CrawlJobs Logo

Data Scientist Engineer Advisor

nttdata.com Logo

NTT DATA

Location Icon

Location:
Mexico , Guadalajara

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

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
Icon
NTT DATA - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

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

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

Senior Director of AI Engineering

Coherent Solutions, Incorporated, seeks a Senior Director of AI Engineering in M...
Location
Location
United States , Minneapolis
Salary
Salary:
322000.00 USD / Year
coherentsolutions.com Logo
Coherent Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s degree in Computer Science, Data Science, Statistics, Computer Engineering, or a closely related technical field
  • at least 10 years of experience in AI, Machine Learning, Data Science, or Advanced Analytics, including at least 5 years in a technical or executive leadership capacity
  • 10 years of: (i) developing, training, and deploying AI and machine learning models using Python, SQL, Spark, and modern statistical and deep-learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
  • and (ii) building predictive modeling systems for enterprise use cases, including propensity models for quality and risks
  • 5 years of: (i) architecting and delivering end-to-end AI platforms and production workflows using Azure, AWS, Databricks, and MLOps tooling such as Spark pipelines, MLflow, and CI/CD automation
  • (ii) applying predictive analytics and/or advanced machine learning techniques (natural language processing and computer vision) to real-world product or enterprise applications
  • (iii) leading teams of Data Scientists, ML Engineers, and AI practitioners within Agile environments
  • and (iv) driving AI strategy and governance, including collaboration with executive stakeholders on ROI modeling, product direction, and roadmap
  • presenting complex AI outcomes to non-technical and C-level audiences, and implementing Responsible AI and data governance frameworks
  • at least 2 years of experience with GenAI/orchestration frameworks, including LangChain or LangGraph
Job Responsibility
Job Responsibility
  • Develop and execute comprehensive go-to-market and engineering strategies for AI, ML, and Generative AI offerings, aligned with corporate objectives set by the CTO
  • Design and oversee scalable AI architectures and MLOps frameworks using Azure ML, AWS Bedrock/SageMaker, Databricks, MLFlow, LangChain/LangGraph
  • Lead the development, validation, and deployment of machine learning and statistical models for prediction, personalization, optimization, and risk detection
  • Apply statistical and causal inference methods - regression, Bayesian inference, and uplift modeling - to measure model performance and business ROI
  • Direct the creation and maintenance of experimentation and analytics platforms supporting continuous testing, ML lifecycle automation, and reproducibility at enterprise scale
  • Oversee development of AI accelerators and reusable components in areas such as NLP, Generative AI, Computer Vision, and Agentic AI
  • Oversee management of data engineering and analytics infrastructure, ensuring data reliability, lineage, and compliance across distributed data pipelines using Python, SQL, and Spark
  • Lead implementation of Responsible AI frameworks, including bias detection, model explainability, and compliance with ethical and regulatory standards (GDPR, SEC/FINRA)
  • Partner with Sales, Marketing, and Delivery teams to define AI-driven value propositions and support client acquisition through technical pre-sales engagement and executive presentations
  • Serve as senior technical advisor to client executives, shaping multi-year AI roadmaps and quantifying business impact
What we offer
What we offer
  • health insurance
  • vision insurance
  • dental insurance
  • life insurance
  • PTO
  • 401k
  • HSA
  • Fulltime
Read More
Arrow Right

Data Engineer Advisor

NTT DATA strives to hire exceptional, innovative and passionate individuals who ...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience with Big Data Technologies or Cloud Technologies building data pipelines
  • DevOPs Experience (source control, continuous integration, deployments, etc.)
  • Experience with containerization and related technologies (e.g. Docker, Kubernetes)
  • Experience in other open-sources like Druid, Elastic Search, Logstash etc
  • Advanced knowledge of the Hadoop ecosystem and Big Data technologies
  • Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr)
  • System level understanding - Data structures, algorithms, distributed storage & compute
  • Exposure and / or development experience in Microservices Architectures best practices
  • Experience around REST APIs, services, and API authentication schemes
  • Knowledge in RDBMS and NoSQL technologies
Job Responsibility
Job Responsibility
  • Given the input from the Data Scientist and Data Modeler, create the data pipeline to ingest, cleanse and standardize the data so that it can be ready for analysis
  • Once the data is processed, apply the machine learning algorithm as prescribed by the Data Scientist with the production performance readiness
  • Once the result is processed, activate the models through either Micro Services, Reporting, Dashboard, or emails
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
Remote jobs Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog Salaries Tools About Us FAQ Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy