote across ANZ
Posted 6 days ago
📍 Australia, New Zealand
🔍 Software Development
- Drive impact with data
- Excel in core data science skills
- Demonstrate key soft skills
- Bring additional technical expertise
- Have a strong analytical foundation
- Understand the dynamics of tech companies
- Have hands-on experience with large-scale data
- Uncovering strategic insights
- Designing and analyzing experiments
- Defining and influencing with metrics
- Providing data for decision-making
PythonSQLData AnalysisData MiningMachine LearningNumpyTableauProduct AnalyticsAlgorithmsData scienceData StructuresPandasCommunication SkillsAnalytical SkillsData visualizationData modelingData analyticsA/B testing
Posted 6 days ago
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🔥 Senior Data Scientist - International Marketing, remote across ANZ
Posted 6 days ago
- You have deep knowledge of marketing measurement, including attribution, MMM, incrementality testing, and assessing marketing efficiency.
- You have experience with understanding marketing efficiency and building dashboards that effectively communicate results and outcomes
- You have competency with SQL; experience with data warehouses such as Snowflake, Redshift, or BigQuery is a plus!
- You know how to wrangle and analyze data using Python or R.
- You’re experienced in working with international teams and understand the nuances of collaborating across cultures and markets.
- Acting as a strategic partner to International Marketing teams, helping to define and refine global growth and marketing strategies.
- Developing innovative frameworks for marketing measurement, including attribution methodologies, marketing mix modeling (MMM), and incrementality testing, to assess the impact of our marketing investment across diverse regions.
- Work closely with collaborators throughout Canva to develop insightful analysis and recommendations.
- Serving as a thought leader in data strategy, aligning teams around key insights and acting as a driver of data literacy and analytics best practices.
- Closely collaborating with senior leadership and taking the initiative to keep things moving - identifying the opportunities where data can make the largest impact and see it through.
- Reporting on the performance of our marketing metrics at a campaign or channel level but also zooming out to see the big picture.
- Build and maintain dashboards for our International marketing teams, and make them look really good - you don’t need to be a designer or have any design talent, you just need to want to build cool things.
Posted 6 days ago
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🔥 Senior Data Scientist - R01548389
Posted 6 days ago
💸 70.0 - 80.0 USD per hour
🔍 Digital Transformation Solutions
- 6 years experience as Data Scientist.
- Experience with Timeseries Anomaly Detection/Jenkins/GitHub -CI CD Pipeline
- ML OPs
- Experience around time series and anomaly detection.
Translate complex data insights into actionable strategies.
Posted 6 days ago
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🔥 Senior Data Scientist
Posted 6 days ago
📍 Hong Kong, Macao
🔍 Software Development
🏢 Company: Intellectsoft👥 251-500Augmented RealityArtificial Intelligence (AI)DevOpsBlockchainInternet of ThingsUX DesignWeb DevelopmentMobile AppsQuality AssuranceSoftware
- 7+ years of experience in data science, machine learning, and statistical modeling.
- Strong programming skills in Python, SQL, and Spark.
- Hands-on experience with MLflow, PyTorch, Spark MLlib, and FastAPI for model development and deployment.
- Understanding of distributed computing and big data processing using Apache Spark and ClickHouse.
- Proficiency in feature engineering, data preprocessing, and model tuning for large-scale datasets.
- Experience in building and deploying ML models in production environments using TorchServe, FastAPI, or similar frameworks.
- Knowledge of deep learning architectures (CNNs, RNNs, transformers) and their practical applications.
- Strong grasp of MLOps best practices, including CI/CD for ML models, model monitoring, and retraining pipelines.
- Understanding of real-time analytics and event-driven architectures for processing streaming data.
- Experience working with SQL and NoSQL databases such as PostgreSQL, ClickHouse, and Delta Lake.
- Strong ability to collaborate with data engineers, architects, and business analysts to ensure ML models align with business objectives.
- Knowledge of A/B testing methodologies and causal inference techniques for evaluating model effectiveness.
- Familiarity with cloud services (AWS, GCP, or Azure) for scalable model training and deployment.
- Design the architecture for the open-source-based data analytics platform.
- Develop scalable data models, data pipelines, and data lakes.
- Ensure integration of various data sources, including Kafka, NiFi, Apache Airflow, and Spark.
- Implement modern data platform components like Apache Iceberg, Delta Lake, ClickHouse, and PostgreSQL.
- Define and enforce data governance, security, and compliance best practices.
- Optimize data storage, access, and retrieval for performance and scalability.
- Collaborate with data scientists, engineers, and business analysts to ensure platform usability.
Posted 6 days ago
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🔥 Senior Data Scientist | CARE
Posted 6 days ago
📍 Portugal
🔍 Wellness
- Master’s degree or PhD in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
- Proficiency in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, or similar.
- Strong understanding of generative AI architectures, including transformers and attention mechanisms.
- Experience in multi-agent systems and LLMs.
- Strong problem-solving abilities, with a focus on experimental design and data analysis.
- Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Have clear scientific thinking and a passion for integration R&D and cutting-edge technology into a product
- Prior experience in Python and SQL a are mandatory requirements.
- Understanding of state-of-the-art deep learning techniques, such as Transformers architectures and attention mechanisms, and knowledge of fine-tuning LLMs for enhanced model performance, using techniques such as LoRA, QLoRA, among others.
- Design and implement structured function calling mechanisms within LLMs to enable dynamic interactions with APIs, databases, and retrieval-augmented generation (RAG) pipelines.
- Craft clear instructions that help our models understand exactly what we need, creating reusable templates and testing against edge cases.
- Preprocess, analyse, and curate high-quality datasets to train and fine-tune both embedding and generative models.
- Develop robust evaluation frameworks to assess agentic AI performance, combining automated evaluation (LLM-as-judge), adversarial testing, human-in-the-loop evaluations, and custom behavioral metrics.
- Establish monitoring systems that track LLM behavior in production, capturing key metrics around information retrieval, hallucinations, and latency.
- Stay current with the latest research in generative AI,, share insights with the team, test promising approaches, and help make us better.
- Collaborate with engineering teams to deploy models in scalable and efficient production environments.
AWSPythonSQLData AnalysisMachine LearningPyTorchData science
Posted 6 days ago
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