Data Scientist Job at General Motors (São Caetano do Sul)

Data Scientist

We’re looking for a Data Scientist to join a major AI and machine learning progr...

Location

United Kingdom , London

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

Experienced within Financial Services
Strong Python experience (pandas, NumPy, scikit-learn)
Strong SQL skills
Experience developing and validating machine learning models
Experience with classification, ranking, and unsupervised learning techniques
Experience deploying machine learning solutions into production
Familiarity with Git and collaborative development practices
Experience working with time-series data and trend analysis
Strong exploratory data analysis skills

Job Responsibility

Design and develop AI and machine learning solutions
Build, validate, and deploy production-ready models
Perform exploratory data analysis and feature engineering
Develop classification, ranking, and anomaly detection models
Support machine learning deployment within containerised environments
Troubleshoot and debug code across the development life cycle
Work closely with technical and business stakeholders to solve complex problems
Produce technical documentation and support model governance activities

Data Scientist

Who we are: At Applied Network Solutions (ANS), we bring together some of the m...

Location

United States , Annapolis Junction

Salary:

100000.00 - 200000.00 USD / Year

Applied Network Solutions

Expiration Date

Until further notice

Requirements

Experience with quantitative analysis or modeling
Experience with developing requirements and building statistical or simulation models
Experience with scripting or scientific languages and software, including Python, R, MATLAB, @RISK, ARENA, or SAS
TS/SCI clearance with a Polygraph
Bachelor’s degree

Job Responsibility

The Data Scientist will work with a team of modelers to parse, clean, analyze, and visualize network traffic data in support of a network modeling effort to project future bandwidth on the IC Network.

What we offer

Family Medical, Dental (w/ adult orthodontia) and Vision coverage
Pet Discount Program
PTO (Paid Time Off)
Maternity/ Paternity Leave
Supplemental Military Leave Pay
11 Paid Holidays
401(k) plan with 6% Company Contribution
Generous Professional Development Program
100% Employer paid Short- and Long-Term Disability
100% Employer paid Life Insurance

Fulltime

Data Scientist

At Applied Network Solutions (ANS), we bring together some of the most curious m...

Location

United States , San Antonio

Salary:

100000.00 - 165000.00 USD / Year

Applied Network Solutions

Expiration Date

Until further notice

Requirements

Active TS/SCI clearance with Polygraph
A Bachelor's degree and 10 years of relevant experience. A Master's degree and 8 years of relevant experience. A Doctorate's degree and 6 years of relevant experience. An Associate's degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g., C)), data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering.

Job Responsibility

Working knowledge of statistics, programing and predictive modeling
Use programming languages (e.g., Python, R) to manipulate and analyze large data sets
Design and implement machine learning, data science and advanced analytical algorithms
Provide statistical analysis as well as (e.g. variability, sampling error, inference, hypothesis testing, EDA, applications of linear models), data management, data mining, data modeling and assessment

What we offer

Family Medical, Dental (w/ adult orthodontia) and Vision coverage
Pet Discount Program
PTO (Paid Time Off)
Maternity/ Paternity Leave
Supplemental Military Leave Pay
11 Paid Holidays
401(k) plan with 6% Company Contribution
Generous Professional Development Program
100% Employer paid Short- and Long-Term Disability
100% Employer paid Life Insurance

Data Scientist

Our company is seeking a highly analytical and innovative Data Scientist to join...

Location

United States , Saint Louis

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field
Experience with programming languages such as Python, R, and SQL
Strong knowledge of machine learning, statistical modeling, and data wrangling techniques
Excellent problem-solving, analytical, and communication skills

Job Responsibility

Develop and implement predictive models, machine learning algorithms, and analytical frameworks to solve complex business challenges
Analyze large datasets using statistical methods, data mining, and visualization tools
Collaborate with cross-functional teams to identify opportunities for data-driven improvements and deliver impactful solutions
Communicate results and recommendations clearly to both technical and non-technical stakeholders
Stay up to date with emerging trends, tools, and technologies in data science and analytics

What we offer

Competitive compensation and benefits package
Opportunities for professional growth and continuous learning
Collaborative team environment with challenging and meaningful projects
Medical, vision, dental, and life and disability insurance
401(k) plan

Fulltime

Data Scientist

NTT is seeking a Data Scientist / ML engineer with 4+ years of experience. This...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

4+ years of experience supporting data science projects in a consulting environment
4+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics, Data Design, Statistics, AI/ML, ML Ops
3+ years of experience using Python and/or R to analyze disparate datasets
Ability to travel at least 25%

Job Responsibility

Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning
Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction
Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders
Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes
Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered
Work with data sets of varying degrees of size and complexity including both structured and unstructured data
Piping and processing massive data-streams in distributed computing environments
Implement batch and real-time model scoring
Assemble large, complex data sets that meet functional / non-functional business requirements
Apply business knowledge to analyze data, develop reports and solve problems

Fulltime

Data Scientist

Stanton House has partnered with a media business based in Central London, that ...

Location

United Kingdom , London

Salary:

500.00 - 600.00 GBP / Day

Stanton House

Expiration Date

Until further notice

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

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

Data Scientist

At Vodafone, we’re not just shaping the future of connectivity for our customers...

Location

Egypt , Giza

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

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

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

Data Scientist

We are looking for a Data Scientist to join a fast-paced investment environment ...

Location

United States , New York

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

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

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

Medical, vision, dental, and life and disability insurance
401(k) plan
Free online training

Fulltime

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