Data science Job Salaries

Find salary information for remote positions requiring Data science skills. Make data-driven decisions about your career path.

Data science

Median high-range salary for jobs requiring Data Science:

$210,000

This analysis is based on salary ranges collected from 122 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $163,532 - $210,000

25% of job descriptions advertised a maximum salary above $250,000.
5% of job descriptions advertised a maximum salary above $336,632.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include Leadership, AWS and Machine Learning. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

Leadership
30% jobs mention Leadership as a required skill. The Median Salary Range for these jobs is $182,500 - $247,460.5
- 25% of job descriptions advertised a maximum salary above $279,000.
- 5% of job descriptions advertised a maximum salary above $350,804.
AWS
30% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $172,500 - $240,050
- 25% of job descriptions advertised a maximum salary above $280,900.
- 5% of job descriptions advertised a maximum salary above $338,660.
Machine Learning
71% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $169,000 - $224,000
- 25% of job descriptions advertised a maximum salary above $269,275.
- 5% of job descriptions advertised a maximum salary above $348,978.
Analytical Skills
24% jobs mention Analytical Skills as a required skill. The Median Salary Range for these jobs is $150,000 - $215,000
- 25% of job descriptions advertised a maximum salary above $248,500.
- 5% of job descriptions advertised a maximum salary above $350,000.
Communication Skills
39% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $156,975 - $212,500
- 25% of job descriptions advertised a maximum salary above $249,000.
- 5% of job descriptions advertised a maximum salary above $306,210.
Data visualization
30% jobs mention Data visualization as a required skill. The Median Salary Range for these jobs is $160,500 - $211,450
- 25% of job descriptions advertised a maximum salary above $263,550.
- 5% of job descriptions advertised a maximum salary above $320,400.
Python
64% jobs mention Python as a required skill. The Median Salary Range for these jobs is $160,000 - $210,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $326,400.
Data Analysis
39% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $165,000 - $210,000
- 25% of job descriptions advertised a maximum salary above $251,000.
- 5% of job descriptions advertised a maximum salary above $327,872.
SQL
61% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $160,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $246,440.75.
- 5% of job descriptions advertised a maximum salary above $324,125.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Data Science, Digital Advertising and Software Development. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

Data Science
2% jobs are in Data Science industry. The Median Salary Range for these jobs is $169,000 - $278,000
- 25% of job descriptions advertised a maximum salary above $284,675.
- 5% of job descriptions advertised a maximum salary above $286,900.
Digital Advertising
2% jobs are in Digital Advertising industry. The Median Salary Range for these jobs is $163,064 - $229,900
- 25% of job descriptions advertised a maximum salary above $309,265.
- 5% of job descriptions advertised a maximum salary above $335,720.
Software Development
20% jobs are in Software Development industry. The Median Salary Range for these jobs is $144,500 - $216,880
- 25% of job descriptions advertised a maximum salary above $249,000.
- 5% of job descriptions advertised a maximum salary above $504,900.
Technology
2% jobs are in Technology industry. The Median Salary Range for these jobs is $165,000 - $210,000
- 25% of job descriptions advertised a maximum salary above $264,750.
- 5% of job descriptions advertised a maximum salary above $283,000.
Cryptocurrency and blockchain technology
2% jobs are in Cryptocurrency and blockchain technology industry. The Median Salary Range for these jobs is $172,975 - $203,500
- 25% of job descriptions advertised a maximum salary above $206,000.
Insurance
3% jobs are in Insurance industry. The Median Salary Range for these jobs is $160,000 - $199,500
- 25% of job descriptions advertised a maximum salary above $239,500.
- 5% of job descriptions advertised a maximum salary above $250,000.
Healthcare
3% jobs are in Healthcare industry. The Median Salary Range for these jobs is $149,800 - $190,275
- 25% of job descriptions advertised a maximum salary above $208,575.
- 5% of job descriptions advertised a maximum salary above $221,600.
AI and machine learning
2% jobs are in AI and machine learning industry. The Median Salary Range for these jobs is $160,000 - $185,000
- 25% of job descriptions advertised a maximum salary above $210,000.
Artificial Intelligence
2% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $100,000 - $175,000
- 25% of job descriptions advertised a maximum salary above $231,250.
- 5% of job descriptions advertised a maximum salary above $250,000.
AI observability and evaluation
2% jobs are in AI observability and evaluation industry. The Median Salary Range for these jobs is $100,000 - $172,500
- 25% of job descriptions advertised a maximum salary above $210,000.

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

148 jobs found. to receive daily emails with new job openings that match your preferences.

148 jobs found.

Set alerts to receive daily emails with new job openings that match your preferences.

Apply

🔥 Senior Data Scientist (NLP)

Posted about 5 hours ago

📍 Poland

🧭 Full-Time

💸 26000.0 - 35000.0 PLN per month

🔍 EdTech

🏢 Company: Brainly👥 251-500💰 $80,000,000 Series D about 4 years ago🫂 Last layoff over 2 years agoEducation EdTech Communities E-Learning Apps Social Network Peer to Peer Software

🔧 Requirements

Advanced degree (Engineering, Master's or Ph.D.) in Computer Science, Mathematics, Statistics, or a related quantitative field with a strong focus on Machine Learning and/or Natural Language Processing.
5+ years of experience as a Data Scientist or Machine Learning Engineer, with a demonstrable focus on NLP and/or mathematical problem-solving.
Experience with cloud platforms such as AWS and/or Google Cloud Platform.
Proficiency in Python and relevant libraries (e.g., PyTorch, TensorFlow, Langchain).
Deep understanding of machine learning algorithms, particularly in NLP and their application to complex reasoning tasks.
Strong mathematical foundation and analytical skills.
Excellent research and experimentation skills, including design, execution, and analysis.
Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
Fluency in English.

💡 Responsibilities

Investigate, implement, and evaluate novel techniques for math problem understanding, reasoning, and solution generation using Large Language Models and other relevant AI approaches.
Design, execute, and analyze experiments to develop and refine machine learning models for math question answering, ensuring rigorous experimentation processes and statistically sound conclusions.
Explore and analyze large datasets of math questions, solutions, and student interactions to identify patterns, improve model performance, and discover opportunities for enhancing our math knowledge base.
Work closely with Senior Machine Learning Engineers to integrate developed models and algorithms into the production math answering system, ensuring scalability, reliability, and performance.
Actively contribute to the definition of the Q&A Knowledge Base ML team roadmap, identifying key deliverables and strategic directions for improving Brainly's math capabilities.
Effectively communicate research findings, model performance, and project progress to technical and non-technical stakeholders across the company.
Champion and ensure adherence to high standards of statistical and scientific rigor within the team's research and development processes.
Stay up-to-date with the latest advancements in LLMs, mathematical AI, and relevant technologies, and evaluate their potential application to Brainly's math answering challenges.

AWS Python Cloud Computing Data Analysis Machine Learning Numpy PyTorch Algorithms Data science Tensorflow Communication Skills Analytical Skills Problem-solving skills Research Fluency in English

Posted about 5 hours ago

Apply

🔥 Director of Data Engineering (Remote USA)

Posted about 7 hours ago

📍 United States

💸 92000.0 - 180000.0 USD per year

🔍 Software Development

🔧 Requirements

Strong experience leading/managing a team of software engineers to develop applications
Ability to work closely with other leaders to scale our technology and the Engineering organization
Ability to work closely with key internal stakeholders to develop and manage the engineering roadmap
Ability to drive technical projects and planning
Strong communication skills; able to disseminate information across the organization and have strategic influence
A minimum of 7 years’ experience developing production-grade systems
A minimum of 5 years’ experience managing developers and DevOps teams

💡 Responsibilities

Define and enforce IT policies related to cloud security, software development and DevOps best practices to ensure scalable and secure systems
Provide strategic support and challenge decisions through thought-provoking questions.
Understand data governance; create and maintain policies and procedures while implementing data management systems and ensuring compliance with regulations.
Simplify complex problems to make them manageable for the organization
Drive organizational change effectively
Foster strong cross-functional communication and collaboration
Lead software engineering teams in cloud-native environments, particularly Microsoft Azure
Drive the adoption of cloud best practices, microservices, and scalable architecture
Establish coding standards, best practices, and governance policies to ensure maintainable, scalable, and secure software solutions.
Cloud Optimization – Ensure efficient use of Azure services while optimizing performance, scalability, and cost.
Effectively manage remote engineers
Provide technical and organizational leadership across the engineering team
Coach/mentor team members to encourage professional and career growth

Leadership Software Development SQL Cloud Computing ETL Machine Learning Microsoft Azure People Management Cross-functional Team Leadership Algorithms Azure Data engineering Data science Communication Skills Analytical Skills CI/CD DevOps Microservices Data visualization Stakeholder management Data modeling Data management

Posted about 7 hours ago

Apply

🔥 Machine Learning Engineer (LLMs)

Posted 1 day ago

📍 Poland

🧭 Full-Time

💸 23500.0 - 35000.0 PLN per month

🔍 Education Technology

🏢 Company: Brainly👥 251-500💰 $80,000,000 Series D about 4 years ago🫂 Last layoff over 2 years agoEducation EdTech Communities E-Learning Apps Social Network Peer to Peer Software

🔧 Requirements

3+ years experience with deployment and maintenance of Machine Learning models in production
Experience in deploying and maintaining Deep Learning models, particularly Large Language Models (LLMs)
Strong command of writing production-level code in Python, with a focus on best engineering practices, in particular for training & deploying models.
PyData stack along with quick frontend frameworks e.g. streamlit.
Proven expertise in Cloud Computing (preferably AWS and services like IAM, EC2, S3, ECR, EKS, Redshift, Athena, Glue, Lambda, SecretManager) for storage, data pipelines, ML pipelines, and ML deployment.
Machine Learning frameworks such as: Tensorflow, PyTorch, JAX, scikit-learn, Transformers (HuggingFace).
Proven track record of development of data and machine learning pipelines.
Knowledge of Linux/Unix system, shell scripting.
Parallel computing (multi-processing, async, GPUs, types of AI parallelism).
Culture of DevOps and high-quality software standards.
Fluency in English.

💡 Responsibilities

Operationalization of Machine Learning Models
Orchestration of the entire ML model lifecycle, from development and deployment to monitoring, maintenance, and optimization ensuring scalability, efficiency, and reliability.
Implementation of automated workflows for model retraining, versioning, and performance tracking to ensure long-term stability.
Transformation of Machine Learning artifacts into production systems and services maintaining robust integration with existing engineering infrastructure.
Tooling, Infrastructure & Experimentation Support
Design and implementation of tools, frameworks, and infrastructure to enhance efficiency of Data Scientists and other stakeholders simplifying areas such as model training and evaluation, data annotation, and processing.
Working with large-scale datasets in structured and ad-hoc exploratory setups to support both creation of well-organized data pipelines and rapid experimentation and prototyping.
Supporting Technical Lead and Data Scientists in refactoring and optimizing research code, ensuring high-quality, reusability, and scalability of delivered solutions bridging the gap between AI experimentation and real-world deployment.
Continuous Learning
Staying up to date with cutting-edge advancements in AI technology, including state-of-the-art models, algorithms, tools, and frameworks (both models/algorithms and tools/libraries/SaaS/APIs, etc.).
Exploring opportunities to incorporate new methodologies, libraries, and services that enhance Brainly’s AI capabilities.

AWS Python SQL Bash Cloud Computing Kubernetes Machine Learning PyTorch Data science REST API Tensorflow CI/CD Linux DevOps Microservices

Posted 1 day ago

Apply

🔥 Lead Machine Learning Scientist, Personalisation

Posted 1 day ago

📍 United Kingdom

🧭 Full-Time

💸 105000.0 - 140000.0 GBP per year

🔍 Financial Technology

🏢 Company: Monzo👥 1001-5000💰 Secondary Market 5 months ago🫂 Last layoff almost 5 years agoFinancial Services Banking Wealth Management FinTech

🔧 Requirements

Multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems preferably in a fast moving tech company
Experience developing and shipping state of the art ML architectures to production and delivering business impact
Extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices

💡 Responsibilities

Working with stakeholders across the organization to identify and scope out the most impactful opportunities to tackle business problems in personalisation.
Leading the design and development of advanced real time Machine Learning models, for example exploring how recent advances in machine learning (neural network, graph-based, and sequence-based architectures, LLMs) can drive improvements in our ability to deliver personalised user experiences.
Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others.
Working closely with our ML platform team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle.

Leadership Python SQL Cloud Computing Data Analysis Machine Learning Algorithms API testing Data science RESTful APIs Microservices Data modeling

Posted 1 day ago

Apply

🔥 Senior Product Manager, New Products

Posted 1 day ago

📍 United States

💸 175000.0 - 195000.0 USD per year

🔍 B2B healthcare

🏢 Company: SmarterDx👥 101-250💰 $50,000,000 Series B 10 months agoArtificial Intelligence (AI)Hospital Information Technology Health Care

🔧 Requirements

5+ years of product management experience in B2B healthcare, ideally in automation, AI-driven workflows, or revenue cycle management.
Proven ability to launch 0 to 1 products, scale and mature a product platform, balancing technical constraints with user needs.
Experience working cross-functionally with engineering, data science, and UX teams to drive product success.
Experience working directly with customers.
Experience working with healthcare data products and using data visualization to drive user decisions.

💡 Responsibilities

Own and scale the Denials product, defining its strategy, roadmap, and execution.
Roll up your sleeves and ruthlessly prioritize features based on user needs, market demand, and commercial impact.
Identify opportunities to improve automation, streamline workflows, and enhance usability for appeal writers.
Work closely with engineering, data science, and design to translate AI predictions into real-world user value.
Define, track, and report on key success metrics to measure product performance and adoption.
Communicate clearly with stakeholders, ensuring alignment across product, sales, and customer success teams.
Write and standardize product and technical documentation, modeling strong project management best practices.

SQL Agile Artificial Intelligence Business Analysis Data Analysis Machine Learning Product Management QA User Experience Design Cross-functional Team Leadership Product Development Data science REST API Strategic Management CI/CD Data visualization Stakeholder management

Posted 1 day ago

Apply

🔥 Staff Technical Enablement Specialist

Posted 2 days ago

📍 United States

💸 123000.0 - 235900.0 USD per year

🔍 Data/AI

🔧 Requirements

7+ years of experience in technical pre-sales, technical enablement, technical program management, or consulting with a focus on data, AI, or cloud technologies.
Experience building, delivering, and scaling technical enablement programs for highly skilled technical teams.
Proven ability to create, manage, and execute large-scale enablement programs, balancing technical rigor with structured program management.
Exceptional communication and presentation skills, with the ability to engage technical and executive audiences.
Strong stakeholder management and collaboration skills, with the ability to align multiple teams toward a common goal.
[Preferred] Experience in technical pre-sales roles, building proofs-of-concept, or implementing technical solutions for customers.
[Preferred] Databricks certification or experience with Apache Spark™, MLflow, Delta Lake, and other open-source technologies.

💡 Responsibilities

Design, implement, and scale enablement solutions that foster domain specialization, hands-on expertise, and technical mastery.
Introduce innovative multi-signal validation methods that assess expertise through real-world application and structured learning.
Facilitate enablement sessions, workshops, and hands-on activities that reinforce applied problem-solving and deep technical skills.
Develop and maintain technical content, including reference architectures, solution guides, and POC templates.
Measure impact and iterate on enablement programs, leveraging feedback and performance data to drive improvements.
Collaborate with technical field teams, enablement leaders, and stakeholders to continuously refine and scale high-impact training programs.
Drive adoption of enablement programs and strategies among senior leaders by proposing solutions that align with business priorities, address key challenges, and incorporate industry trends.

AWS Python SQL Artificial Intelligence Cloud Computing ETL Machine Learning MLFlow Cross-functional Team Leadership API testing Data engineering Data science REST API Communication Skills Data visualization Stakeholder management Data analytics

Posted 2 days ago

Apply

🔥 Senior Product Manager, Optimize

Posted 2 days ago

📍 United States, Canada

🧭 Full-Time

💸 139000.0 - 248000.0 USD per year

🔍 Software Development

🔧 Requirements

Have strong stakeholder management experience leading products that support multiple customer personas.
Have led multi-disciplinary development teams in high-growth startup environments.
Are deeply empathetic and passionate about understanding user needs and transforming them into tangible product features.
Have a strong technical acumen and can articulate complex technical concepts in simple terms.
Possess a 'test and learn' mentality and are comfortable working in a fast-paced, dynamic, and evolving environment.
Can balance big-picture thinking with deep-dive analysis and attention to detail.
Are experienced in agile methodologies and can adapt to changing priorities.
Have a strong understanding and appreciation of design aesthetics and principles.
Have excellent problem-solving skills, with a creative and analytical mindset.
Are comfortable giving and receiving constructive feedback to continuously improve and encourage growth.
Have excellent leadership skills, with the ability to inspire and motivate a team towards achieving a common goal.
Are adept at navigating and managing through ambiguity and complexity.
Excel at translating complex technical concepts into easy-to-understand, intuitive, and user-friendly interfaces.
Have experience with Webflow and other web design and development tools.
Have a passion for empowering creators and democratizing the web design and development process.

💡 Responsibilities

Advance the vision, strategy, and execution of Webflow Optimize.
Collaborate with cross-functional partners, including design, engineering, user research, data science, sales, education, and community teams to identify and define features that improve the product experience.
Conduct research and data analysis to understand user needs, pain points, and behaviors.
Prioritize product backlog and manage roadmap based on strategic priorities, user needs, and market trends.
Develop and articulate compelling value propositions to stakeholders.
Define, track, and analyze key product metrics to inform decision-making and measure success.
Advocate for our users and drive product improvements based on user feedback and data.
Collaborate on go-to-market strategies for product features and updates, working in close collaboration with our product marketing team.

Leadership Agile Data Analysis HTML CSS Javascript Product Management User Experience Design Cross-functional Team Leadership Product Development Product Analytics Data science Communication Skills Analytical Skills Agile methodologies RESTful APIs Problem-solving skills Data visualization Stakeholder management Strategic thinking A/B testing

Posted 2 days ago

Apply

🔥 VP of Product, Search, AI and GenAI

Posted 2 days ago

📍 United States of America

💸 195900.0 - 351800.0 USD per year

🔍 FinTech SaaS

🏢 Company: datasite

🔧 Requirements

10+ years of experience in Product Management, with at least 5 years leading AI, search, or ML-driven products in enterprise SaaS, FinTech, or a similar complex domain.
Proven leadership experience at the VP or senior director level, managing and scaling high-performing product teams.
Deep expertise in AI, GenAI, and search technologies, including NLP, information retrieval, vector search, embeddings, LLMs, and ranking models.
Strong track record of delivering AI-powered products to market, with measurable business and customer impact.
Experience balancing AI innovation with compliance, security, and risk management in a regulated industry.
Exceptional data-driven decision-making skills, leveraging analytics, A/B testing, and experimentation to drive growth and engagement.
Deep understanding of enterprise B2B workflows, particularly in financial services or dealmaking environments.
Excellent executive communication and stakeholder management skills, with the ability to align cross-functional teams and influence strategic decisions.
Strong technical acumen; ability to partner effectively with engineering and data science teams.

💡 Responsibilities

Define and execute a comprehensive AI and search strategy, aligning with Datasite’s long-term business objectives and competitive differentiation.
Identify and drive high-impact AI and search initiatives, ensuring that our platform remains at the forefront of innovation in FinTech SaaS.
Build and lead a world-class product team, including Product Managers, Data Scientists, Engineers, and UX Researchers, fostering a culture of innovation, collaboration, and execution.
Partner closely with executive leadership to define investment priorities, ensuring strategic allocation of resources.
Own the product roadmap for AI, GenAI, and search, balancing short-term deliverables with long-term innovation.
Drive AI and ML-driven product enhancements that improve search relevance, document understanding, automation, and predictive insights for dealmakers.
Lead cross-functional teams to develop and ship scalable AI-powered solutions that address complex customer pain points while ensuring ease of adoption.
Develop AI governance frameworks that balance innovation with regulatory compliance, security, and ethical AI practices.
Establish data-driven KPIs and OKRs to measure the success of AI and search initiatives.
Foster a culture of experimentation and rapid iteration, leveraging A/B testing and continuous learning to refine AI models and user experiences.
Partner with Data Science and Engineering to ensure high-quality AI model training, deployment, and monitoring for accuracy, fairness, and bias mitigation.
Act as the voice of the customer, deeply understanding user workflows, search behaviors, and pain points to inform AI-driven product innovations.
Stay ahead of industry trends, emerging AI technologies, and FinTech developments, ensuring Datasite’s competitive advantage.
Conduct customer discovery and market research, translating insights into actionable product strategies.
Partner closely with Engineering, Data Science, UX, and GTM teams to deliver AI-driven solutions that enhance dealmaking productivity.
Influence executive stakeholders by effectively communicating the strategic and financial impact of AI investments.
Ensure that AI and GenAI solutions comply with data privacy, security, and industry regulations to protect client confidentiality.
Represent Datasite as a thought leader in AI-driven dealmaking, search, and automation, speaking at industry events and engaging with key customers.
Mentor and develop high-performing AI and product talent, building a best-in-class AI and search organization.

AWS Leadership Python SQL Artificial Intelligence Data Analysis Machine Learning People Management Product Management Cross-functional Team Leadership Product Development Data science Strategic Management A/B testing

Posted 2 days ago

Apply

🔥 Senior AI Architect

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 118000.0 - 231000.0 USD per year

🔍 Software Development

🏢 Company: MongoDB👥 1001-5000💰 Post-IPO Equity about 7 years agoDatabase Open Source Cloud Computing SaaS Software

🔧 Requirements

5+ years of progressive hands-on experience in any of the following; solution architecture, enterprise architecture, data science, AI/ML and/or software development, including 2+ years of hands-on experience in designing, building, and delivering AI-powered solutions, with a deep focus on GenAI technologies
Demonstrated thought and technical leadership in AI/GenAI technologies with experience in presenting from conferences to the board room, you have the ability to influence AI strategy and advocate best practices at C-suite whilst hands on to demonstrate the value of your ideas
Experience of building cloud-native applications using modern methodologies, test-first development, CI/CD pipelines, and microservices architectures
Good understanding of LLM architectures, vectorisation, and experience in designing Retrieval-Augmented Generation (RAG) systems for real-time applications with hands-on experience in AI/ML frameworks and tools, for example, Llamaindex, Hugging Face, LangGraph, LangChain, Pydantic, Cursor, TensorFlow, and PyTorch
Experience with cloud AI services (AWS Bedrock, Azure AI, GCP Vertex AI)
Proficiency in at least one modern programming language (ideally Python), with experience in one other modern language a plus (e.g., Node.js, Java, C#)
Experience in deploying cutting-edge GenAI technologies and LLMs, driving innovation in high-uncertainty projects
Ability to connect AI solutions to business outcomes, driving measurable value through data-driven innovation and strategic technology integration
Strong communication and leadership skills, with the ability to inspire confidence, challenge assumptions, and influence executive stakeholders
Proven ability to lead agile teams, driving backlog grooming, sprint planning, and showcases in collaboration with Product Owners and cross-functional teams
Ability to work remotely with a willingness to travel (up to 20%) for high-impact, in-person customer engagements

💡 Responsibilities

Take an “AI First” mindset, leveraging the latest GenAI technologies and solution partners to design, prototype, and implement high-impact AI solutions that solve real customer problems and drive tangible business value
Jump into customer scenarios, understanding their use case, scoping effort in supporting customers and rapidly ideate what the solution should be, innovating quickly and demonstrating the value of our technology and services
Engage directly with C-suite customer stakeholders, addressing complex business challenges through AI concepts and solutions, ensuring alignment on solution design and delivery
Quickly build prototypes and proofs of concepts using GenAI-assisted development tools, showcasing the art of the possible to customers and iterating based on feedback
Own the end-to-end design and delivery of scalable AI architectures, from data pipelines to model deployment, ensuring performance, security, and scalability at every step
Write production-quality code in modern languages (e.g., Python, Node.js, Java) to build, fine-tune, and deploy RAG architectures, LLMs and AI models, using frameworks like LangChain, TensorFlow, PyTorch, and Hugging Face
Architect data pipelines and modern data layers using MongoDB Atlas Vector Search, enabling real-time, AI-driven applications
Provide authoritative technical direction to delivery teams, ensuring architectural consistency and high-quality AI solutions that align with customer objectives
Define scope, estimate effort, and deliver product increments that align with customer business priorities, ensuring high-velocity, outcome-focused delivery
Stay ahead of the curve by experimenting with emerging GenAI techniques, optimizing development processes, and driving the adoption of best practices in responsible AI
Contribute to ongoing development of a repository of reusable solution components, including reference architectures, GenAI blueprints, and AI-driven application modules, to accelerate delivery
Actively participate in the MongoDB and GenAI communities, sharing insights, driving best practices, and influencing the direction of AI-driven solutions

AWS Leadership Node.js Python Software Development Artificial Intelligence Cloud Computing Java Kubernetes Machine Learning MongoDB PyTorch Software Architecture Data science REST API Tensorflow Communication Skills CI/CD Agile methodologies DevOps Microservices

Posted 3 days ago

Apply

🔥 Product Marketing Director, Data Science/AI/ML

Posted 3 days ago

📍 United States

💸 194000.0 - 230000.0 USD per year

🔍 Data Science/AI/ML

🏢 Company: Domino Data Lab👥 251-500💰 Series F over 2 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.

💡 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 3 days ago

Apply

Shown 10 out of 148

Data science Job Salaries

Median high-range salary for jobs requiring Data Science:

Skills and Salary

Leadership

AWS

Machine Learning

Analytical Skills

Communication Skills

Data visualization

Python

Data Analysis

SQL

Industries and Salary

Data Science

Digital Advertising

Software Development

Technology

Cryptocurrency and blockchain technology

Insurance

Healthcare

AI and machine learning

Artificial Intelligence

AI observability and evaluation

Jobs