Data Scientist Assistant Job at MDPI (Basel)

Senior Data Scientist – Gen AI Engineer - Assistant Vice President

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
8–12 years of experience as a Data Scientist or equivalent role, with at least 2 years of specialized, hands-on experience in Generative AI, including leading technical development and mentoring teams.
Demonstrable experience across the full lifecycle of production-level GenAI projects — from ideation and prototyping through deployment, monitoring, and ongoing maintenance in live environments.
Expert-level Python proficiency
Scikit-learn, XGBoost, LightGBM
PyTorch
Hugging Face Transformers, LangChain, LlamaIndex, Semantic Kernel
LangGraph, CrewAI, AutoGen
Transformer architectures
RAG patterns

Job Responsibility

Working with financial and enterprise data, applying modern NLP and GenAI techniques to solve business problems.
Designing, refining, and systematizing prompt engineering strategies for large language models (LLMs), including structured prompting, chain-of-thought, and few-shot/zero-shot approaches.
Collaborating with business stakeholders to translate requirements into GenAI-powered solutions.
Developing, testing, and maintaining production-grade Python code for GenAI applications.
Integrating with vector databases (e.g., Pinecone, Weaviate, Milvus, pgvector, Qdrant) for retrieval-augmented generation (RAG) pipelines.
Building, monitoring, and optimizing MLOps/LLMOps pipelines for continuous model deployment and observability.
Researching and evaluating emerging GenAI technologies, frameworks, and best practices to maintain competitive advantage.
Troubleshooting and debugging GenAI models and agentic systems in production, including rapid identification and resolution of issues in real-world deployments.
Communicating complex AI/ML concepts clearly to non-technical stakeholders, translating technical jargon into actionable business terms.
Participating in and leading team meetings, design reviews, and architecture discussions.

Fulltime

Associate Data Scientist (Data Engineering)

The Associate – Data Engineering role is an entry‑level engineering position wit...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s (3 to 6 Yrs) or Master’s (2 to 4 Yrs) degree in Computer Science, Engineering, Information Systems, Data Science, or a related quantitative/technical field
Experience in data engineering, software engineering, analytics engineering, or data/tech role
Familiarity with data concepts (tables, schemas, joins, basic transformations)
Proficiency in SQL and data analysis and structured data
Strong problem‑solving and analytical reasoning skills
Effective written and verbal communication skills
Strong learning mindset and willingness to work with new tools, datasets, and business contexts

Job Responsibility

Support building and maintaining data ingestion and transformation workflows (ETL/ELT) for marketing and media datasets
Assist with implementing data validations and QA checks (schema checks, null checks, duplication checks, count reconciliation) to ensure datasets are reliable and analytics‑ready
Help monitor pipeline runs and refresh schedules, investigate failures using logs, and escalate issues with clear context and evidence
Support development of reusable, governed datasets / data products that are consistent and easy for BI and analytics teams to consume
Contribute to documentation (data flow notes, runbooks, assumptions, source mapping) to improve operational stability and handoffs
Collaborate with cross‑functional partners (MSO BI, MSO Ops, Analytics teams, Vendors) to ensure inputs and outputs are aligned and dependable
Participate in continuous learning and improvement to strengthen engineering fundamentals, reliability practices, and delivery discipline
Analyze and understand the functional & non-functional requirements for Investment and Media Analytics function, and translate them into prototype, technical specifications

New

Associate Data Scientist - Investment Analytics

The Marketing Investment Optimization (MIO) vertical at Amgen is responsible for...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor's (3 to 6 Yrs) or master's (2 to 4 Yrs) degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering
Experience in any analytical, data, or problem-solving role
Strong SQL skills and hands-on experience with Python or R

Job Responsibility

Develop and apply advanced statistical models that help clients understand dynamic business issues
Leverage analytic techniques to use data to guide decision-making
Design custom analyses in R, Python and Excel to investigate and inform business needs
Assist in preparing analysis summaries, documentation, and presentation materials
Collaborate with team members to meet project timelines and quality standards and actively communicate project status updates
Engage in ongoing learning to develop industry knowledge, and technical capabilities

New

Assistant Scientist

The position is required to increase the capacity of the environmental quality a...

Location

United States , Manhattan

Salary:

18.86 - 32.05 USD / Hour

Kansas State University

Expiration Date

June 22, 2026

Requirements

Requires a bachelor's degree
Valid driver's license

Job Responsibility

Increase the capacity of the environmental quality applied research and extension program
Establish and maintain laboratory and field based experiments and the associated equipment and infrastructure
Conduct fieldwork and data collection in an efficient and timely manner
Fulfill requirements of externally funded research activities
Assist in timely reporting and effective dissemination of information through extension and scientific publication

What we offer

Health and life insurance
Retirement plans
Generous paid time off

Fulltime

!

New

Senior Data Scientist

We are looking for an experienced Senior Data Scientist to drive advanced analyt...

Location

Poland

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong experience in machine learning, statistics, and applied data science
Experience with causal inference, experimentation, or decision science methodologies
Solid understanding of forecasting, optimization, or analytical modeling techniques
Strong programming skills in Python and SQL
Experience building and deploying production-ready data science or ML systems
Familiarity with model lifecycle management (training, deployment, monitoring)
Hands-on experience with at least one major cloud platform: Azure (preferred), AWS, or GCP
Experience working with modern data and AI platforms (e.g., Azure ML / Azure AI, Databricks, or similar ecosystems)
Experience working with complex, multi-source datasets (e.g., transactional, behavioral, operational data)
Ability to translate business problems into analytical frameworks

Job Responsibility

Develop and deploy machine learning models across use cases (forecasting, optimization, recommendation systems)
Apply statistical, predictive, and prescriptive modeling techniques to solve business problems
Build reusable modeling frameworks that can scale across multiple domains
Design and implement causal inference methods (e.g., uplift modeling, experiments, quasi-experimental methods)
Translate observational and experimental data into actionable business insights
Embed causal reasoning into decision systems that guide actions (e.g., optimization, prioritization, trade-offs)
Integrate GenAI capabilities (e.g., LLMs, RAG pipelines, agent-based systems) into data science workflows
Contribute to the development of intelligent agents and AI-assisted decision-making systems
Combine structured data models with unstructured data and GenAI outputs
Build forecasting models (time-series, probabilistic, causal) to support planning and operations

What we offer

24 working days of paid vacation
National holidays covered
Sick leave (up to 20/year)
Unpaid leave (up to 20/year)
Medical insurance
Multisport card OR Multikafeteria
Maternity & paternity leave support
Internal workshops & learning initiatives
Professional certifications reimbursement
Participation in professional local & global communities

Fulltime

New

Senior Data Scientist

Location

Ukraine

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong experience in machine learning, statistics, and applied data science
Experience with causal inference, experimentation, or decision science methodologies
Solid understanding of forecasting, optimization, or analytical modeling techniques
Strong programming skills in Python and SQL
Experience building and deploying production-ready data science or ML systems
Familiarity with model lifecycle management (training, deployment, monitoring)
Hands-on experience with at least one major cloud platform: Azure (preferred), AWS, or GCP
Experience working with modern data and AI platforms (e.g., Azure ML / Azure AI, Databricks, or similar ecosystems)
Experience working with complex, multi-source datasets (e.g., transactional, behavioral, operational data)
Ability to translate business problems into analytical frameworks

Job Responsibility

Develop and deploy machine learning models across use cases (forecasting, optimization, recommendation systems)
Apply statistical, predictive, and prescriptive modeling techniques to solve business problems
Build reusable modeling frameworks that can scale across multiple domains
Design and implement causal inference methods (e.g., uplift modeling, experiments, quasi-experimental methods)
Translate observational and experimental data into actionable business insights
Embed causal reasoning into decision systems that guide actions (e.g., optimization, prioritization, trade-offs)
Integrate GenAI capabilities (e.g., LLMs, RAG pipelines, agent-based systems) into data science workflows
Contribute to the development of intelligent agents and AI-assisted decision-making systems
Combine structured data models with unstructured data and GenAI outputs
Build forecasting models (time-series, probabilistic, causal) to support planning and operations

What we offer

Medical insurance
Sports reimbursement budget
Home office support
A number of free psychological and legal consultations
Maternity and paternity leave support
Internal workshops and learning initiatives
English language classes compensation
Professional certifications reimbursement
Participation in professional local and global communities
Growth Framework to manage expectations and define the steps to move towards the selected career

Fulltime

New

Junior Data Scientist

At Boeing, we innovate and collaborate to make the world a better place. We’re c...

Location

Canada , Richmond

Salary:

69000.00 - 123000.00 CAD / Year

Boeing

Expiration Date

June 23, 2026

Requirements

2+ years’ experience working as part of an integrated data science development team
Demonstrated experience in applied machine learning
2+ years of experience with Python
2+ years of experience with data querying
Experience writing code in a collaborative environment (e.g. using Git)
Must be legally able to work in Canada
Individual must not pose a risk for safeguarding of controlled goods
Must be eligible to handle US export-controlled data

Job Responsibility

Communicates effectively with customers, product owners, and other stakeholders to understand requirements, support development efforts, and share deliverables and results
Works with cross-functional workstreams to help implement complex analytics solutions to meet business objectives
Supports development and maintenance of production-level analytics tools for both internal use and customer-facing applications
Assists in evaluation, validation, and continuous performance monitoring of supported applications, models, and analyses
Champions a culture of quality, continuous learning, trust, and collaboration

What we offer

Competitive base pay and incentive programs
Industry-leading tuition assistance program pays your institution directly
Resources and opportunities to grow your career
Up to $10,000 match when you support your favorite nonprofit organizations

Fulltime

!

New

Senior Data Scientist

We are looking for an experienced Senior Data Scientist to drive advanced analyt...

Location

Portugal , Lisbon

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong experience in machine learning, statistics, and applied data science
Experience with causal inference, experimentation, or decision science methodologies
Solid understanding of forecasting, optimization, or analytical modeling techniques
Strong programming skills in Python and SQL
Experience building and deploying production-ready data science or ML systems
Familiarity with model lifecycle management (training, deployment, monitoring)
Hands-on experience with at least one major cloud platform: Azure (preferred), AWS, or GCP
Experience working with modern data and AI platforms (e.g., Azure ML / Azure AI, Databricks, or similar ecosystems)
Experience working with complex, multi-source datasets (e.g., transactional, behavioral, operational data)
Ability to translate business problems into analytical frameworks

Job Responsibility

Develop and deploy machine learning models across use cases (forecasting, optimization, recommendation systems)
Apply statistical, predictive, and prescriptive modeling techniques to solve business problems
Build reusable modeling frameworks that can scale across multiple domains
Design and implement causal inference methods (e.g., uplift modeling, experiments, quasi-experimental methods)
Translate observational and experimental data into actionable business insights
Embed causal reasoning into decision systems that guide actions (e.g., optimization, prioritization, trade-offs)
Integrate GenAI capabilities (e.g., LLMs, RAG pipelines, agent-based systems) into data science workflows
Contribute to the development of intelligent agents and AI-assisted decision-making systems
Combine structured data models with unstructured data and GenAI outputs
Build forecasting models (time-series, probabilistic, causal) to support planning and operations

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

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Data Scientist Assistant

Job Description

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