CrawlJobs Logo

Data Scientist

· Job Posted February 21, 2026
Apply Position
Job Link Share

Job Description

This role in particular aims to develop data insights from a large salary grouping. There’s scope to define how the data pipelines will work, and what statistical techniques and ML approaches to use. Over 90% of the team’s work makes it to production which is rare for Data science/AI teams, we aim to deliver value each quarter.

Job Responsibility

  • Solve real world problems using Data Science and statistical techniques
  • Implement functionality which can be served in production for internal customers as well as external customers
  • Designing, building and maintaining data sets
  • Data cleaning & modelling
  • Feature engineering
  • Feature extraction
  • Building end-to-end data & machine learning pipelines
  • Conduct reproducible research
  • Collaborate with Engineering, Operations, Product Management and other functions in the company to deliver algorithmic solutions
  • Apply software engineering practices in our code that implements our research and its infrastructure
  • Produce high quality, clean, maintainable reproducible research and code

Requirements

  • High proficiency in Python and its data science stack
  • Background and experience in data/backend engineering, ideally in production environments (3+ years) (Mid/Senior Level role)
  • Background and hands-on experience (2+ years) in implementing research and algorithms in Python, specifically in information retrieval, text processing, NLP, and machine learning
  • Experience with developing AI solutions across a variety of domains
  • Track record of good written and verbal communication of complex things in a simple way as well as ability to collaborate well with people from different backgrounds and professions
  • A Bachelor’s degree or higher
  • Must have hands on experience working with SQL
  • Must have hands on experience working with Python (Preferably with Pandas)
  • Must be strong at applying statistical methods to data
  • Must be strong with data pipelining
  • Must be an independent thinker and have the ability to work independently to solve problems

What we offer

  • Stock grant opportunities dependent on your role, employment status and location
  • Additional perks and benefits based on your employment status and country
  • The flexibility of remote work, including optional WeWork access

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Data Scientist

8 matching positions

Data Scientist

Stanton House has partnered with a media business based in Central London, that ...
Location
Location
United Kingdom , London
Salary
Salary:
500.00 - 600.00 GBP / Day
stantonhouse.com Logo
Stanton House
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong experience delivering machine learning and AI systems
  • Strong expertise in LLMs, Generative AI, and RAG systems
  • Proven experience building AI agents / agentic systems
  • Hands-on experience with LangGraph and/or similar frameworks
  • Strong Python engineering skills with experience building scalable systems
  • Experience with MLOps and ML platforming (e.g. Databricks or equivalent)
  • Experience designing and deploying systems on cloud platforms (AWS preferred)
  • Strong understanding of system design, orchestration, and production constraints
  • Ability to work independently, take ownership, and proactively drive work forward
  • Strong communication skills, with the ability to engage stakeholders and translate technical detail into business context
Job Responsibility
Job Responsibility
  • Design and build LLM-powered AI agents and multi-agent systems for real-world business applications
  • Develop agentic workflows, incorporating RAG, reasoning, planning, and tool orchestration
  • Build and deploy production-grade GenAI systems, not just prototypes
  • Integrate AI solutions into existing business systems, APIs, and workflows
  • Contribute to or establish MLOps frameworks (e.g. Databricks or similar environments)
  • Work closely with stakeholders to translate business problems into technical AI solutions
  • Own delivery end-to-end, operating with minimal supervision
  • Communicate complex technical concepts clearly to non-technical stakeholders
Read More
Arrow Right

Data Scientist

At Vodafone, we’re not just shaping the future of connectivity for our customers...
Location
Location
Egypt , Giza
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's (or equivalent) in quantitative fields like Mathematics, Statistics, Computer Science or Engineering
  • 0 to 2 years of relevant experience with a focus on advanced analytics and predictive modelling
  • Competent in machine learning principles, deep learning and generative AI techniques
  • Proficient in statistical packages and ML libraries (e.g. Python SciPy and Tensorflow, Spark MLlib)
  • Familiar with leading visualisation tools (e.g. Tableau, Spotfire, Power BI)
  • Familiar with implementing data transformations and algorithms in common programming languages
  • Strong communication skills with prior experience communicating analytics results to senior management
  • Strong knowledge of Big Data technology (e.g. Hadoop MR, interactive SQL on Hadoop, NoSQL, Spark, Tableau, GIS)
  • Deep and broad statistical modelling expertise in various domains
  • Ability to work cross functional teams to translate business issues into potential analytics solutions
Job Responsibility
Job Responsibility
  • Identifying business opportunities to make a commercial difference
  • leads the development of analytics initiatives to meet business requirements
  • Translates complex datasets into strategic insights for the business and communicates simply to non-technical audiences, visualising results, to create understanding and solution buy-in
  • Recognised as an expert in the community, mentoring and advising colleagues on statistical techniques, algorithms and data sources
  • Works closely with Technology teams to design, build, test, deploy, maintain and improve technology solutions and models
  • Identifies new analytics trends and opportunities to drive the innovation agenda across business functions & Advanced Analytics
  • Spread Design Thinking and Agile methodologies
  • Fulltime
Read More
Arrow Right

Data Scientist

We are looking for a Data Scientist to join a fast-paced investment environment ...
Location
Location
United States , New York
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in data science or quantitative research, preferably within financial services or investment-focused settings
  • Strong hands-on programming ability in Python, including experience working with large, unstructured, or imperfect datasets
  • Practical experience with PySpark, Databricks, SQL, ETL workflows, and cloud platforms such as AWS
  • Solid foundation in statistics, modeling techniques, and experimental design principles
  • Demonstrated ability to turn ambiguous business or research questions into rigorous analytical approaches
  • Comfortable operating in a high-expectation, fast-moving environment with a high degree of ownership and independence
Job Responsibility
Job Responsibility
  • Work closely with investment professionals to create quantitative studies, analytical frameworks, and practical tools that strengthen fundamental research workflows
  • Identify promising alternative data sources, assess their relevance and quality, and support their integration into the research process
  • Design and execute backtests, predictive models, and exploratory investigations to evaluate and refine investment hypotheses
  • Produce and maintain analyst-facing dashboards and reporting views within internal analytics environments
  • Convert one-off research requests into repeatable, clearly documented analyses that can be reused and scaled over time
  • Partner with engineering teams to define data needs, support ingestion processes, and improve dataset availability for research use
What we offer
What we offer
  • Medical, vision, dental, and life and disability insurance
  • 401(k) plan
  • Free online training
  • Fulltime
Read More
Arrow Right
New

Data Scientist

We are looking for a Mid & Senior Data Scientist focused on classical machine le...
Location
Location
Malaysia , Kuala Lumpur
Salary
Salary:
6000.00 - 15000.00 MYR / Month
https://www.randstad.com Logo
Randstad
Expiration Date
August 17, 2026
Flip Icon
Requirements
Requirements
  • Experience: 3+ years of professional data science experience delivering production-grade models
  • Traditional ML: Deep expertise in classical algorithms (XGBoost, LightGBM, Random Forests, Linear/Logistic Regression, Time-Series forecasting)
  • Technical Stack: Advanced Python (Scikit-Learn, Pandas, NumPy) and SQL
  • Methodology: Strong foundation in probability, statistics, and A/B testing
  • Education: Degree in a quantitative field (Statistics, Math, Computer Science, Economics, etc.)
Job Responsibility
Job Responsibility
  • Predictive Modeling: Build, evaluate, and deploy traditional ML models to solve complex business problems
  • Statistical Analysis: Apply rigorous statistical methods (hypothesis testing, regression, experimental design) to validate insights
  • Feature Engineering: Architect clean, scalable data pipelines and feature sets from large, complex datasets
  • Collaboration: Translate business goals into structured analytical frameworks alongside cross-functional teams
What we offer
What we offer
  • Highly competitive salary and benefits
  • A pragmatic, data-driven culture that values scientific rigor
Read More
Arrow Right
New

Data Scientist

WHAT'S IN IT FOR YOU Benefits: Compensation: $88,000 - $121,000 Annual Performan...
Location
Location
Canada , Cambridge
Salary
Salary:
88000.00 - 121000.00 USD / Year
atsautomation.com Logo
ATS Automation Tooling Systems Inc.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A post-secondary engineering degree, diploma or equivalent in a quantitative field (Computer Science, Information system, Mathematic, Statistics, Machine Learning, Artificial intelligence, Engineering)
  • A Master’s degree is considered beneficial
  • Strong experience with the deployment, configuration, and operationalization of Databricks environments, including workspace architecture, cluster management, CI/CD integration, security, governance, and enterprise-scale administration
  • Experienced in building and managing modern data pipelines and lakehouse architectures using Delta Lake, Delta Live Tables, Structured Streaming, Workflows, medallion architectures (Bronze/Silver/Gold), and real-time/batch ingestion frameworks
  • Deep understanding of Databricks ecosystem components including Unity Catalog, data lineage, RBAC, monitoring/observability, cost optimization, ML/AI enablement, model serving, and secure enterprise data collaboration through Clean Rooms
  • Proven experience integrating Databricks with enterprise cloud and industrial data ecosystems, including Kafka, SQL databases, APIs, IoT/OT platforms, and cloud environments such as Azure, AWS, and GCP
  • Strong understanding of scalable data engineering, governance, multi-tenant architectures, and enterprise data platform strategies supporting analytics, AI, and operational intelligence initiatives
  • Proficiency in programming languages like Python, R, or Java
  • Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy)
  • Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
What we offer
What we offer
  • Compensation: $88,000 - $121,000
  • Annual Performance-Based Incentive Bonus
  • 5% RRSP match
  • Stock purchase plan
  • Starting 3 weeks of vacation
  • Benefits package (health and dental) + $600 health spending account
  • Half-Day Fridays
  • Continuous learning and career growth with global mobility opportunities
  • A chance to contribute to something bigger - advancing the future of healthcare through automation
  • Fulltime
Read More
Arrow Right

Data Scientist

We are looking for a Data Scientist to support AI and machine learning initiativ...
Location
Location
United States , Palo Alto
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD or master's degree in statistics, informatics, data science, or a closely related quantitative field
  • For candidates with a master's degree, at least 4 years of relevant experience applying data science methods to business, research, or healthcare problems
  • Demonstrated experience building, evaluating, and implementing machine learning models in applied environments
  • Proficiency in Python or R, with the ability to process and analyze large datasets using SQL and cloud technologies
  • Strong grounding in statistics, machine learning, and artificial intelligence concepts at the graduate level
  • Experience collaborating with clinicians, researchers, or other cross-functional subject matter experts on complex analytical initiatives
  • Solid communication, prioritization, and problem-solving skills, with the ability to manage multiple deliverables effectively
Job Responsibility
Job Responsibility
  • Create, implement, and support AI- and ML-driven workflows that improve clinical, research, and administrative processes
  • Partner with cross-functional stakeholders to define analytical needs and deliver data science solutions aligned with healthcare use cases
  • Assess and refine tools, platforms, and methods used to manage model development, deployment, and ongoing lifecycle activities
  • Train, test, and validate internally developed or externally sourced machine learning models using hospital data and established quality controls
  • Perform bias reviews and model performance checks to help ensure responsible and reliable use of predictive algorithms
  • Analyze large-scale healthcare datasets using Python, R, SQL, and cloud-based or distributed computing environments
  • Work alongside clinicians and researchers to adapt analytical methods for real-world use in care delivery and related settings
What we offer
What we offer
  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan
  • Fulltime
Read More
Arrow Right

Data Scientist

Altamira Technologies has a long and successful history providing innovative sol...
Location
Location
United States , McLean
Salary
Salary:
140000.00 - 230000.00 USD / Year
altamiracorp.com Logo
Altamira Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Knowledge of Defense intelligence all source analysis, Operations research / systems engineering and analysis Intelligence community databases and tools, non-Defense intelligence analysis, structured analytic techniques, and text exploitation and analytics
  • Expertise in advanced tools such as: Mixed Mathematical Capabilities: R Software w/extensive variety of modules (plugins - statistics, modeling, visualization), Text Analytics - IN-SPIRE, Jigsaw, Text/Data - Net Owl, Gate, and Mathematics Modeling - MATLAB
  • A working knowledge with day-to-day data analysis tools are also necessary, Spreadsheet / Data - Excel s/Power plugins, Tableau, and Document Development-Word, MS Publisher
  • An understanding and experience with visual and geospatial analysis is an added benefit for the senior data scientist: Geospatial Analysis - OpenGeo, ArcGIS, GeoTime, Clavin, Visual Analytics - Vortek (Starlight), Visualization - Gephi, Word cloud tools, and Graphics Production - PowerPoint, Adobe Creative Suite, Photoshop, HTML5
  • 5-10 years of experience or an advanced degree MS / Ph.D.
  • Three years of experience in the intelligence community
  • TS/SCI with FSP clearance
Job Responsibility
Job Responsibility
  • Responsible for overall data science and data characterization technologies and will report to the on-site program manager
  • Assess technology development and evaluate its operational usefulness and eventually demonstrate the technology capability through test and evaluation
  • Results must be documented in writing and communicated both verbally and through multi-media methods to senior management
  • Fulltime
Read More
Arrow Right

Data Scientist

Proven to Perform. From the edges of space to the bottoms of ocean, our material...
Location
Location
United States , Cudahy
Salary
Salary:
Not provided
atimaterials.com Logo
ATI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • B.S. degree in computer science, engineering with a strong statistical and programming background
  • Experience in deep learning, predictive modeling, data mining, and time series analysis
  • Knowledge of image segmentation, generative models, convolutional neural networks
  • Experience in applied machine learning
Job Responsibility
Job Responsibility
  • Map data from multiple sources into new structures
  • Work with business subject matter experts to determine best solutions
  • Serve as a subject matter expert in the capabilities of Data Science
  • Collaborate with business owners to solve business problems using a broad spectrum of data science tools, packages and visualization techniques
  • Build models and optimization tools to support large scale projects that utilize online, offline data, structured, and unstructured data
  • Fulltime
Read More
Arrow Right