Data Scientist Sr Job at NTT DATA (Guadalajara)

Sr Data Scientist

We are offering an exciting opportunity for a Sr Data Scientist based in Plano, ...

Location

United States , Plano

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proficiency in Data Mining Techniques
Must possess a deep understanding of Budget Processes
Should be highly skilled in Quantitative Analysis
Experience in Financial Modeling is highly desirable
Knowledge of SQL is a must
Proficiency in SAS is required
Must be adept at using Excel
Experience with Access is necessary

Job Responsibility

Apply advanced statistical analytics to assess future risks, opportunities, and effectiveness, translating results into solutions enhancing decision-making
Manage analytics regarding loan performance, including delinquency and credit losses, identify key drivers, and develop forecast expectations
Conduct innovative research projects, encapsulating project design, data collection and analysis, summarization of findings, and presentation of results
Utilize your skills in SQL, SAS, Excel, and Access to facilitate data analysis and financial modeling
Apply your knowledge of consumer lending business to produce advanced analytical material for discussions with cross-functional teams to understand complex business objectives and influence solution strategies
Interact with stakeholders to understand their business questions, craft methodologies to mine/analyze datasets, and deliver insightful recommendations
Use data mining techniques to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights
Participate in budget processes, providing quantitatively-backed recommendations and insights

What we offer

Access to top jobs
Competitive compensation and benefits
Free online training
Medical insurance
Vision insurance
Dental insurance
Life insurance
Disability insurance
401(k) plan

Fulltime

Sr Staff Data Scientist

The mission of the Data Science team at Mist is to leverage state-of-art ML and ...

Location

United States , San Jose

Salary:

148000.00 - 340500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

MS or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math, or a related quantitative discipline
Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
Proficient in coding, (preferably in Python) processing large-scale data sets and developing machine learning models
Able to communicate effectively in a variety of formats and collaborate with diverse teams

Job Responsibility

Research and develop statistical learning models for data analysis
Collaborate with product management and engineering departments to understand company needs and devise possible solutions
Keep up-to-date with latest technology trends
Communicate results and ideas to key decision makers
Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Optimize joint development efforts through appropriate database use and project design

What we offer

Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
Personal and professional development programs
Inclusive workplace policies

Fulltime

Sr Data Scientist

Location

India , Hyderabad

Salary:

Not provided

Genzeon

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in developing and deploying Large Language Models, and Machine learning and working with Pytorch
A thorough understanding of machine learning, particularly deep learning techniques, including knowledge of neural network architectures, training methods, and optimization algorithms
Proficiency in AI technology, Python, including experience with NLP libraries (e.g., Hugging Face Transformers, NLTK, spaCy), text classification
Experience with frameworks: PyTorch, or Tensorflow
Experience with cloud services (AWS, Azure) and ML deployment tool Docker
Familiarity with model fine-tuning and optimization techniques for LLMs
Proven track record of innovative solutions in the field of LLMs
Strong communication skills, with the ability to explain complex AI concepts to non-expert audiences

Job Responsibility

LLM Architecture: Good understanding of the architecture underlying large language models, such as Transformer-based models and their variants. Design and implement deep learning model architectures using PyTorch
Language Model Training and Fine-Tuning: Experience in training large-scale language models from scratch, as well as fine-tuning pre-trained models on domain data
Data Preprocessing for NLP: Skilled in preprocessing textual data, including tokenization, stemming, lemmatization, and handling of different text encoding
Transfer Learning and Adaptation: Proficiency in applying transfer learning techniques to adapt existing LLMs to new languages, domains, or specific business needs
Data Annotation and Evaluation: Skills in designing and implementing data annotation strategies for training LLMs and evaluating their performance using appropriate metrics
Scalability and Deployment: Experience in scaling LLMs for production environments, ensuring efficiency and robustness in deployment
Model Training, Optimization, and Evaluation: Evaluate the performance of PyTorch models using appropriate metrics and techniques like cross-validation, holdout sets, or online evaluation. This encompasses the complete cycle of training, fine-tuning, and validating language models. You will be designing and adapting LLMs for use in virtual assistants, Information retrieval and extraction etc
Experimentation with Emerging Technologies and Methods: Actively exploring new technologies and methodologies in language model development, including experimental frameworks and software tools
LLM Alignment: Understanding of algorithms like DPO, PPO, KPO, RLHF and using it for guardrails
AI Data Retrieval: Data retrieval from unstructured data, extract key value pairs using techniques like donut, layoutLM, table transformers

Sr Data Engineer

Resource Informatics Group, Inc. is actively seeking a skilled Senior Data Engin...

Location

United States , Irving

Salary:

Not provided

Resource Informatics Group

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields
Strong expertise in data engineering and cloud-based solutions
6+ years of experience in data engineering, architecture, and implementation of large-scale data solutions
Proficiency in designing and implementing data models, data structures, and algorithms
Advanced knowledge of SQL and NoSQL databases
Demonstrated expertise in optimizing data pipelines and improving data reliability, efficiency, and quality
Excellent problem-solving capabilities with a keen attention to detail
Strong communication and collaboration skills, with the ability to work effectively across diverse teams
Relevant certifications in cloud technologies (Azure, AWS, or GCP) advantageous
Master’s in Data Science or Computer Science or foreign equivalent, plus 6+ years of experience, OR Bachelor’s in Computer Science, Information Technology, or Electronics and Communication Engineering or foreign equivalent

Job Responsibility

Develop and execute ETL processes for data extraction, transformation, and loading into warehouses and data lakes
Architect data warehousing solutions using Azure Synapse Analytics for efficient querying and reporting
Optimize query performance, data processing speed, and resource utilization within Azure environments
Construct seamless data pipelines across Azure services utilizing Azure Data Factory, Databricks, and SQL Server Integration Services
Collaborate with stakeholders, including data scientists and analysts, to understand data requirements and deliver effective solutions
Manage large data volumes leveraging the Hadoop ecosystem for diverse source collection and loading
Design, maintain, and optimize data processing jobs using Hadoop MapReduce, Spark, and Hive, with coding in Java or Python for custom applications
Monitor job and cluster performance using tools like Ambari and custom monitoring scripts, scaling and maintaining Hadoop clusters and Azure data services
Ensure adherence to data security measures and governance standards
Integrate cross-cloud data with AWS and GCP services

Fulltime

Sr. Manager- Data Engineering

Adtalem is a data driven organization. The Data Engineering team builds data sol...

Location

United States , Lisle

Salary:

96404.10 - 169021.85 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field
8+ years experience in data engineering solutions such as data platforms, data ingestion, data management, or publication/analytics
3+ years leadership experience building and managing a high performing teams
2+ years experience in Google Cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows
Progressively responsible experience starting as Data Engineer and advancement in complexity, and level of responsibility
Must be highly analytical having the proven ability to develop and reverse complex engineering solutions
Critical thinking and advanced problem-solving skills are core behaviors among the team
Excellent oral/written communication and presentation skills
Experience in objectively evaluating current processes for opportunities to optimize inter departmental communication, collaboration, and end-to-end process performance

Job Responsibility

Design and build trusted, reliable and timely datasets, metrics and data pipelines that are critical to the direction of the company
Build and lead a high-performing data engineering team in a hands-on technical capacity
Be responsible for shaping how we acquire, collect and leverage data
Define and manage SLA's for all data sets and processes running in production
Work closely with Product Managers, Analysts, Data Scientists to develop and own data-driven systems
Develop data democratization layer for self-served reporting
Assist development team in troubleshooting, coding, testing, implementation, and documenting solutions
Support, grow, mentor and inspire new and existing team members
Be a key leader of the Data and Analytics team, working to propel the business towards being more data-driven
Performs other duties as assigned

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Sr. Director, Clinical Scientist

The Sr. Director, Clinical Scientist plays a pivotal role in shaping the clinica...

Location

United States , Philadelphia

Salary:

Not provided

Cabaletta Bio Inc

Expiration Date

Until further notice

Requirements

Advanced degree (MS, Ph.D., Pharm.D., M.D., or equivalent) in a relevant scientific discipline preferred
7+ years of clinical development experience within biotech, pharmaceutical, or academic settings, with demonstrated leadership in advancing programs through early and late-stage development
Cell and gene therapy experience—particularly in CAR-T or T-cell–based modalities—strongly preferred
autoimmune disease experience highly desirable
Deep understanding of T-cell biology, immunology, and translational science principles relevant to cellular therapy
Proven ability to author and critically review clinical protocols, study reports, and regulatory documents, ensuring scientific integrity and compliance with ICH-GCP and global regulatory standards
Demonstrated skill in analyzing complex clinical data, conducting literature reviews, and synthesizing insights to inform program strategy
Exceptional scientific judgment, attention to detail, and analytical rigor
Strong communication and collaboration skills, with the ability to influence and partner effectively across cross-functional teams, investigators, and external experts
Highly organized with the ability to manage multiple priorities in a fast-paced, evolving environment.

Job Responsibility

Serve as the clinical science lead for assigned CAR-T programs, partnering with the Medical Director on the design, execution, and interpretation of clinical studies across all phases of development
Author and oversee key clinical documents — including protocols, amendments, informed consent forms, investigator brochures, clinical study reports, and regulatory submissions (e.g., INDs, CTAs, DSURs, BLAs/MAAs)
Review, analyze, and interpret emerging clinical data (safety, efficacy, PK/PD) to identify trends and issues, ensuring timely resolution through cross-functional collaboration
Conduct literature and competitive landscape reviews to inform study design, data interpretation, and program strategy
Provide ongoing data review to ensure study conduct aligns with protocol, patient safety standards, and data integrity expectations
Collaborate with the Medical Monitor to ensure awareness of key safety and efficacy findings, supporting SAE review, narrative development, and safety governance activities
Lead or support governance activities, including preparation and presentation of materials for Development, Executive, and Scientific Steering Committees, as well as oversight of external boards (e.g., DSMB, adjudication committees)
Contribute to and present scientific and clinical data internally and externally (e.g., investigator meetings, scientific conferences, regulatory interactions)
Serve as the clinical science representative on cross-functional development and study teams, providing scientific and strategic input to ensure cohesive execution
Mentor study team members and contribute to vendor oversight to ensure consistency, quality, and scientific rigor across all clinical deliverables

What we offer

health and retirement, PTO, and stock option plans

Sr. Analyst, Informatics

At CVS Health, we’re building a world of health around every consumer and surrou...

Location

United States , Woonsocket, RI

Salary:

104645.00 USD / Year

CVS Health

Expiration Date

Until further notice

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Data Science, Statistics, Analytics, Business Analytics, or a related field and two (2) years of experience in the job offered or related occupation
Requires one (1) year of experience in each of the following: CI/CD, Jenkins, GIT, or DevOps
Java, Python, or R
Agile methodologies or SAFe Software Development Principles
ATG Commerce or Spring Boot
JIRA, Rally, or Confluence
Spark, Airflow, Kafka, Hbase, Pig, MySQL, or NoSQL
Objected-oriented JavaScript
Relational database concepts
SQL for querying and manipulating data

Job Responsibility

Apply statistical techniques and health informatics principles to enhance healthcare data analytics solutions and develop trend reporting for CVS Health business units
analyze business requirements and interpret statistical data for analytics initiatives in support of business objectives
develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to organize, collect and standardize data to generate insights and addresses reporting needs
write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities
identity data trends and factors impacting research, and determine appropriate statistical methods based on user needs
utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data and effectively communicate insights to inform business decisions
compare modeling techniques using statistical performance metrics and recommend improvements
structure data analysis to drive analytics insights and help data scientists determine the best solutions
visualize, interpret, and report data findings to internal clients and leadership
collaborate with teams and stakeholders to understand requirements and provide usable information to develop analytics solutions using industry leading tools, technologies and best practices

What we offer

The Company offers a full range of medical, dental, and vision benefits
Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees
The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits
CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners
As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year

Fulltime

Senior Data Engineer

Our Data Engineering Team is comprised of data experts. We build world-class dat...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

A BS in Computer Science or equivalent experience with 5+ years of professional experience as a Sr. Data Engineer or in a similar role
Strong programming skills using Python
Working knowledge of relational databases and query authoring (SQL)
Experience designing data models for optimal storage and retrieval to meet product and business requirements
Experience building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools
Experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka)
Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team
Well versed in modern software development practices (Agile, TDD, CICD)

Job Responsibility

You'll partner with the product analytics and data scientist team to build the data solutions that allow them to obtain more insights from our data and use that to support important business decisions
You'll work with different stakeholders to understand their needs and architect/build the data models, data acquisition/ingestion processes and data applications to address those requirements
You'll add new sources, code business rules, and produce new metrics that support the product analysts and data scientists
You'll be the data domain expert who understand all the nitty-gritty of our products
You'll own a problem end-to-end
You'll improve data quality by using & improving internal tools/frameworks to automatically detect DQ issues

What we offer

health and wellbeing resources
paid volunteer days

Data Scientist Sr

NTT DATA

Location:
Mexico , Guadalajara

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 26, 2026

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