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 118 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 $160,500 - $210,000

25% of job descriptions advertised a maximum salary above $254,900.
5% of job descriptions advertised a maximum salary above $337,088.

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, Algorithms and AWS. 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
28% jobs mention Leadership as a required skill. The Median Salary Range for these jobs is $185,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $283,750.
- 5% of job descriptions advertised a maximum salary above $346,908.
Algorithms
25% jobs mention Algorithms as a required skill. The Median Salary Range for these jobs is $172,500 - $250,000
- 25% of job descriptions advertised a maximum salary above $295,000.
- 5% of job descriptions advertised a maximum salary above $348,480.
AWS
32% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $167,500 - $240,960.5
- 25% of job descriptions advertised a maximum salary above $281,800.
- 5% of job descriptions advertised a maximum salary above $308,000.
Machine Learning
73% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $164,600 - $222,800
- 25% of job descriptions advertised a maximum salary above $270,000.
- 5% of job descriptions advertised a maximum salary above $356,984.
Python
66% jobs mention Python as a required skill. The Median Salary Range for these jobs is $159,475 - $210,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $318,500.
Data Analysis
41% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $160,000 - $208,000
- 25% of job descriptions advertised a maximum salary above $253,450.
- 5% of job descriptions advertised a maximum salary above $327,872.
Communication Skills
34% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $160,500 - $208,000
- 25% of job descriptions advertised a maximum salary above $252,450.
- 5% of job descriptions advertised a maximum salary above $315,450.
SQL
58% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $160,000 - $206,000
- 25% of job descriptions advertised a maximum salary above $251,225.
- 5% of job descriptions advertised a maximum salary above $325,575.
Data visualization
28% jobs mention Data visualization as a required skill. The Median Salary Range for these jobs is $158,950 - $206,000
- 25% of job descriptions advertised a maximum salary above $261,775.
- 5% of job descriptions advertised a maximum salary above $323,700.

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 Technology, Digital Advertising and Insurance. 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.

Technology
3% jobs are in Technology industry. The Median Salary Range for these jobs is $190,000 - $283,000
- 25% of job descriptions advertised a maximum salary above $364,000.
- 5% of job descriptions advertised a maximum salary above $391,000.
Digital Advertising
3% jobs are in Digital Advertising industry. The Median Salary Range for these jobs is $163,632 - $266,900
- 25% of job descriptions advertised a maximum salary above $319,810.
- 5% of job descriptions advertised a maximum salary above $335,720.
Insurance
3% jobs are in Insurance industry. The Median Salary Range for these jobs is $180,000 - $229,000
- 25% of job descriptions advertised a maximum salary above $244,750.
- 5% of job descriptions advertised a maximum salary above $250,000.
Fintech
3% jobs are in Fintech industry. The Median Salary Range for these jobs is $147,500 - $225,000
- 25% of job descriptions advertised a maximum salary above $226,875.
- 5% of job descriptions advertised a maximum salary above $227,500.
Software Development
11% jobs are in Software Development industry. The Median Salary Range for these jobs is $158,950 - $218,000
- 25% of job descriptions advertised a maximum salary above $268,175.
- 5% of job descriptions advertised a maximum salary above $831,050.
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.
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.
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.
Artificial Intelligence
3% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $100,000 - $147,500
- 25% of job descriptions advertised a maximum salary above $212,500.
- 5% of job descriptions advertised a maximum salary above $250,000.

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

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🔥 Data Engineer

Posted 1 day ago

📍 United States

💸 112800.0 - 126900.0 USD per year

🔍 Software Development

🏢 Company: Titan Cloud

🔧 Requirements

4+ years of work experience with ETL, Data Modeling, Data Analysis, and Data Architecture.
Experience operating very large data warehouses or data lakes.
Experience with building data pipelines and applications to stream and process datasets at low latencies.
MySQL, MSSQL Database, Postgres, Python

💡 Responsibilities

Design, implement, and maintain standardized data models that align with business needs and analytical use cases.
Optimize data structures and schemas for efficient querying, scalability, and performance across various storage and compute platforms.
Provide guidance and best practices for data storage, partitioning, indexing, and query optimization.
Developing and maintaining a data pipeline design.
Build robust and scalable ETL/ELT data pipelines to transform raw data into structured datasets optimized for analysis.
Collaborate with data scientists to streamline feature engineering and improve the accessibility of high-value data assets.
Designing, building, and maintaining the data architecture needed to support business decisions and data-driven applications. This includes collecting, storing, processing, and analyzing large amounts of data using AWS, Azure, and local tools and services.
Develop and enforce data governance standards to ensure consistency, accuracy, and reliability of data across the organization.
Ensure data quality, integrity, and completeness in all pipelines by implementing automated validation and monitoring mechanisms.
Implement data cataloging, metadata management, and lineage tracking to enhance data discoverability and usability.
Work with Engineering to manage and optimize data warehouse and data lake architectures, ensuring efficient storage and retrieval of structured and semi-structured data.
Evaluate and integrate emerging cloud-based data technologies to improve performance, scalability, and cost efficiency.
Assist with designing and implementing automated tools for collecting and transferring data from multiple source systems to the AWS and Azure cloud platform.
Work with DevOps Engineers to integrate any new code into existing pipelines
Collaborate with teams in trouble shooting functional and performance issues.
Must be a team player to be able to work in an agile environment

AWS PostgreSQL Python SQL Agile Apache Airflow Cloud Computing Data Analysis ETL Hadoop MySQL Data engineering Data science REST API Spark Communication Skills Analytical Skills CI/CD Problem Solving Terraform Attention to detail Organizational skills Microservices Teamwork Data visualization Data modeling Scripting

Posted 1 day ago

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🔥 Sr. Staff Quantitative Product Researcher

Posted 1 day ago

📍 United States

🧭 Regular

💸 158950.0 - 327000.0 USD per year

🔍 Software Development

🏢 Company: Pinterest👥 5001-10000💰 Post-IPO Equity over 2 years ago🫂 Last layoff about 2 years agoInternet Social Network Software Social Media Social Bookmarking

🔧 Requirements

7+ years of experience in quantitative product/user experience research with experience leading end-to-end quantitative research studies; an advanced degree in Statistics, Mathematics, or Economics is a plus but not required
Experience with Ad product development/UX research preferred
Knowledgeable of relevant statistical concepts (significance testing, regression/linear models).
Experience with a wide range of quantitative research approaches and methods, experimentation at scale, various survey methodologies and advanced data techniques (Max Diff, Conjoint, Segmentations, Drivers Analysis)
Experience with longitudinal analysis, multilevel/mixed effects modeling, and survey weighting and strong SQL and Quantitative Programming skills (R, Python, etc.)
Ability to synthesize data from multiple sources (surveys, behavioral, 3rd party) to craft clear insights with strategic business impact)
Strong storytelling skills with experience turning data into actionable insights and socializing across different departments (from ad sales executives to data scientists to high-level executives)
Adept communicator with a bias toward action and an excellent collaborator, able to build strong relationships within various cross functional teams within and outside of the monetization org.
Self-starter and problem solver who proactively partners with other (qual and quant) researchers and cross-functional partners, including Product, Data Science, Finance, Product Marketing, Content, Sales, Marketing, Comms, and Brand, to develop new research initiatives with high comfort working in ambiguity
Knows how to 'right size' research approach, i.e., when to deploy tried and tested tools and when to try something new
PhD preferred, in computational social sciences (e.g. Economics, sociology, psychology), statistics, computer science, related field, or equivalent practical experience

💡 Responsibilities

Work across monetization teams and as needed collaborate with consumer facing orgs to define and address complex, monetization impacting ecosystem - questions with implications for the business and overall user experience
Proactively guide teams to the most important questions and problems to address for users and/or the business; set the quantitative learning agenda for Monetization and decide on the best approaches to address it
Prioritize and conduct quantitative research that varies in approach, scale, scope, timeframe and methodology, while balancing effort against priority and impact
Explore the intersection of perceptions/attitudes and behaviors through surveys and deep behavioral analysis
Participate in the development of user-centric metrics for Monetization teams while aiding in the development of core centric user metrics
Elevate topics from the learning agenda that would be best to present to senior leadership and tailor deliverables and socialization efforts for these audiences.
Bring together a holistic understanding of the problem space from behavioral analyses, experiment learnings, qualitative insights, and own work to inform product and business decisions
Lead strategic initiatives and actively engage in the development of strategy with Product, Design, Engineering, and Data Science partners
Partner with research managers to set the quantitative research direction and provide guidance to more junior quantitative researchers

Python SQL Data Analysis Cross-functional Team Leadership Product Analytics Behavioral economics Data science Regression testing Communication Skills Research Data visualization Analytical thinking Data modeling A/B testing

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🔥 Senior Software Engineer, Data Platform

Posted 2 days ago

📍 United States, Canada

🧭 Full-Time

💸 147500.0 - 227500.0 USD per year

🔍 Financial Technology

🔧 Requirements

4+ years in software engineering for data systems.
Experience in scalable infrastructure to support batch, micro-batch or streaming processing
Experience in business domains such as payment systems, credit cards, bank transfers, or blockchains.
Experience in data governance and provenance.
Internal knowledge of open-source data technologies.
Ability to tackle complex and ambiguous problems.
Self-starter who takes ownership and enjoys moving at a fast pace.
Excellent communication skills, with the ability to collaborate across multiple remote teams, share ideas and present concepts effectively.

💡 Responsibilities

Design, build, and operate data platform services (warehousing, orchestration, and catalogs).
Continuously enhance platform operations by improving monitoring, performance, reliability, and resource optimization.
Design, build and maintain the data ingestion framework to source the required data for various analytical and reporting needs, which include onchain data, internal system data, and partner data.
Be a domain expert in data warehousing, modeling, pipelines, and quality. Work closely across multiple stakeholders–including Product, Engineering, Data Science, Security and Compliance teams–on data contract modeling, data lifecycle management, governance and regulatory/legal compliance.
Provide ML data platform capabilities for AI/Data Science teams to perform data preparation, model training and management, and experiment execution.
Develop and maintain core services and libraries to enhance critical platform functionalities, such as cataloging data assets and lineage, tracking data versioning and quality, managing auto-backfilling, implementing access controls on data assets.

AWS Docker PostgreSQL Python SQL Apache Airflow Blockchain Cloud Computing ETL Java Kafka Kubernetes Machine Learning Snowflake Algorithms Data engineering Data science Data Structures REST API CI/CD RESTful APIs Microservices Data visualization Data modeling Software Engineering Data analytics Data management

Posted 2 days ago

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🔥 Senior Data Engineer/Scientist

Posted 3 days ago

📍 United States, Canada

🧭 Full-Time

💸 105825.0 - 136950.0 CAD per year

🔍 Data Engineering

🏢 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

BS degree in Computer Science, Statistics, Engineering, or a related quantitative discipline
6+ years experience in a data engineering and data science-focused role
Proficiency in data manipulation and processing in SQL and Python
Expertise building data pipelines with new API endpoints from their documentation
Proficiency in building ETL pipelines to handle large volumes of data
Demonstrated experience in designing data models at scale

💡 Responsibilities

Build and maintain highly reliable computed tables, incorporating data from various sources, including unstructured and highly sensitive data
Access, manipulate, and integrate external datasets with internal data
Building analytical and statistical models to identify patterns, anomalies, and root causes
Leverage SQL and Python to shape and aggregate data
Incorporate generative AI tools (ChatGPT Enterprise) into production data pipelines and automated workflows
Collaborate closely with data scientists, data analysts, and Tableau developers to ship top quality analytic products
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 ETL Tableau API testing Data engineering Data science Spark Communication Skills Analytical Skills Data visualization Data modeling

Posted 3 days ago

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🔥 Data Science Manager

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 217000.0 - 303900.0 USD per year

🔍 Data Science

🏢 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
Experience with a team of 5+ data scientists.
Expertise in causal inference, A/B testing experimentation, metric definition and governance, and product strategy
Proficiency in SQL and Python/R

💡 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 3 days ago

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🔥 Senior Biostatistician

Posted 4 days ago

📍 United States

🧭 Full-Time

💸 150000.0 - 180000.0 USD per year

🔍 Health Technology

🏢 Company: PicnicHealth👥 51-100💰 $60,000,000 Series C over 2 years agoBiotechnology Big Data Medical Analytics Data Visualization Health Care

🔧 Requirements

An advanced degree in (bio)statistics, epidemiology, public health, health economics, or a related scientific discipline
5+ years experience in a quantitative position, including experience at a pharmaceutical or biotech company, contract research organization (CRO), or similar company within the life sciences
Advanced experience with R and tidyverse
Extensive experience leading the development and execution of statistical analysis plans for observational and / or real-world data studies that involve both primary and secondary data
Extensive experience contributing to observational study design and methodology, protocol development, quality control initiatives, and publications
Exceptional communication and presentation skills, especially in customer-facing, consultative interactions; you’re able to translate complex concepts and results to a variety of audiences
A collaborative approach, with experience working cross-functionally with diverse teams such as sales, epidemiology, quality / regulatory, data management, medical, patient enrollment, and clinical operations.
Intellectual curiosity and independence, strong organizational skills, and a flexible mindset with the ability to balance shifting priorities to meet or exceed expectations.

💡 Responsibilities

Lead the development and execution of comprehensive statistical analysis plans (SAPs) for observational research studies that leverage primary (e.g., PROs, ClinROs) and secondary data (e.g., medical records, claims), ensuring alignment with our clients’ objectives and support publication and regulatory submissions
Transform observational study data into actionable insights through advanced statistical methods, analytics, and compelling data visualizations in R
Partner with internal study teams and client stakeholders to develop robust study protocols, data and quality management plans, clinical study reports, and publications
Ensure the accuracy, quality, and integrity of statistical data and results, proactively assessing data quality, identifying gaps, and proposing solutions
Confidently present statistical findings, lead data trainings, and cultivate strong relationships to build trust and confidence, ensuring our clients can derive maximum value from study data and increasing opportunities for expanded analytics services
Become a subject matter expert on our data and its capabilities, and through that lens, lead technical initiatives that enhance our analytics capabilities, mentor junior team members, and drive team-wide process improvements

SQL Data Analysis ETL Machine Learning Data science Communication Skills Analytical Skills Collaboration Microsoft Excel Problem Solving Data visualization Data modeling Data management

Posted 4 days ago

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🔥 Director of Digital Product Management

Posted 4 days ago

📍 United States

💸 194717.0 - 246921.0 USD per year

🔍 Biopharma

🏢 Company: careers

🔧 Requirements

8+ years of product management experience, with at least 3 years leading Artificial Intelligence /Machine Learning driven products in biopharma or life sciences.
Deep understanding of clinical trial operations, regulatory pathways, and biopharma commercialization strategies. Demonstrable ability to define and meet KPIs with AI/ML driven capabilities.
Solid understanding of AI/ML technologies, including natural language processing, predictive analytics, and real-world data applications.
Proven experience managing cross-functional teams and influencing senior and end user partners.
Familiarity with global regulatory frameworks (e.g., FDA, EMA, ICH guidelines) as they relate to AI applications in biopharma.
Experience working with real-world evidence (RWE) and healthcare data sources.
Background in AI ethics and responsible AI principles in healthcare.
Track record of launching AI solutions in a highly regulated industry.

💡 Responsibilities

Define the vision, strategy, and roadmap for AI-powered products supporting clinical trials through commercialization in biopharma.
Collaborate with cross-functional teams, including data science, engineering, and data teams, to develop AI solutions that improve trial design, patient recruitment, and commercial decision-making.
Drive the end-to-end AI product lifecycle from ideation to go to market, ensuring alignment with business objectives and regulatory requirements.
Partner with biopharma clients, healthcare professionals, and regulatory agencies to understand needs and ensure AI solutions meet industry standards.
Stay ahead of advancements in AI, machine learning, and NLP applications within the biopharma industry, integrating standard processes into product development.
Ensure ethical AI principles and compliance with regulatory guidelines, including GxP, HIPAA, and FDA/EMA requirements.
Define and track key performance metrics for AI product effectiveness and adoption.

AWS Leadership Project Management SQL Agile Artificial Intelligence Data Analysis GCP Machine Learning People Management Product Management Cross-functional Team Leadership Data science RDBMS Stakeholder management Strategic thinking Data modeling

Posted 4 days ago

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🔥 Sr. Data Scientist II

Posted 4 days ago

📍 United States

🧭 Full-Time

💸 135000.0 - 180000.0 USD per year

🔍 Software Development

🏢 Company: Smartsheet👥 1001-5000💰 $3,200,000,000 Post-IPO Debt 6 months ago🫂 Last layoff about 2 years agoSaaS Enterprise Software

🔧 Requirements

Bachelor's degree and 8+ years of experience (or 10+ years of experience)
Extensive knowledge and practical experience in several of the following areas: Applied AI, machine learning, statistics, propensity modeling, churn prediction and recommender systems
Strong programming skills in Python or R

💡 Responsibilities

Partner with Sales and Customer Success teams, understand their goals, and execute on opportunities to draw relevant insights and drive tangible impact
Develop and implement machine learning based Cross-sell/Upsell models and Product Recommender models to drive Sales & Monetization
Build and deploy predictive models for Customer Churn and identify proactive churn risk prediction signals to drive retention

AWS Python SQL Data Analysis Machine Learning Tableau Data science Communication Skills Analytical Skills Data visualization

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🔥 Staff Data Scientist, Ads Experimentation

Posted 5 days ago

📍 United States

🧭 Full-Time

💸 217000.0 - 303900.0 USD per year

🔍 Digital Advertising

🏢 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

M.S.: 10+ years of industry data science experience, emphasizing experimentation and causal inference.
Ph.D.: 6+ years of industry data science experience, emphasizing experimentation and causal inference
Master's or Ph.D. in Statistics, Economics, Computer Science, or a related quantitative field
Expertise in experimental design, A/B testing, and causal inference
Proficiency in statistical programming (Python/R) and SQL
Demonstrated ability to apply statistical principles of experimentation (hypothesis testing, p-values, etc.)
Experience with large-scale data analysis and manipulation
Strong technical communication skills for both technical and non-technical audiences
Ability to thrive in fast-paced, ambiguous environments and drive action
Desire to mentor and elevate data science practices
Experience with digital advertising and marketplace dynamics (preferred)
Experience with advertising technology (preferred)

💡 Responsibilities

Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like Bayesian approaches and causal inference to optimize complex ad strategies
Extract critical insights through in-depth analysis, developing automated tools and actionable recommendations to drive impactful decisions Define and refine key metrics to empower product teams with a deeper understanding of feature performance
Partner with product and engineering to shape experiment roadmaps and drive data-informed product development
Provide technical leadership, mentor junior data scientists, and establish best practices for experimentation
Drive impactful results by collaborating effectively with product, engineering, sales, and marketing teams

AWS Python SQL Apache Airflow Data Analysis Hadoop Machine Learning Numpy Cross-functional Team Leadership Product Development Algorithms Data engineering Data science Regression testing Pandas Spark Communication Skills Analytical Skills Mentoring Data visualization Data modeling A/B testing

Posted 5 days ago

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🔥 Machine Learning Manager, Operations

Posted 5 days ago

📍 UK

🧭 Full-Time

💸 115000.0 - 130000.0 GBP per year

🔍 Financial Services

🔧 Requirements

You have experience managing teams of 4 or more high-performing Machine Learning professionals and owning Machine Learning systems in production.
You understand how ML systems work, how they should be designed based on the business problem they solve, and can communicate this to technical and non-technical people.
You have experience collaborating with senior business stakeholders and product teams to implement ML systems.
You know what makes a high-performing team and know how to get there. You care deeply about helping others achieve their goals and become the best Machine Learning Scientists they can be.
You have an empathetic leadership style, and you build strong, effective relationships.
You thrive working on ambiguous problems.
You want to be involved in building a product that you and the people you know use every day, with a product mindset that prioritises customer outcomes and data-informed decisions.
You’re adaptable, curious and enjoy learning new technologies and ideas.

💡 Responsibilities

You will head up machine learning for the whole Operations domain at Monzo, helping us to build up the vision, strategy, and team of machine learning experts for this area.
You’ll work across interdisciplinary squads, with Product Managers, Engineers and other Data colleagues (Data Analysts, Data Scientists, Analytics Engineers) to ensure we’re pursuing the most impactful machine learning opportunities, and tackling them with pragmatic, iterative, and high-quality systems.
You will lead the design, build and delivery of machine learning systems, working at the intersection of Data, Product, and Engineering, and ensuring that all systems we build are safe and appropriately validated.
You will support, coach, and develop high performing Machine Learning Scientists through regular 1:1s, continuous feedback and fostering relationships with other leaders at Monzo.
You will contribute to best practices: helping us become an exceptional place to work for ambitious, highly motivated people.
You’ll play a key role in scaling the impact of machine learning across Monzo: empowering Machine Learning Scientists to work across the end-to-end lifecycle of their models, including shipping the models they train into production, and contributing to how we define and build our workflows and tooling as we scale our discipline.

AWS Backend Development Leadership Python Software Development SQL Agile Cloud Computing Data Analysis Machine Learning People Management Product Management SCRUM Product Operations Cross-functional Team Leadership Algorithms API testing Data engineering Data science Communication Skills Analytical Skills Collaboration CI/CD Problem Solving RESTful APIs Mentoring Attention to detail Organizational skills Written communication Adaptability Problem-solving skills Empathy Team management Stakeholder management Strategic thinking Data modeling

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Shown 10 out of 142

Data science Job Salaries

Median high-range salary for jobs requiring Data Science:

Skills and Salary

Leadership

Algorithms

AWS

Machine Learning

Python

Data Analysis

Communication Skills

SQL

Data visualization

Industries and Salary

Technology

Digital Advertising

Insurance

Fintech

Software Development

Cryptocurrency and blockchain technology

Healthcare

AI and machine learning

AI observability and evaluation

Artificial Intelligence

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