CrawlJobs Logo

Data Scientist Engineer Advisor

nttdata.com Logo

NTT DATA

Location Icon

Location:
Mexico , Guadalajara

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

The Data Scientist Engineer Advisor role involves analyzing large datasets to derive actionable insights using advanced analytics and machine learning techniques. A Data Scientist is responsible for analyzing large sets of structured and unstructured data to derive actionable insights. This role involves using advanced analytics, machine learning, and statistical methods to solve complex business problems and support decision-making processes.

Job Responsibility:

  • Design and implement statistical models and machine learning algorithms to analyze data and predict outcomes
  • Gather data from various sources, clean and preprocess it for analysis
  • Create dashboards and visualizations to communicate findings to stakeholders and support executive decision-making
  • Work closely with cross-functional teams, including IT, marketing, and customer service, to understand business needs and deliver data-driven solutions
  • Stay updated with the latest industry trends and technologies in data science and apply them to improve processes and products

Requirements:

  • Strong knowledge of programming languages such as Python, R, and SQL
  • Experience with data visualization tools like Tableau or Power BI
  • Proficient in statistical methods and tools for data analysis
  • Experience with machine learning frameworks and libraries such as TensorFlow, scikit-learn, or PyTorch
  • Ability to handle large volumes of data and experience with data warehousing solutions
  • Strong understanding of business processes and the ability to translate data insights into actionable business strategies
  • Excellent verbal and written communication skills to effectively convey complex data insights to non-technical stakeholders
  • Minimum of 5 years of experience in data science or a related field

Nice to have:

  • A Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field
  • Previous experience in a similar role, preferably in the same industry
  • Relevant certifications in data science or machine learning

Additional Information:

Job Posted:
March 13, 2026

Work Type:
On-site work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Data Scientist Engineer Advisor

Lead Data Scientist

The Applications Development Technology Lead Analyst is a senior level position ...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6-16 years of relevant experience in Apps Development or systems analysis role
  • Extensive experience system analysis and in programming of software applications
  • Experience in managing and implementing successful projects
  • Subject Matter Expert (SME) in at least one area of Applications Development
  • Ability to adjust priorities quickly as circumstances dictate
  • Demonstrated leadership and project management skills
  • Consistently demonstrates clear and concise written and verbal communication
  • Advanced degree in Computer Science, Data Science, Machine Learning, or a related field
  • Proven experience in a senior AIML or data science role, preferably within the financial sector
  • In-depth knowledge of regulatory compliance, particularly Consent Orders and Article V
Job Responsibility
Job Responsibility
  • Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
  • Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
  • Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
  • Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
  • Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
  • Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
  • Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
  • Lead the development and deployment of AIML models to ensure compliance with Consent Orders and Article V regulations
  • Collaborate with compliance officers, legal teams, and other stakeholders to translate regulatory requirements into technical specifications
  • Fulltime
Read More
Arrow Right

AI Solutions Engineer

AI Solutions Engineer for Arize AI, the leading AI & Agent Engineering observabi...
Location
Location
United States
Salary
Salary:
125000.00 - 175000.00 USD / Year
arize.com Logo
Arize
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production
  • Comfortable working in public Cloud environments (AWS, Azure, GCP)
  • Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
  • Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy
  • Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations
  • Understanding of GenAI concepts and application evaluation + development lifecycle
  • Proficiency in a programming language (Python, JS/TS, Java, Go, etc)
  • Strong Communication Skills - Ability to simplify complex, technical concepts
  • A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV
Job Responsibility
Job Responsibility
  • Work closely with some of the most sophisticated ML / GenAI teams in the world
  • Act as a trusted advisor to our customers, while also building relationships with technical and business stakeholders
  • Advise on GenAI and ML best practices
  • Give ML and LLM product demos to technical and business stakeholders
  • Run strategic business reviews for customers in partnership with our sales team
  • Interface with our pre-sales engineering team to gather client goals and KPI’s
  • Partner with our product and engineering teams to help drive the product roadmap
  • Spearhead new opportunities within existing accounts to help drive expansions
What we offer
What we offer
  • competitive equity package
  • comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support
  • WFH monthly stipend to pay for co-working spaces
  • Fulltime
Read More
Arrow Right

AI Solutions Engineer

AI Solutions Engineer for Arize AI, the leading AI & Agent Engineering observabi...
Location
Location
United States , Raleigh
Salary
Salary:
125000.00 - 175000.00 USD / Year
arize.com Logo
Arize
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production
  • Comfortable working in public Cloud environments (AWS, Azure, GCP)
  • Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
  • Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy
  • Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations
  • Understanding of GenAI concepts and application evaluation + development lifecycle
  • Proficiency in a programming language (Python, JS/TS, Java, Go, etc)
  • Strong Communication Skills - Ability to simplify complex, technical concepts
  • A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV
Job Responsibility
Job Responsibility
  • Work closely with some of the most sophisticated ML / GenAI teams in the world
  • Act as a trusted advisor to our customers, while also building relationships with technical and business stakeholders
  • Advise on GenAI and ML best practices
  • Give ML and LLM product demos to technical and business stakeholders
  • Run strategic business reviews for customers in partnership with our sales team
  • Interface with our pre-sales engineering team to gather client goals and KPI’s
  • Partner with our product and engineering teams to help drive the product roadmap
  • Spearhead new opportunities within existing accounts to help drive expansions
What we offer
What we offer
  • competitive equity package
  • comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support
  • WFH monthly stipend to pay for co-working spaces
  • Fulltime
Read More
Arrow Right
New

Head of Enterprise Data & Analytics

The Head of Enterprise Data Management & Analytics is a senior leadership role r...
Location
Location
United States , San Jose
Salary
Salary:
219000.00 - 300000.00 USD / Year
archer.com Logo
Archer Aviation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s preferred)
  • 10+ years of experience in data management, analytics, or related roles, with increasing leadership responsibility
  • Proven experience leading teams of data architects and/or data scientists
  • Strong expertise in enterprise data architecture, data warehousing, and analytics platforms (cloud-based preferred)
  • Experience establishing data governance and quality frameworks in a regulated or public company environment
  • Ability to operate effectively in a fast-paced, high-growth setting
  • Familiarity with SOX, financial reporting data requirements, and audit support
  • Hands-on experience with modern data stacks (e.g., cloud data warehouses, BI tools, orchestration frameworks)
  • Demonstrated success scaling data capabilities alongside rapid business growth
  • Excellent written and verbal communication skills
Job Responsibility
Job Responsibility
  • Define and execute the enterprise data management and analytics strategy aligned with business objectives and growth plans
  • Serve as the senior leader for enterprise data architecture, data governance & privacy, analytics, and data science capabilities
  • Establish operating models, standards, and best practices suitable for a growing public company
  • Build, lead, and mentor a high-performing team of data architects and data scientists
  • Own the enterprise data architecture, including data models, integration patterns, and analytics platforms
  • Ensure scalable, secure, and reliable data pipelines across internal and external data sources
  • Partner with engineering and IT teams on cloud data platforms, tooling, and technology roadmaps
  • Drive simplification and modernization of data systems as the company scales
  • Establish and oversee enterprise data governance, including data ownership, stewardship, metadata, and lineage
  • Ensure data quality, consistency, and integrity across enterprise systems
What we offer
What we offer
  • Equal-opportunity employer committed to creating a diverse and inclusive workplace
  • Reasonable accommodations for applicants with physical or mental disabilities, and those with sincerely held religious beliefs
  • Fulltime
Read More
Arrow Right

Vice President - Bigdata Engineer - AI & NLP

The Applications Development Technology Lead Analyst is a senior-level position ...
Location
Location
India , Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 13+ years of relevant experience in Apps Development or systems analysis role
  • Extensive experience in system analysis and programming of software applications
  • Experience in managing and implementing successful projects
  • Expert in coding Python in building Machine Learning and developing LLM-based applications in a professional environment
  • SQL skills able to perform data interrogations
  • Proficiency in enterprise-level application development using Java 8, Scala, Oracle (or comparable database), and Messaging infrastructure like Solace, Kafka, Tibco EMS
  • Develop LLM solutions for querying structured data with natural language, including RAG architectures on enterprise knowledge bases
  • Build, scale, and optimize data science workloads, applying best MLOps practices for production
  • Lead the design and development of LLM-based tools to increase data accessibility, focusing on text-to-SQL platforms
  • Train and fine-tune LLM models to accurately interpret natural language queries and generate SQL queries
Job Responsibility
Job Responsibility
  • Partner with multiple management teams to ensure appropriate integration of functions to meet goals
  • Identify and define necessary system enhancements to deploy new products and process improvements
  • Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
  • Provide expertise in area and advanced knowledge of applications programming
  • Ensure application design adheres to the overall architecture blueprint
  • Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
  • Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
  • Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
  • Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets
What we offer
What we offer
  • Global Benefits
  • Best-in-class benefits to be well, live well and save well
  • Fulltime
Read More
Arrow Right

Head of Data

The Head of Data will be responsible for leading and scaling the Data organisati...
Location
Location
Netherlands , Amsterdam
Salary
Salary:
Not provided
bitvavo.com Logo
Bitvavo
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in data-related roles
  • 3+ years in a senior leadership or management position
  • Proven experience leading and scaling data teams in a startup or high-growth environment
  • Deep understanding of modern data ecosystems, including: Analytics and BI Data modelling and metrics design Data infrastructure and pipelines
  • Strong intuition for what “good” looks like in data quality, metrics, and decision support
  • Ability to engage deeply with technical discussions without needing to be hands-on day-to-day
  • Strong business mindset, with experience translating business goals into measurable outcomes and KPIs
  • Experience in FinTech, B2C, exchanges, or financial services environments
  • Ability to work autonomously and proactively drive strategy and execution
  • Strong problem-solving and analytical skills, with a bias toward impact
Job Responsibility
Job Responsibility
  • Define and execute the company’s data strategy, covering analytics, data modelling, metrics, experimentation, and data infrastructure, aligned with business objectives
  • Establish clear data principles, standards, and best practices to ensure high data quality, reliability, and usability across the organisation
  • Drive the evolution of the data platform to support scale, performance, and growing analytical complexity
  • Lead, grow, and develop a high-performing Data organisation of ~25 people, including Data Engineers, Analytics Engineers, Data Analysts, Scientists, and related roles
  • Build strong managers and senior ICs, fostering a culture of ownership, accountability, and continuous improvement
  • Recruit, hire, and onboard top talent as the organisation scales
  • Own the company’s metrics and KPI framework, ensuring consistent definitions, governance, and alignment across teams
  • Partner with Product, Engineering, Finance, Risk, Operations, Marketing and Commercial teams to translate business questions into robust analytical solutions
  • Enable data-informed decision-making at all levels of the organisation, from operational teams to executive leadership
  • Act as a trusted partner and advisor to senior leaders and department heads
  • Fulltime
Read More
Arrow Right

Senior Associate, Product Management - Machine Learning and AI

Senior Associate, Product Management - Machine Learning and AI. Product Manageme...
Location
Location
United States , McLean; Charlotte; Richmond
Salary
Salary:
101100.00 - 126900.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree or military experience
  • At least 1 year of product management experience or at least 1 year of experience in product design, agile delivery, business analysis, data science, or software engineering
Job Responsibility
Job Responsibility
  • Lead the development of our next generation of GenAI products
  • Guide the product development teams, and ensure the alignment of product features with strategic business goals
  • Oversee the planning, execution, and delivery of artificial intelligence products within Commercial Bank
  • Collaborate with engineers and data scientists to define product specifications
  • Work with marketing, ops, risk, lending, sales teams to ensure the products resonate with the market
  • Conduct market analysis to identify trends and opportunities for AI applications, techniques
  • Manage the product roadmap, prioritize features, and make strategic decisions to balance business goals with technological & AI capabilities
  • Work with stakeholders across different lines of business including Commercial Real Estate, Corporate Bank, Capital Markets, Treasury Management, etc. to understand user needs, gaps, and opportunities
  • Leverage a design thinking approach to understand user personas and journey to drive problem solving
  • Develop a short to medium-term roadmap for the product based on problems, gaps, and opportunities
What we offer
What we offer
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • Fulltime
Read More
Arrow Right

AI Technical Product Manager

Lead development and implementation of complex information technology projects t...
Location
Location
United States , Boston
Salary
Salary:
Not provided
hbs.edu Logo
HBS
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum of seven years’ post-secondary education or relevant work experience
  • Knowledge of Microsoft Office Suite, advanced Excel skills
  • Knowledge of information technology applications, processes, software and equipment
  • Highly specialized knowledge of a specific technology
  • Knowledge of advanced IT project management principles (e.g. Agile) and software
  • Demonstrated cross-functional project management experience
  • Demonstrated team performance skills, service mindset approach, and the ability to act as a trusted advisor
  • Attitude that supports an Agile working environment
  • Master's degree in Computer Science, Engineering, Data Science, or related technical field
  • Experience with large language models, prompt engineering, or RAG systems
Job Responsibility
Job Responsibility
  • Lead development and implementation of complex information technology projects to solve problems that may have wide impact, requiring high levels of functional integration and involving multiple disciplines to be managed
  • May manage a number of projects simultaneously
  • Bridge the gap between artificial intelligence capabilities and real-world product applications, combining deep technical understanding with strategic product understanding to build AI-powered solutions that deliver measurable value
  • Balance innovation with practical implementation, assessing technical feasibility and business impact
  • Establish success metrics and KPIs for AI product initiatives
  • Collaborate with data scientists, ML engineers, and software developers to translate business requirements into technical specifications
  • Understand AI/ML fundamentals including model architectures, training processes, evaluation metrics, and deployment considerations
  • Make informed decisions about model selection, data requirements, and infrastructure needs
  • Evaluate emerging AI technologies and determine their applicability to product challenges and understand risk mitigation strategies
  • Partner with engineering teams to prioritize features and manage the development lifecycle
What we offer
What we offer
  • Generous paid time off including parental leave
  • Medical, dental, and vision health insurance coverage starting on day one
  • Retirement plans with university contributions
  • Wellbeing and mental health resources
  • Support for families and caregivers
  • Professional development opportunities including tuition assistance and reimbursement
  • Commuter benefits, discounts and campus perks
  • Fulltime
Read More
Arrow Right