Remote Data Science Jobs

Data Science

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🔥 Senior Data Science and Analytics Manager

Posted about 3 hours ago

📍 United States, Canada

🧭 Full-Time

💸 138975.0 - 179850.0 CAD per year

🔍 Software Development

🏢 Company: Samsara👥 1001-5000💰 Secondary Market over 4 years ago🫂 Last layoff almost 5 years agoCloud Data Services Business Intelligence Internet of Things SaaS Software

🔧 Requirements

M.S., or Bachelor's in Statistics, Computer Science, Math, Machine Learning, or other related quantitative fields
5+ years of relevant data science or advanced analytics work experience and 3+ years of experience building and deploying predictive models to inform company strategy - (propensity models, time series forecasts, enrichment models, etc.)
Advanced knowledge of marketing measurement (attribution, marketing mix modeling, lift studies)
Expertise in Tableau and/or similar platforms; expertise in coding languages and tools like Python, R and SQL - hands on coding experience is needed for this role.

💡 Responsibilities

Help build and refine AI-based scripts to automate and improve account identification and enrichment processes.
Develop predictive models and heuristics to identify high-potential accounts, leveraging data from multiple sources and upleveling our Sales and Marketing intelligence.
Contribute to the development of our core marketing data science roadmap as well as execute on bringing that roadmap to life.
Communicate insights using data visualization and presentations to a range of stakeholders.
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Python SQL Data Analysis Machine Learning Tableau Data science Communication Skills Analytical Skills Microsoft Office RESTful APIs Data visualization Data modeling

Posted about 3 hours ago

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🔥 Data Science Manager, Financial Crime

Posted 5 days ago

📍 UK

🧭 Full-Time

💸 110000.0 - 130000.0 GBP per year

🔍 Financial Crime

🔧 Requirements

4 years of experience as a Data Science Manager- at least 2 of them managing a data team larger than 4 people
Strong strategic data leader
Experience in financial crime, fraud detection, or similar areas (Trust & Safety, Integrity, Security) is a plus.

💡 Responsibilities

Be a key leader in building a discipline of exceptional data scientists and analysts working on making Monzo world class at detecting and fighting financial crime activity
Help hire, develop and retain talented Data people
Generate insights that can change the direction of our financial crime strategy

AWS Leadership Python SQL Data Analysis Machine Learning People Management Cross-functional Team Leadership Data science Communication Skills Analytical Skills Problem Solving Agile methodologies Risk Management Data visualization Team management Stakeholder management Strategic thinking Financial analysis Data modeling

Posted 5 days ago

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🔥 Data Science Manager

Posted 5 days ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Rockerbox👥 101-250💰 Seed about 9 years agoInternet Advertising Advertising Platforms Marketing

🔧 Requirements

7+ years of experience in data science, analytics, or machine learning, with at least 1-2 years in a leadership role.
Strong proficiency in Python, SQL, and cloud-based data platforms.
Deep understanding of statistical modeling, causal inference, and regression techniques.
Experience in feature development for MTA models and testing methodologies; experience with marketing data and consumer business KPIs.
Ability to hire, manage, and mentor data scientists while contributing as an IC.
Strong communication skills to effectively collaborate with engineers, product teams, and stakeholders.

💡 Responsibilities

Lead and mentor our lean data science team, fostering growth and technical excellence.
Own feature development for testing, MMM, and MTA models, ensuring methodological rigor and scalability.
Act as a hands-on contributor, developing statistical models and validating approaches for both testing and attribution.
Work cross-functionally with engineering and product teams to integrate data science solutions into Rockerbox’s platform.
Drive best practices in model validation, experiment design, and data pipeline efficiency.
Identify opportunities to leverage AI and machine learning for enhanced insights and automation.
Collaborate with leadership to define team growth, hiring needs, and strategic priorities.

Leadership Python SQL Cloud Computing Machine Learning Data science Pandas Communication Skills Mentoring Team management Data modeling

Posted 5 days ago

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🔥 Data Science Engineer

Posted 7 days ago

📍 United States, Canada, Costa Rica

🧭 Full-Time

🔍 Building Products

🔧 Requirements

2 years+ experience: Microsoft Power BI
Advance EXCEL knowledge
Basic knowledge of R, SQL and Python
1 year experience/ Intermediate – advanced knowledge in Power Query, M and DAX language.
Excellent communication and presentation skills
Results driven and able to handle multiple projects
Advanced level of experience with business intelligence tools (e.g., Power BI, Power Query)
Strong mathematics skills (e.g., statistics, algebra)
Excellent analytical and problem-solving skills associated with working on unstructured datasets
Ability to communicate complex data in a simple, actionable way
Ability to visualize data in the most effective way possible for a given project or study
Ability to work independently and with team members from different backgrounds
Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
Excellent attention to detail
College Degree required (Statistics, Industrial Engineer, or related field).

💡 Responsibilities

Building required infrastructure for optimal extraction, transformation of complex sets of data and loading of data from various data sources
Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics
Ensure deliverables have Executive presence and efficient processes
Creating insightful reports and presentations for business uses; Works beyond requirements to have visual storytelling and scalability
Identifying, designing, and implementing internal process improvements including re-designing processes for greater scalability, optimizing data delivery, and automating manual processes
Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
Ensure data architecture, data model and dashboards standards are followed

SQL Data Analysis Data Mining ETL Microsoft Power BI Data visualization Data modeling

Posted 7 days ago

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🔥 Senior Full Stack Developer - Data Science Applications (Remote, Canada)

Posted 12 days ago

📍 Canada

🧭 Full-Time

💸 120000.0 - 170000.0 CAD per year

🔍 Software Development

🏢 Company: Collective[i]

🔧 Requirements

Strong proficiency in React, including hooks and functional components.
Experience with state management solutions (e.g., Redux, MobX, or Recoil).
Solid understanding of JavaScript/TypeScript and modern ES6+ features.
Proficiency in HTML5 and CSS3, including responsive design principles.
Expertise in Tailwind CSS for rapid and efficient UI development.
Experience with backend development using languages such as Node.js, Python, or Java.
Familiarity with RESTful API design and implementation.
Knowledge of database technologies (e.g., MySQL, PostgreSQL, MongoDB).
Version control with Git.

💡 Responsibilities

Develop and maintain scalable web applications using React and other modern frontend technologies.
Design and implement RESTful APIs and backend services.
Collaborate with cross-functional teams to deliver high-quality software solutions.
Participate in code reviews and contribute to best practices and coding standards.
Troubleshoot, debug, and optimize application performance.

Backend Development Node.js PostgreSQL Python Frontend Development Full Stack Development Git Kafka TypeScript React RESTful APIs

Posted 12 days ago

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🔥 Senior Full Stack Developer - Data Science Applications

Posted 12 days ago

💸 100000.0 - 150000.0 USD per year

🔍 Software Development

🏢 Company: Collective[i]

🔧 Requirements

Professional experience in full stack development.
Strong proficiency in React, including hooks and functional components.
Experience with state management solutions (e.g., Redux, MobX, or Recoil).
Solid understanding of JavaScript/TypeScript and modern ES6+ features.
Proficiency in HTML5 and CSS3, including responsive design principles.
Expertise in Tailwind CSS for rapid and efficient UI development.
Experience with backend development using languages such as Node.js, Python, or Java.
Familiarity with RESTful API design and implementation.
Knowledge of database technologies (e.g., MySQL, PostgreSQL, MongoDB).
Version control with Git.

💡 Responsibilities

Develop and maintain scalable web applications using React and other modern frontend technologies.
Design and implement RESTful APIs and backend services.
Collaborate with cross-functional teams to deliver high-quality software solutions.
Participate in code reviews and contribute to best practices and coding standards.
Troubleshoot, debug, and optimize application performance.

Posted 12 days ago

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🔥 Product Marketing Director, Data Science/AI/ML

Posted 15 days ago

📍 United States

💸 194000.0 - 230000.0 USD per year

🔍 Data Science/AI/ML

🏢 Company: Domino Data Lab👥 251-500💰 Series F almost 3 years agoArtificial Intelligence (AI)Big Data Machine Learning Analytics Enterprise Applications Data Mining Enterprise Software Software

🔧 Requirements

Deep domain expertise in data science, AI, and ML, with 8+ years of product marketing experience.
Experience marketing to the Data Science Leader & Executive personas is essential (CDO / CDAO)
Proven ability to craft compelling messaging and positioning that resonates with executive buyers and technical audiences in enterprise B2B.
Content development expertise, with a track record of creating high-impact materials tailored to different stages of the customer journey.
Go-to-market leadership, including experience driving successful product launches and marketing strategies for AI/ML or data platforms.
Strong analytical mindset, using data to measure effectiveness and optimize campaigns.
Industry influence experience, with a background in thought leadership and analyst relations.
Effective stakeholder management, with the ability to lead cross-functional teams and collaborate across product, marketing, and sales.
Exceptional communication and presentation skills, with the ability to engage and influence executives and industry leaders.
Start-up experience (250-500 employees for at least 2 years) is a bonus.

💡 Responsibilities

Refine and implement messaging and positioning to resonate with data science leaders and practitioners across all channels, including content, website, and sales materials.
Lead integrated platform campaigns, crafting messaging and customer journeys tailored to data science, AI, and GenAI audiences.
Develop thought leadership content that establishes Domino as a trusted voice for data science teams and decision-makers.
Strengthen industry influence by enhancing Domino’s reputation with key analysts and stakeholders.
Drive successful product launches, ensuring new features meet the needs of data science teams and are effectively communicated to the market.

Artificial Intelligence Business Intelligence Machine Learning Product Management Cross-functional Team Leadership Content creation Data science Communication Skills Analytical Skills Stakeholder management Data analytics

Posted 15 days ago

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🔥 Director of Data Science and Analytics

Posted 15 days ago

📍 United States

🧭 Full-Time

💸 255000.0 - 300000.0 USD per year

🔍 Mental Healthcare

🏢 Company: Headway👥 201-500💰 $125,000,000 Series C over 1 year agoMental Health Care

🔧 Requirements

5+ years of experience in a senior data leadership role with proven experience building high-functioning data or analytics team in a fast-paced environment
5+ years of hands-on experience working with data at various levels
Understanding of various technology stacks, and be native in different tools and languages
Strong at simplifying data, be able to explain complex data stories to different stakeholders
You are empathetic: you are eager to see the world from your users’ perspective
You're energized by ambiguity & a self-starter: you love to drive the direction of ambiguous projects
You are motivated by our mission. We are working to solve the biggest problems in mental health care today: access and affordability.

💡 Responsibilities

Hire, inspire, and manage a growing team of data and product analysts
Partner with the Engineering, Infrastructure, Product, Operations, Finance and Business functions closely to define the direction of the data team and to drive results
Be responsible for the tracking and communicating of KPIs, both through central reporting and liberalization of the data
Be a key decision-maker on projects involving data within the company
Be a key owner in insuring the successful execution of the various projects involving data
Be a critical thinker, able to quickly grasp metrics, numbers, financial information, and converse with the various stakeholders in a thoughtful manner

AWS Leadership Project Management Python SQL Apache Airflow Cloud Computing Data Analysis ETL Machine Learning People Management Cross-functional Team Leadership Product Analytics Data engineering Data science Communication Skills Analytical Skills Reporting Data visualization Stakeholder management Data modeling Data analytics Data management

Posted 15 days ago

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🔥 Data Science Manager, User Growth

Posted 20 days ago

📍 United States

🧭 Full-Time

💸 217000.0 - 303900.0 USD per year

🔍 Consumer technology products and marketplaces

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff almost 2 years agoNews Content Social Network Social Media

🔧 Requirements

Experience in driving product strategy and roadmaps through analytics, ideally for consumer technology products and marketplaces
Built, led and developed high performing product analytics teams before: ideally 3+ years of leadership experience as a people manager, leading a team of 5+ data scientists.
Teams you have led had expertise in causal inference, A/B testing experimentation, metric definition and governance, and product strategy
Led initiatives to enable analytics self serve for cross-functional teams
Excel at communicating to both technical and non-technical people
Ability to understand nuanced complex concepts and systems, and explain them simply.
Proficient in SQL and Python/R for hands-on analysis. You can roll up your sleeves and work side by side with your team when needed
Collaborative attitude and natural curiosity and strong evidence-backed product opinions

💡 Responsibilities

Drive the adoption of strategic and tactical recommendations that are based on (1) deep and hands-on experience with Reddit products, and (2) data skills and understanding, to maximize our value to Reddit consumers.
Serve as a thought-partner for product managers, engineering managers and leadership from your respective product domain, communicating and shaping the roadmap and strategy for Reddit by identifying actionable and impactful insights through deep-dive analyses and analytics insights.
Be proactively involved in all phases of product development, including but not limited to, ideation, exploratory analysis, opportunity sizing, metrics design, offline modeling, experimentation and decision-making, post-launch monitoring/measurements etc.
You will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive), along with working on ETLs, reporting dashboards and data aggregations needed for business tracking and/or ML model development.

Leadership Python SQL Data Analysis ETL Machine Learning People Management Product Management Cross-functional Team Leadership Strategy Product Analytics Algorithms Data science Pandas Communication Skills Analytical Skills Data visualization A/B testing

Posted 20 days ago

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🔥 Quantitative Modeling Analyst – Data Science

Posted 21 days ago

📍 Canada

🔍 Data Science

🏢 Company: J.D. Power👥 501-1000 Market Research Analytics Software

🔧 Requirements

2+ years of an advanced understanding of Multivariate Statistics, Research Design, Measurement Theory, Attitudinal Research
Master's or Ph.D. in Psychology, Sociology, Economics, Statistics, or related Social Science fields
Experience with research methodology and design
Experience with Python, SAS, and/or SPSS
Must be able to work effectively and collaboratively in a team oriented, global, and multi-cultural environment.

💡 Responsibilities

Assist in study methodology design including sample planning and questionnaire development.
Leverages broad scope of knowledge when performing basic and advanced analyses on data sets; uses scripts, codes, languages, etc.to develop models, accurately calibrate model parameters and validate model performance and analytical outputs
Applies and enhances basic and advanced quantitative analytical skills for specific projects/studies
Applies business rules, methodologies and performs quality control checks
Works with other individuals and teams to ensure project accuracy and timeliness of information to clients

Python Data Analysis Excel VBA Algorithms Data modeling Scripting

Posted 21 days ago

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Why Remote Data Science Jobs Are Becoming More Popular

The remote work from home is increasingly in demand among computer and IT professionals for several reasons:

Flexibility in time and location.
Collaboration with international companies.
Higher salary levels.
Lack of ties to the office.

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