Machine Learning Officer - Junior Job at Inetum (Lisbon)

Data Analyst Junior - Pricing

Location

Italy , Milano

Salary:

Not provided

Allianz

Expiration Date

Until further notice

Requirements

Master's degree in Statistics, Mathematics, Actuarial, Physics or Computer Science
Python, Sas\Sql
Office
Strong analysis, problem-solving, and communication skills
Curious about new approaches and committed to continually increase technical knowledge
Team spirit, self-motivation, and a proactive result-driven working style as well as ability to interact in a global work environment with people from different countries and cultures
Fluent in Italian and English

Job Responsibility

Data collection and preparation for further analysis and modelling
Develop and update statistical models for Motor products using advanced statistical techniques like GLM and ML approach
Analysis of classification based on technical features
Demand models with application of different algorithms
Tariff definition/revision based on evidence from statistical models
Assessment on a regular basis of the quality and correctness of the models
Data exploration to improve model predictiveness
Update of the portfolio analysis with the main KPIs to monitor the acquired portfolio
Data processing to support standard portfolio or ad hoc simulation and monitoring analysis

Fulltime

Junior Data Scientist

Aramark Sports + Entertainment is hiring a Junior Data Scientist - Oracle Park, ...

Location

United States , San Francisco

Salary:

70000.00 - 95000.00 USD / Year

Aramark

Expiration Date

Until further notice

Requirements

Must be legally authorized to work in the United States without the need for current or future employment-based sponsorship from Aramark
Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related field
equivalent practical experience may be considered
1–3 years of experience in an analytical or data science role
Proficiency in data manipulation and transformation using Python or R
Familiarity with SQL for data querying and analysis
Knowledge of data science workflows including data cleaning, feature engineering, and predictive modeling
Effective organizational and time management skills, with the ability to manage multiple projects simultaneously
Solid understanding of statistics, experimental design, and core data science concepts
Strong communication skills with the ability to present findings and recommendations to technical and non-technical audiences

Job Responsibility

Analyze consumer behavior at Oracle Park by leveraging purchasing and dining data to identify key customer segments. Present insights using statistical methods and engaging visualizations tailored to diverse stakeholder audiences
Evaluate operational performance by integrating data from labor tracking, Point of Sale (POS), and inventory systems. Identify inefficiencies and recommend actionable improvements to enhance venue operations
Conduct ad-hoc analyses to assess the effectiveness of short-term strategies. Collaborate with cross-functional teams to define success metrics and deliver timely, data-backed evaluations
Support the development of automated reporting workflows that deliver key performance metrics to stakeholders, including Oracle Park operations and the San Francisco Giants
Assist in building scalable data pipelines using Python, R, and SQL to streamline data access and support analytics and reporting initiatives
Perform machine learning experiments and model evaluation tasks under the guidance of the team’s Lead Data Scientist

What we offer

medical, dental, vision, and work/life resources
retirement savings plans like 401(k)
paid days off such as parental leave and disability coverage

Fulltime

R&D Scientist/Engineer

ARiA is looking for highly motivated self-starters and low-ego team players to j...

Location

United States , Madison; Alexandria; Seattle

Salary:

Not provided

Applied Research in Acoustics

Expiration Date

Until further notice

Requirements

Master’s degree or greater (Ph.D. is desirable) in a relevant technical field (Acoustics, Electrical Engineering, Computer Science, or similar) or equivalent professional experience
Appropriate experience working in the field of signal processing in radar or sonar (waveform design, detection and classification, beamforming, etc.) and/or machine learning for acoustic or image data or AI (supervised and unsupervised learning, deep learning, kernel machines, latent semantic analysis, etc.)
Facility designing and developing code in modern programming/scripting languages such as C, C++, Java, Matlab, and Python
Exceptional ability and desire to acquire new knowledge and skills to solve challenges
Ability to work independently but collaboratively
Ability to manage multiple projects in a fast-paced professional office environment
Ability to communicate technical solutions to colleagues and customers
Superior oral and written communications skills
Applicants selected for employment will be subject to a government security investigation and must meet eligibility requirements, including U.S. citizenship, for access to sensitive information

Job Responsibility

Formulation and prototype implementation of original concepts and algorithms in numerical modeling, sonar-signal processing, and/or machine learning/artificial intelligence (AI)
Testing and evaluation of new algorithms based on theoretical analysis and experimental evaluation
Coordination with ARiA scientists and engineers in the development of algorithms and software products
Presentation of findings and results at scientific meetings and program reviews
Serving as a technical lead on projects by setting technical direction as well as mentoring and supporting the work of more junior colleagues
Supporting the transition of research algorithms to real-time operational prototypes through coordination with software engineers inside and outside of ARiA
Preparing documentation for customers to summarize design and status of software prototypes and products
Assisting with in-field integration, testing, and support, with some local travel required

Fulltime

Senior Robotics Software Engineer, Manipulation

As a Senior Robotics Software Engineer, Manipulation at Chef Robotics, you'll le...

Location

United States , San Francisco

Salary:

150000.00 - 260000.00 USD / Year

Chef Robotics

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or related field
7+ years of professional experience in robotics software development with focus on manipulation
Expert-level proficiency in Python and/or C++ with strong software engineering fundamentals
Deep understanding of both classical and machine/reinforcement learning approaches to robot manipulation
Extensive experience with robotic waypoint generation, path planning, and trajectory optimization
Proven experience leading and shipping complex robotics software projects
Strong background with common deep learning frameworks (TensorFlow, PyTorch)
Advanced knowledge of manipulation algorithms including grasping, placement, and dexterous manipulation
Experience with force control, impedance control, and compliant manipulation strategies
Understanding of contact dynamics and physics-based manipulation modeling

Job Responsibility

Lead the development of classical and ML/RL-based motion planning and manipulation algorithms that work reliably across thousands of different foods with varying physical properties (stickiness, density, viscosity, texture)
Design and implement novel algorithms to learn ingredient properties on-the-fly and intelligently adapt manipulation parameters in real-time
Develop robust manipulation strategies that can handle edge cases and unexpected ingredient behaviors
Incorporate new sensor data including force control, tactile feedback, and vision systems for enhanced manipulation precision
Develop sensor fusion algorithms that combine multiple data sources for improved manipulation decision-making
Implement real-time feedback loops that adjust manipulation parameters based on sensor input
Design calibration systems for accurate sensor-based manipulation control
Create diagnostic systems to monitor and validate sensor performance during manipulation tasks
Analyze manipulation performance across different ingredients and environmental conditions
Optimize manipulation trajectories and control parameters for maximum throughput while maintaining quality

What we offer

medical, dental, and vision insurance
commuter benefits
flexible paid time off (PTO)
catered lunch
401(k) matching
early-stage equity

Fulltime

IT Data Scientist

Department: 10126 Enterprise Corporate - Enterprise Advanced Analytics. Status: ...

Location

United States

Salary:

51.05 - 76.60 USD / Hour

Advocate Aurora Health

Expiration Date

Until further notice

Requirements

PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Biomedical Informatics or a related field, OR a Master’s degree with 2-4 years of applied experience in data science or machine learning
Typically requires 2-4 years of experience in solving complex problems in an analytical environment
Extensive experience working with large-scale structured and unstructured data, ensuring data quality and interpretability
Proficiency in Python and/or R for advanced data analysis, machine learning, and model deployment, along with strong SQL skills for working with large datasets
Expertise in statistical modeling, machine learning, and AI techniques, including regression, classification, time series forecasting, and ensemble methods, with experience in at least some advanced techniques (e.g., Bayesian inference, causal modeling, deep learning, LLMs, NLP, or knowledge engineering)
Demonstrated ability to lead collaborations with stakeholders, define analytics initiatives, and mentor junior team members
Strong critical thinking and problem-solving skills, with an iterative and pragmatic approach to real-world challenges
Proven ability to translate complex data into actionable insights, using storytelling, interactive dashboards, and presentations
Ability to independently manage multiple complex projects, set clear objectives, and drive high-impact initiatives
Experience writing clean, reusable, and well-documented code and working with containerization tools like Docker for model deployment

Job Responsibility

Collaborate with stakeholders and subject matter experts to define and refine data-driven initiatives that enhance healthcare operations and outcomes
Develop a strong understanding of complex, high-volume, and heterogeneous data, ensuring rigorous data development, cleaning, and validation
Apply machine learning and statistical modeling techniques, including regression, classification, clustering, time series forecasting, and ensemble methods
Utilize LLM-based text analytics and NLP techniques to extract insights from unstructured data sources such as clinical notes and reports
Perform exploratory data analysis and build structured analytical workflows using Python, R, and SQL
Communicate findings and methodologies effectively to both technical and non-technical audiences through reports, presentations, and interactive visualizations
Independently manage projects, setting clear objectives, benchmarks, and milestones while balancing iterative development with accountability
Develop well-documented, reusable code on cloud computing platforms to support analytical pipelines
Follow best practices in collaborative software development, including version control (Git) and modular code design

What we offer

Paid Time Off programs
Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability
Flexible Spending Accounts for eligible health care and dependent care expenses
Family benefits such as adoption assistance and paid parental leave
Defined contribution retirement plans with employer match and other financial wellness programs
Educational Assistance Program
Premium pay such as shift, on call, and more based on a teammate's job
Incentive pay for select positions
Opportunity for annual increases based on performance

Fulltime

Sr Imagery Analyst

BAE Systems is seeking a motivated, experienced Sr Imagery Analyst to join our t...

Location

United States , Falls Church

Salary:

95106.00 - 161680.00 USD / Year

Baesystems

Expiration Date

Until further notice

Requirements

8+ years of demonstrated imagery or geospatial analysis experience in the Intelligence Community at the national level, and/or military operational level, including GEOINT exploitation and reporting
ORDER OF BATTLE experience
Experience and proficiency using GIS or imagery viewing and exploitation software such as SOCET GXP, ArcGIS, QGIS, RemoteView, ERDAS IMAGINE, ENVI, Google Earth
Attended a certified imagery schoolhouse or the Geospatial Intelligence Training Program
Experience with Machine Learning training data creation, annotation, and review as well as Structured Observation Management
Extensive order of battle knowledge including air, sea, and ground equipment and infrastructure
Knowledge of the intelligence collection process
Experience in targeting and precision point mensuration
Demonstrated good oral and written communication skills
Knowledge of common office software to include Adobe, MS Office 365 to support the building of slide presentations, spreadsheets, word processing

Job Responsibility

Providing imagery and geospatial analysis services in the Machine Learning disciplines to facilitate the creation, review, and verification of training data for use in Artificial Intelligence platforms
Applying photointerpretation skills to available imagery, multi-INT, and other source data sources to properly identify, categorize, and annotate target objects
Possessing strong order of battle subject matter expertise
Training and conveying knowledge and experience to junior team members

What we offer

Health, dental, and vision insurance
Health savings accounts
A 401(k) savings plan
Disability coverage
Life and accident insurance
Employee assistance program
Legal plan
Discounts on things like home, auto, and pet insurance
Paid time off
Paid holidays

Fulltime

Data Analytics Intern

KAIROS, Inc is searching for an energetic, experienced, and highly motivated Dat...

Location

United States , California

Salary:

20.00 USD / Hour

KAIROS Inc

Expiration Date

Until further notice

Requirements

Strong customer relations, analytics, and documentation skills
Self-starter, highly motivated, strong work ethic with a commitment to quality
Microsoft Office Suite proficiency, i.e., Word, Excel, PowerPoint
Ability to work within a challenging, fast-paced, team-oriented environment
Ability to work independently
Ability to multitask and meet competing, deliverable deadlines
Detail oriented
Excellent interpersonal and customer service skills
Excellent verbal and written communication skills to provide clear status and/or communicate issues
Ability to adapt to evolving technology

Job Responsibility

Provide Data Engineering support across various platforms, including Databricks, Advana, and Palantir Foundry, encompassing data ingestion, transformation, and pipeline optimization
Develop and maintain scalable data workflows to enable advanced analytics and machine learning initiatives aligned with organizational goals
Support Data Science projects by applying statistical modeling, machine learning, and AI techniques to solve complex problems and extract actionable insights
Learn and leverage tools within the Advana/Jupyter Data and AI ecosystem, contributing to innovation aligned with the NAWCAD Wolf Tech Roadmap
Collaborate with cross-functional teams to integrate data engineering and data science solutions into mission-critical applications
Document processes and best practices for reproducibility and knowledge sharing across teams

What we offer

Medical Coverage
Employer Paid Dental, Vision, Basic Life/AD&D, Short-Term/Long-Term Insurance
Health Savings Account with Contribution by Employer
401K Plan with Employer Matching
Annual Discretionary Bonuses
Paid Time Off
Eleven (11) Paid Holidays
Certification reimbursement program
Tuition Reimbursement Program
Paid Parental Leave

Parttime

Consultant, Advisors – AI & GenAI Consulting

Our Performance Analytics consultants are data-driven problem solvers who combin...

Location

Portugal

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

Proven experience in designing, developing, and deploying Generative AI solutions, including working with large language models (LLMs), prompt engineering, and fine-tuning models for specific business use cases
Strong proficiency in Python and relevant AI/ML frameworks (e.g., Langchain, PyTorch, Google ADK)
Hands-on experience with cloud-based AI services (Azure OpenAI, AWS Sagemaker, Google Vertex AI) and integration into enterprise workflows
Solid understanding of machine learning, deep learning, and NLP techniques, with the ability to apply them to real-world problems
Familiarity with data engineering and big data tools (Spark, Databricks) to support scalable AI solutions
Ability to translate complex technical concepts into actionable insights for business stakeholders
Graduate Engineering with data and analytics experience in business intelligence or business translation
At least 2 years of relevant work experience in AI/ML roles
Proven experience collaborating with internal teams and external stakeholders to achieve shared objectives
Advanced Word, Excel, and PowerPoint skills

Job Responsibility

Support data-driven initiatives across Business Intelligence, machine learning, advanced analytics, and Generative AI by building robust models and leveraging cutting-edge tools to unlock measurable client value
Design methodologies tailored to client problem statements, applying critical thinking to account for internal and external constraints
Collaborate with Mastercard teams to understand client priorities, risks, and opportunities, ensuring alignment with business goals
Build trusted relationships with client stakeholders, acting as a strategic advisor and thought partner
Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients
Maintain and share project resources and repositories in alignment with organizational best practices, ensuring proper version control, documentation, and accessibility for the team
Collaborate effectively with team members to identify trends, patterns, and anomalies, while independently driving analysis that supports project objectives—including leveraging Generative AI techniques where applicable
Engage with the client and drive internal workstreams, contributing to effective project execution and delivery
Contribute to Mastercard’s intellectual capital and innovation agenda, with a focus on advancing AI-driven and Generative AI solutions
Receive guidance from analytics leaders while actively mentoring junior consultants, fostering mutual growth and contributing to a high-performance culture

Fulltime

Machine Learning Officer - Junior

Inetum

Location:
Portugal , Lisbon

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 26, 2025

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