Data Scientist Jobs

Discover remote data scientist opportunities worldwide. We've gathered the top positions to help you advance your career.

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262 jobs found.

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🔥 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.

Python Machine Learning PyTorch Product Development Data science Collaboration Accounting

Posted 2024-11-21

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🔥 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.

Python Software Development Data Analysis Git Data analysis Data science Communication Skills Collaboration

Posted 2024-11-21

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🔥 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.

AWS Docker Python SQL ElasticSearch Kubernetes Machine Learning Numpy PyTorch Snowflake Product Development Data science Elasticsearch Collaboration Documentation

Posted 2024-11-21

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🔥 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.

Python SQL Hadoop Machine Learning Data science Spark

Posted 2024-11-21

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🔥 Principal Data Scientist, Consumer Experience

Posted 2024-11-20

🔍 E-commerce

Experience in data science and machine learning.
Focus on search and recommendations technologies.

Work on a wide variety of high impact projects related to Search and Recommendations.
Have ownership from prototype to productionalization and cross-functional support to launch 0-1 systems.
Refine existing systems in retrieval, ranking, and query understanding.
Build aspects of search from the bottom up to enhance users’ discovery experience.

Posted 2024-11-20

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🔥 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.

Leadership Python SQL Data Analysis Numpy Tableau Data analysis Data science Pandas Communication Skills Analytical Skills Collaboration Microsoft Excel Attention to detail Written communication

Posted 2024-11-20

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🔥 Senior Data Scientist- Retail/Agro

Posted 2024-11-20

🏢 Company: Tiger Analytics

Posted 2024-11-20

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🔥 Principal Data Scientist, Consumer Experience

Posted 2024-11-20

💸 160000 - 260000 USD per year

🔍 ECommerce

MS or PhD in statistics, mathematics, analytics, computer science or another quantitative field AND 3+ years of experience as a data scientist in eCommerce or Logistics.
Or, 8+ years of experience as a data scientist in eCommerce or Logistics.
Hands-on experience in building ranking and recommendation models in production environments.
Experience applying descriptive statistics, machine learning, predictive modeling, and visualization techniques.
Expert knowledge in statistical and machine learning techniques, data science libraries, model deployment, and ML workflows.
Proficient in Python and related ML libraries, SQL, and large datasets.
Experience with cloud platforms and model development technologies.
Excellent communication and presentation skills.

Build and enhance machine learning, statistical and causal models for product search, ranking and recommendation that support various business goals.
Work closely with product and engineering managers to develop and deploy solutions with cross-functional support.
Educate business and engineering partners on data science concepts.
Build models that support real-time events and present findings to leadership.
Identify gaps in existing data, create specs, and collaborate with engineering teams for data tracking improvements.
Partner with analytics teams to share insights for data-driven decision-making.
Commit to automation and provide mentorship.

Posted 2024-11-20

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🔥 Data Scientist

Posted 2024-11-20

🔍 SaaS, ad tech

Ideal master or Ph.D. in Data Science, Statistics, Mathematics, or related field.
3+ years of experience in data science, specifically in forecasting.
Proficiency in Python and data science libraries such as Pandas, NumPy, and Scikit-Learn.
Strong expertise in time-series forecasting, regression analysis, and machine learning.
Experience with data visualization tools like Matplotlib and Seaborn.
Knowledge of SQL and experience with cloud data platforms (AWS, GCP).
Experience in ad tech or related industries; familiarity with financial modeling and budget optimization techniques.
Nice to have: AI Forecasting experience.

Develop and implement forecasting models for budgeting and advertiser spend predictions.
Analyze large datasets to identify trends and optimize forecasting algorithms.
Collaborate with product and engineering teams to deliver data-driven insights.

Posted 2024-11-20

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🔥 Data Scientist

Posted 2024-11-20

🔍 SaaS / Ad Tech

Ideal master or Ph.D. in Data Science, Statistics, Mathematics, or related field.
3+ years of experience in data science, specifically in forecasting.
Proficiency in Python and data science libraries (Pandas, NumPy, Scikit-Learn).
Strong expertise in time-series forecasting, regression analysis, and machine learning.
Experience with data visualization tools (Matplotlib, Seaborn).
Knowledge of SQL and experience with cloud data platforms (AWS, GCP).
Experience in ad tech or related industries; familiarity with financial modeling and budget optimization techniques.
Nice to have: AI Forecasting experience.

Develop and implement forecasting models for budgeting and advertiser spend predictions.
Analyze large datasets to identify trends and optimize forecasting algorithms.
Collaborate with product and engineering teams to deliver data-driven insights.

Posted 2024-11-20

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