Why is remote work so nice? Let's try to see!
Apply
Senior Data Scientist
Posted 2 days agoViewed
💎 Seniority level: Senior, 4+ years
🔍 Industry: Data Science
🏢 Company: Vantage👥 1001-5000CryptocurrencyFinancial ServicesFinTechTrading Platform
⏳ Experience: 4+ years
Requirements:
- Minimum of 4 years in data science, analytics, or a related field with a proven track record of building impactful data science solutions
- Hands-on experience in designing and deploying end-to-end machine learning pipelines, particularly forecasting models
- Demonstrated proficiency in advanced statistical methodologies—including hypothesis testing, regression analysis, and time-series forecasting—to rigorously validate and interpret predictive models
- Proficiency in Python (including libraries such as Pandas, NumPy, Scikit-learn) and SQL
- Familiarity with cloud-based data science workbenches (e.g., AWS SageMaker, Azure ML, or GCP AI Platform) to develop scalable solutions
Responsibilities:
- Develop cutting-edge forecasting models and advanced analytics solutions
- Design and deploy end-to-end machine learning pipelines—from data ingestion and model development to deployment and monitoring—in cloud-based environments
Related Jobs
Apply
🔥 Senior Data Scientist, Product
Posted 2 days ago
💸 50000.0 - 60000.0 GBP per year
🔍 Software Development
🏢 Company: Wordwall
- 3 years’ experience in a data science or product analytics role in a software development context
- Experience with databases (SQL+NoSQL)
- Skills in statistics, programming, and advanced spreadsheets
- Solid understanding of basic statistical concepts
- Excellent written and verbal communication skills
Discover user behavior, collaborate with the development team to create research questions, analyze evidence, and translate insights into actionable and easily understood information.
Posted 2 days ago
ApplyApply
🔥 Senior Data Scientist | Partner Content
Posted 4 days ago
📍 Brazil
🧭 Full-Time
🔍 Software Development
- 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 such as TensorFlow, PyTorch, or similar
- Knowledge of generative models, including GANs, VAEs, autoregressive models, and transformers
- Strong problem-solving abilities, with a focus on experimental design and data analysis
- Excellent verbal and written communication skills (both in English and Portuguese), with the ability to explain complex technical concepts to non-technical stakeholders.
- Identifying opportunities to use GenAI to address business challenges, enhance existing processes, or create innovative solutions.
- Provide data insights and support product decisions leveraging existing data or gather additional data to understand user behavior.
- Fine-tune pre-trained models to adapt to specific use cases and requirements, including performing large language models (LLMs) fine-tuning and optimization for enhanced model performance. Additionally, collaborate with data scientists to annotate and preprocess data for model training, ensuring the models are tailored effectively to the intended applications.
- Develop and refine prompts to enhance the performance and output quality of generative models, ensuring that the models respond accurately and relevantly to various input scenarios.
- Collect, preprocess, and analyze large datasets to ensure high-quality input data for training generative models.
- Develop and utilize embeddings to represent complex data types (e.g., text, images) in a way that facilitates the generation of meaningful and accurate outputs.
- Stay current with the latest research in generative AI, propose new approaches, and contribute to the academic and technical community through publications and presentations.
- Work closely with cross-functional teams to integrate generative models into products and services, ensuring they meet business objectives and user needs.
- Develop and implement rigorous testing and evaluation frameworks to assess model performance, robustness, and reliability. Collaborate with the Data team in order to improve our internal ML Ops platform.
- Maintain comprehensive documentation of models, algorithms, experiments, and processes to ensure reproducibility and knowledge sharing.
PythonData AnalysisMachine LearningPyTorchAlgorithmsData scienceTensorflowCommunication SkillsProblem SolvingData visualizationData modelingEnglish communication
Posted 4 days ago
ApplyApply
🔥 Senior Data Scientist, Growth
Posted 9 days ago
📍 United States, Canada
🧭 Full-Time
💸 160000.0 - 200000.0 USD per year
🔍 Mobile Games
🏢 Company: thatgamecompany👥 101-250💰 about 3 years agoDeveloper ToolsVideo GamesConsole GamesFamilyMMO GamesSocial NetworkMobileOnline Games
- 4+ years in data science for consumer apps or mobile games applications.
- Proven experience working with user acquisition campaigns and developing data pipelines, reporting, and visualizations.
- Proficiency in Python (or R), SQL, and statistical modeling tools.
- Experience with visualization tools (Looker, Tableau, or QlikView) to build compelling data stories that communicate insights effectively.
- Familiarity with SKAdNetwork, mobile attribution platforms (e.g., Adjust, Singular, AppsFlyer), and methodologies like media mix modeling and incremental measurement.
- Analyze complex datasets to identify patterns, trends, and actionable insights that support new user acquisition and organic growth.
- Create and manage dashboards, visualizations, and reports to uncover trends and insights that answer both strategic and operational questions.
- Collaborate with the game development team to define and collect in-game data for analysis, aligning metrics with gameplay and business goals.
- Define and improve critical metrics, frameworks, and tools that help teams understand player lifecycle and optimize LTV, loyalty, retention, and return.
- Implement advanced statistical and machine learning techniques to optimize user acquisition and marketing campaigns, continuously improving the team’s analytical capabilities.
- Design and execute experiments (A/B and multivariate tests) to evaluate marketing efforts and generate actionable recommendations.
- Develop, maintain, and enhance SKAdNetwork (SKAN) ETL pipelines, conversion value frameworks, and attribution methodologies to support data accuracy and campaign analysis.
- Work cross-functionally with Engineers, Business intelligence, and analytics teams to improve data collection processes, spearheading efforts to capture meaningful metrics and streamline data implementation.
PythonSQLETLMachine LearningAlgorithmsData engineeringData scienceREST APIPandasData visualizationData modelingData analyticsA/B testing
Posted 9 days ago
ApplyApply
🔥 (924) Semi Senior Data Scientist
Posted 17 days ago
📍 LATAM
🏢 Company: Nearsure👥 501-1000Staffing AgencyOutsourcingSoftware
- Bachelor's Degree in Computer Science, Engineering, or a related field.
- 4+ Years of experience working in data science projects, encompassing data gathering, cleaning, and model building.
- 4+ Years of experience working with Python for data analysis and model training.
- 2+ Years of experience working with Generative AI (Gen AI) and Retrieval-Augmented Generation (RAG) in practical projects.
- 2+ Years of experience working in Power BI for data analysis and visualization.
- 2+ Years of experience working with Azure cloud services.
- Hands-on experience applying data science techniques.
- Knowledge of machine learning techniques, models and deployment.
- Design, develop, and implement scalable AI projects using Cloud services. Collaborate with cross-functional teams to create innovative solutions that address business challenges.
- Create, test, and deploy AI models using Cloud Services. Ensure robustness, scalability, and maintainability of deployed models.
- Design technical roadmaps and create prototypes for AI projects. Stay up-to-date with the latest AI trends, including OpenAI.
- Integrate AI solutions seamlessly with existing systems and workflows.
PythonSQLCloud ComputingData AnalysisData MiningETLMachine LearningMicrosoft Power BIAlgorithmsAzureData scienceREST APICommunication SkillsAnalytical SkillsFluency in EnglishData visualizationData modeling
Posted 17 days ago
ApplyApply
🔥 Senior Data Scientist, Mobile App User Acquisition
Posted 18 days ago
📍 North America
🧭 Full-Time
🔍 Mobile App User Acquisition
NOT STATED
Work directly with data scientists, data engineers, Product & Engineering team on building pipelines and ad optimization models.
PythonSQLMachine LearningData engineeringData science
Posted 18 days ago
ApplyApply
🔥 Senior Data Scientist, Business Analytics
Posted 23 days ago
📍 United States, Canada, Philippines
💸 132600.0 - 190600.0 USD per year
🔍 Software Development
🏢 Company: Thumbtack👥 1001-5000💰 $275,000,000 Series G over 3 years ago🫂 Last layoff about 2 years agoHome ServicesLocalService IndustryProfessional Services
- 2+ years of professional experience
- Advanced command of SQL
- Experience with data visualization tools
- Ability to develop compelling written narratives to explain analyses and make recommendations
- Exemplary analytical problem solving skills and business judgment; ability to ask the right questions, identify missing information and synthesize insights from data
- Effective collaboration with cross-functional partners (product marketing, finance, etc.) to think through product strategy and execution questions
- Define, measure, and track the key metrics that measure Thumbtack’s success
- Design and build key company data tables, dashboards, and insights tools that power decisions across the company, and evolve them as our product and business change
- Conduct in-depth analyses to answer key questions that are critical to Thumbtack’s strategy
- Support and improve company revenue forecasting model, and forecasting/planning process
- Partner effectively with teams across the company, including Product, Engineering, Marketing, Operations, Finance, as well as Thumbtack’s leadership team
- Contribute to our team and company data culture through peer collaboration, training, coaching, and more
PythonSQLBusiness IntelligenceData AnalysisRDBMSCommunication SkillsAnalytical SkillsCollaborationMicrosoft ExcelProblem SolvingRESTful APIsReportingData visualizationData modelingData analytics
Posted 23 days ago
ApplyApply
🔥 Senior Data Scientist, Finance
Posted 24 days ago
📍 United States
🧭 Regular
💸 124000.0 - 189000.0 USD per year
🔍 Finance
🏢 Company: Motive
- 7+ years experience in data science
- Experience using advanced quantitative, statistical, and data science techniques to build forecasting models
- Experience with financial forecasting
- Expert skills in spreadsheets, SQL, & Python
- Experience with business intelligence tools (Tableau Preferred)
- Evolve core financial analyses and forecasts using large data sets and machine learning to improve their accuracy
- Partner with the broader finance function and GTM teams to incorporate improved analyses and forecasts into overall financial plans
- Identify and build solutions for operational use cases in forecasting —e.g. further automation, system monitoring and alerting, outlier detection, etc.
- Build insightful and reliable dashboards to track performance of forecasts to actuals that will deliver insights to the whole company
- Communicate forecasts and analysis to stakeholders on a regular basis including root cause analysis
PythonSQLMachine LearningTableauData scienceData visualizationFinancial analysisData modeling
Posted 24 days ago
ApplyApply
🔥 (910) Senior Data Scientist
Posted 25 days ago
📍 LATAM
🧭 Full-Time
🔍 Software Development
🏢 Company: Nearsure👥 501-1000Staffing AgencyOutsourcingSoftware
- Bachelor's Degree in Computer Science, Engineering, or a related field.
- 3+ Years of experience working in data science projects, encompassing data gathering, cleaning, and model building.
- 3+ Years of experience writing and optimizing queries for data extraction, transformation, and loading, specifically in Google BigQuery.
- 3+ Years of experience working with Python for data analysis and model training, with a focus on using Google Colab.
- Familiarity with data manipulation and analysis libraries such as Pandas and NumPy.
- Experience in generating vector representations of data and using cosine similarity for relatedness measures.
- Proficiency in SQL and experience with relational databases, with a focus on Google BigQuery.
- Experience in developing and maintaining data pipelines.
- Familiarity with designing and developing dashboards using data visualization tools, preferably Google Looker.
- Experience with LLMs and APIs, especially the Gemini API for data prediction and transformation tasks.
- Strong attention to detail and commitment to data quality.
- Ability to perform manual data labeling and validation tasks, including web research.
- Advanced English Level is required for this role as you will work with US clients.
- Extract, transform, and analyze large datasets using SQL (Google BigQuery) and Python.
- Develop and maintain data pipelines to ensure efficient data processing.
- Utilize Google Colab and Python libraries like Pandas and NumPy for data manipulation and analysis.
- Implement vector-based representations of data and apply cosine similarity for relatedness measures.
- Design and develop interactive dashboards using Google Looker for data visualization.
- Work with LLMs (Large Language Models) and APIs, including Gemini API, for data prediction and transformation.
- Conduct manual data labeling and validation, including web research.
- Ensure data quality and integrity by implementing validation techniques.
PythonSQLMachine LearningNumpyData sciencePandasData visualization
Posted 25 days ago
ApplyApply
🔥 Senior Data Scientist I
Posted 27 days ago
📍 United States, Canada, UK, Australia, Singapore, Germany, Romania, Brazil, Japan
🧭 Full-Time
🔍 Technology
🏢 Company: Braze👥 1001-5000💰 Grant over 1 year agoCRMAnalyticsMarketingMarketing AutomationSoftware
- 5+ years experience working with cloud or distributed systems
- Ph.D. in Computer Science or Applied Mathematics
- Experience with TensorFlow and PyTorch
- Collaborate with Product Managers and Engineers to leverage data
- Explore and analyze large customer datasets
- Build and iterate on various models
Artificial IntelligenceCloud ComputingData AnalysisData MiningMachine LearningPyTorchTensorflowPrototyping
Posted 27 days ago
ApplyApply
🔥 Senior Data Scientist (Remote)
Posted 30 days ago
📍 United States, Canada
🧭 Full-Time
🔍 Financial Services
- 4+ years industry experience in data mining, machine learning, statistical analysis, and/or predictive modeling
- Deep understanding of statistics and machine learning techniques, including regression, classification, clustering and optimization Experience building predictive models from scratch
- Strong programming skills in Python with intermediate to advanced knowledge of SQL
- Demonstrable experience with ML packages: scikit-learn, LightGBM, XGBoost, SparkML, etc.
- Grow user base and increase retention through machine learning and analytics
- Build machine learning models with large scale data sets to address business priorities
- Design and influence strategies on underwriting, marketing, fraud and customer experience
- Work closely with our engineering team as you implement models in production
- Collaborate effectively with operations and product to ensure the work fits into the broader strategy and business context
- Develop data standards and analytics pipelines to facilitate current and future analysis
PythonSQLData MiningKerasMachine LearningPyTorchTensorflow
Posted 30 days ago
ApplyRelated Articles
Posted 7 months ago
Insights into the evolving landscape of remote work in 2024 reveal the importance of certifications and continuous learning. This article breaks down emerging trends, sought-after certifications, and provides practical solutions for enhancing your employability and expertise. What skills will be essential for remote job seekers, and how can you navigate this dynamic market to secure your dream role?
Posted 7 months ago
Explore the challenges and strategies of maintaining work-life balance while working remotely. Learn about unique aspects of remote work, associated challenges, historical context, and effective strategies to separate work and personal life.
Posted 7 months ago
Google is gearing up to expand its remote job listings, promising more opportunities across various departments and regions. Find out how this move can benefit job seekers and impact the market.
Posted 7 months ago
Learn about the importance of pre-onboarding preparation for remote employees, including checklist creation, documentation, tools and equipment setup, communication plans, and feedback strategies. Discover how proactive pre-onboarding can enhance job performance, increase retention rates, and foster a sense of belonging from day one.