Data Scientist

We are looking for a Data Scientist with a strong background in modern machine l...

Location

Salary:

Not provided

Sigli

Expiration Date

Until further notice

Requirements

3+ years of experience as a Data Scientist or in a related field
Strong knowledge of Python and classic data science tools/libraries (NumPy, Pandas, NLTK, Scikit-learn, etc.)
Experience with modern AI/LLM frameworks (e.g., LangChain, ChainCraft, or similar)
Solid understanding of machine learning fundamentals and practical application of algorithms
Ability to work independently as well as part of a collaborative team
Strong problem-solving skills and curiosity to explore new approaches
Upper-intermediate English level

Job Responsibility

Develop, test, and deploy data-driven models and solutions to solve business challenges
Apply modern best practices/approaches/frameworks such as RAG, LangGraph, LangChain, or similar tools to build robust LLM-based workflows
Conduct research and prototyping in the area of applied generative AI and advanced data science
Collaborate with cross-functional teams (engineering, product, business) to integrate models into production
Analyze complex datasets and provide actionable insights

What we offer

Ownership – we trust that you will do the right things to deliver maximum impact
Transparency – we say what we think and every voice is heard and respected, even when our opinions differ
Service – whether it’s for our customers or teammates, we always support each other
No bureaucracy, no micromanagement
Flexible working schedule – you plan your working day based on your tasks and meetings
Corporate events and various team buildings
Sigli Academy: Initial Training Programs, How it Works & more

Fulltime

Senior Data Scientist

Join Our Expert Team. We are seeking a skilled Senior Data Scientist to join our...

Location

Austria , Vienna

Salary:

Not provided

Arsenalia

Expiration Date

Until further notice

Requirements

Minimum 3 years of experience as a Data Scientist or in a similar role
Strong skills in programming languages such as Python
Experience in developing and optimizing machine learning models
Knowledge of prompt engineering techniques for natural language models
Ability to analyze large datasets and extract valuable insights
Team-oriented mindset and effective communication with clients
Curiosity and interest in emerging technologies
Good command of English (B2 level)
Flexibility in adapting to new contexts and diverse projects
Availability for short- and medium-term business travel

Job Responsibility

Design and optimize predictive models, machine learning and deep learning algorithms
Collaborate with clients to define needs and deliver data-driven solutions
Implement data-based solutions with Azure Databricks, Microsoft Fabric, and Azure Machine Learning
Contribute to R&D initiatives to advance analytical techniques
Create reports and visualizations to communicate insights effectively
Analyze large datasets to extract valuable information
Use Microsoft tools like SQL Server and Azure SQL Database for data management and analysis
Develop and refine prompts for LLMs/SLMs to enhance AI solution performance
Extract insights from big data using Azure Data Lake and Azure Synapse Analytics
Grow in a dynamic, collaborative environment with skilled and motivated teammates

What we offer

Welfare Package
Worklife Kit
Empowering People
Open Space, Open Mind
Career Path
Learning & Development

Data Scientist

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

Location

United States , Aurora

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. 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
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.
Devise strategies for extracting meaning and value from large datasets.
Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
Employ some combination (2 or more) of the following areas: 1. Foundations (Mathematical, Computational, Statistical) 2. Data Processing (Data management and curation, data description and visualization, workflow and reproducibility) 3. Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations)

Job Responsibility

plan, analyze, design, develop, test, secure, integrate, implement, operate, and maintain the custom solutions that ANS delivers

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

Senior Data Scientist

As part of a dynamic, high-level team, you will work jointly on R&D and customer...

Location

France , Paris

Salary:

Not provided

Artelys

Expiration Date

Until further notice

Requirements

Engineering degree, master's degree and/or PhD with a specialisation in applied statistics
First experience of at least 3 years in the design, implementation and deployment of advanced artificial intelligence methods
Advanced level of knowledge in at least one of the following fields: Time series modelling and forecasting, Machine Learning/Deep Learning techniques, Automatic Language Processing (NLP)
Experienced developer in Python and/or R
Understanding of business context
Autonomous, rigorous and a strong team player

Job Responsibility

Extract, structure and explore raw data sets
Implement visualisation techniques
Apply consolidation methods
Determine and build the learning environment
Implement and test a wide range of modelling solutions
Participate in the industrialisation of artificial intelligence models

What we offer

Flexible working hours
Offices located in the city center

Fulltime

Senior Data Scientist

Location

Salary:

Not provided

PixelPlex

Expiration Date

Until further notice

Requirements

Strong analytical and problem-solving skills
Data focused applied mathematics (statistical analysis, machine learning)
Understanding of Machine Learning / Deep Learning methodologies, math and tricks
Understanding of data structures and algorithms
RDBMS knowledge
Programming experience: Python and C++ preferred
Experience in production of Data Science projects (3+ years)
Data visualization skills
Advanced Linux user
Familiarity with version control systems (Git, etc.)

Job Responsibility

Identifying business challenges
Using machine learning / deep learning methodologies to address business challenges
Presenting the findings in a clear and informative way
Working in a team and creating solutions to real-life problems
Mentoring junior and middle-level specialists

Fulltime

Data Scientist

Inetum is a European leader in digital services. Inetum’s team of 28,000 consult...

Location

Portugal , Lisbon

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field
3+ years of hands-on experience in machine learning and AI development
Strong expertise in Generative AI (model training, fine-tuning, and deployment)
Experience with open-source and commercial LLMs
Proficiency in implementing RAG techniques
Experience with vector databases
Advanced programming skills in Python with frameworks like TensorFlow, PyTorch, and Hugging Face
Deep understanding of NLP techniques and architectures
Practical experience with traditional AI/ML methods such as decision trees, SVMs, clustering and neural networks
Familiarity with cloud platforms (AWS, GCP, or Azure) for AI/ML deployments

Job Responsibility

Create machine learning models and tailored AI solutions
Fine-tune and extend Large Language Models (LLMs) including open-source and commercial models
Implement Retrieval-Augmented Generation (RAG) techniques for enhanced model efficiency
Perform exploratory data analysis and feature engineering to unlock better model performance
Develop Generative AI models for content creation, process automation, and innovation
Utilize decision trees, SVMs, neural networks, and more to solve diverse problems
Work alongside data engineers, product managers, and stakeholders
Ensure high-quality AI solutions through rigorous testing and validation
Maintain technical documentation for knowledge sharing and reproducibility.

Fulltime

Cryptologic Computer Scientist 3

We are searching for a Cryptologic Computer Scientist to design, develop, delive...

Location

United States , Central Maryland

Salary:

164000.00 - 214000.00 USD / Year

RealmOne

Expiration Date

Until further notice

Requirements

Doctoral degree plus 4 years of relevant experience
Master’s degree with 6 years of relevant experience
Bachelor’s Degree with 8 years of relevant experience
Associates degree with 10 years of relevant experience
Degree must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field with at least one programming and at least 4 upper-level math classes (Calculus and above)
Relevant experience must be in a computer science area (i.e. theoretical or applied), simulation/model development, designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g. algorithm or development) computation science, algorithm analysis and design, reverse engineering, and/or designing/developing computer and information systems, including engineering hardware and/or software
Strong Python, Spark/PySpark skills
Strong Network and Protocol Analysis background
Familiarity with customer tools
Position requires active Security Clearance with appropriate Polygraph

Job Responsibility

Design, develop, deliver, and operate solutions to hard cryptologic computer science problems within a scientific framework
The solutions may arise in the forms of forensics and attack attribution, protection of critical networks, active systems warnings and indicators, active penetration into target systems, knowledge discovery of passive and active systems, or other cryptologic computer science mission support
Requisite computer science skills (operating systems, compiler theory, database theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structures are applied to each problem to provide state of the art techniques, tools, and approaches)
Hybrid computer scientist/cyber threat analyst, specifically using Python, Spark/PySpark

What we offer

Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums
Tax-advantaged health savings account available with generous employer contribution
Dental + Vision: 100% employer-paid for employees and family, with a buy-up option available
401K – 10% TOTAL CONTRIBUTION – 5% safe harbor – 5% annual profit share (both immediately vested!)
4 weeks starting PTO – 11 federal holidays + 2 floating holidays – Paid hours for company-required training
Access to FREE 24/7 learning via Udemy
Opportunities to participate in tech councils, industry initiatives, etc.
$7,500 annual Educational & Professional Development Assistance
Paid parental leave
Annual swag drops

Fulltime

Data Scientist

The WW DSP Analytics team is a centralized analytics organization within Amazon'...

Location

India , Hyderabad

Salary:

Not provided

Amazon

Expiration Date

Until further notice

Requirements

2+ years of data scientist experience
3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
1+ years of guiding and coaching a group of researchers experience
1+ years of working with or evaluating AI systems experience
1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
Experience applying theoretical models in an applied environment

Job Responsibility

Develop Science Solutions for DSP Performance: Design and implement data science solutions to optimize Delivery Service Partner (DSP) operations, capacity planning, and performance measurement across the global DSP network
Apply Advanced Machine Learning Techniques: Leverage solid research experience in Machine Learning and statistical modeling to identify opportunities for improving DSP analytics, forecasting models, and performance measurement systems
Optimize DSP Program Policies and Sentiment Risks: Analyze sentiment risks and enhance existing algorithms that support DSP program management, including scorecard metrics, capacity reliability models, and performance evaluation frameworks
Analyze Business Requirements with Return on Investment (ROI) calculation: Demonstrate superior logical thinking by quickly approaching large, ambiguous problems, translating high-level DSP program requirements into mathematical models, and applying models to predict the return on investment.
Build Production-Scale Analytics: Contribute to the development and deployment of scalable data models, dashboards, and automated reporting systems that enable self-service analytics for DSP stakeholders
Accelerate GenAI footprint: Partner with Data Engineers to expand our GenAI tools and improve developer productivity along with raising the bar on data quality.
Conduct Independent Data Analysis: Mine and analyze complex datasets across multiple domains (performance metrics, financial data, operational data) using programming and statistical analysis tools to generate actionable insights
Thrive in a Collaborative Environment: Excel in a fast-paced analytics organization that encourages collaborative and creative problem-solving, measure and communicate analytical risks, constructively critique peer work, and align research focuses with DSP program strategic needs
Partner Cross-Functionally: Work closely with Business Intelligence Engineers, program teams, and DSP stakeholders to define KPIs, validate analytical approaches, and ensure insights drive meaningful business outcomes

Data Scientist - Level 3

Applied Network Solutions

Location:
United States , Aurora

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 19, 2026

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