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senior machine learning scientist

expert applied scientist

TomTom

<div><p>We are looking for an Expert Applied Scientist to join the Speeds VS team, leading end‑to‑end machine learning and data-driven initiatives that improve the quality, scalability, and automation of speed limit data and map consistency.</p><div><br>
</div>
<h3 class="jobSectionHeader"><b>What You'll Do</b></h3><div>
<ul><li>Design and deploy ML and data-driven solutions to detect, validate, and reduce map quality issues (e.g. data drift, feature distribution shifts across countries, road classes, and sources).</li>
<li>Define and drive data analysis and model evaluation standards, including advanced and segmented performance metrics.</li>
<li>Lead the productionization of models and data pipelines, working closely with engineers and data engineers, including pipeline optimization.</li>
<li>Build and improve end-to-end automated workflows (from issue detection to resolution and closure), minimizing manual processes.</li>
<li>Perform code reviews and optimization, ensuring high-quality, production-ready solutions.</li>
<li>Mentor and guide less experienced scientists; contribute to planning and coordination of data science initiatives.</li>
</ul></div><h3 class="jobSectionHeader"><b>What You'll Need</b></h3><div>
<ul><li>4+ years of experience in data science / applied science roles (Senior level).</li>
<li>Strong expertise in machine learning (supervised, unsupervised, and dimensionality reduction techniques) and model selection.</li>
<li>Excellent Python skills and experience with large-scale data processing (e.g. Spark, big data environments).</li>
<li>Proven experience in building and deploying data pipelines and ML solutions in production.</li>
<li>Strong communication skills and ability to explain complex concepts to both technical and non-technical stakeholders.</li>
</ul></div><h3 class="jobSectionHeader"><b>What's Nice to Have</b></h3><div>
<ul><li>Experience with geospatial or road network data.</li>
<li>Experience with ML experimentation and monitoring tools (e.g. MLflow, Databricks).</li>
<li>Experience in Java and related technologies</li>
</ul></div><div><b>What we offer<br>
</b></div><div></div><br>
<div>A competitive compensation package, of course.</div><div></div><div><br>
Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O&rsquo;Reilly and LinkedIn Learning.</div><div></div><div><br>
Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.<br>
</div><div></div><br>
<div>Work flexibility, where TomTom&rsquo;ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize. It&rsquo;s all about getting the best out of both worlds &ndash; we ask TomTom&rsquo;ers to come to the office two days a week, and the remaining three are free to be worked in either location.</div><div></div><div><br>
Improve your home office with a setup budget and get extra support with a monthly allowance.</div><div></div><div><br>
Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we&rsquo;re mapping.</div><div></div><div><br>
Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.</div><div></div><div><br>
Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world.</div><div></div><div><br>
Become a part of our inclusive global culture and have the chance to collaborate with a diverse community &ndash; we have over 80 nationalities at TomTom!</div><div></div><div><br>
Find out more about our global benefits and enjoy additional local benefits tailored to your location.</div><div></div><div><b><br>
Meet your team</b></div><div></div><div><br>
We&rsquo;re Maps, a global team within TomTom&rsquo;s Location Technology Products technical unit. Our team is driven to deliver the most up-to-date, accurate and detailed maps for hundreds of millions of users around the world. Joining our team, you&rsquo;ll continuously innovate our mapmaking processes, directly contributing to our vision: engineering the world's most trusted and useful map.</div><div></div><div><b><br>
At TomTom...</b></div><div></div><div><br>
You&rsquo;ll help people find their way in the world. In 2004, TomTom revolutionized how the world moves with the introduction of the first portable navigation device. Now, we intend to do it again by engineering the first-ever real-time map, the smartest and most useful map on the planet.</div><div></div><div><br>
Work with a team of 3,300+ unique, curious and passionate problem-solvers. Together, we&rsquo;ll open up a world of possibilities for car manufacturers, enterprises and developers to help people understand and get closer to the world around them.</div><div></div><div><b><br>
After you apply</b></div><div></div><div><br>
Our recruitment team will work hard to give you a meaningful experience throughout your journey with us, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews all the way through onboarding. To find out more about our application process, check out our hiring FAQs.</div><div></div><div><b><br>
TomTom is an equal opportunity employer</b></div><div></div><div><br>
TomTom is where you can find your place in the world. Every day we welcome, nurture and celebrate differences. Why? Because your uniqueness is what makes you, <i>you</i>. No matter your culture or background, you&rsquo;ll find your impact at TomTom. Research also shows that sometimes women and underrepresented communities can be hesitant to apply for positions unless they believe they meet 100% of the criteria. If you can relate to this, please know that we&rsquo;d love to hear from you.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Expert Applied Scientist

Senior Data Scientist – Experimentation & Statistical Innovation Platform

Dentsu

<p></p><div><p><b>Job Description:</b></p><p>
Wil jij als Data Scientist werken aan marketingvraagstukken met data en AI? Ben jij op zoek naar een plek waar je modellen bouwt die niet in een rapport verdwijnen, maar direct impact maken bij klanten? Dan pas je perfect bij het Data Science team van dentsu.</p><p></p><p><b>
Over ons</b></p><p>
dentsu is een internationaal media- en marketingbureau dat merken helpt groeien via strategie, media-inkoop, data en technologie. Bij dentsu streven we naar een veilige werkplek met als doel gelijke kansen en behandeling voor iedereen. Bij ons moet iedereen zich welkom en veilig voelen om te zijn wie je bent en waar iedereen zich kan uiten.</p><p></p><p><b>
De rol</b></p><p>
Als Data Scientist werk je binnen het Marketing Intelligence team: een groep analytisch sterke collega&rsquo;s die data vertalen naar concrete marketingbeslissingen.</p><p>
Je werkt aan vraagstukken zoals:</p><ul><li>
Marketing Mix Modelling;</li><li>
Attribution en klantgedrag;</li><li>
Churn en Customer Segmentation;</li><li>
Predictive Analytics.</li></ul><p>
Je rol gaat verder dan alleen modellen bouwen. Je vertaalt en presenteert de analyses op een heldere manier aan klanten, zodat zij betere datagedreven beslissingen kunnen nemen. Verder werk je mee aan AI-gedreven toepassingen, zoals tools die inzichten toegankelijk maken, handmatige processen automatiseren en de stap van data naar beslissing versnellen.</p><p></p><p><b>
Dit breng je mee</b></p><ul><li>
Afgeronde master in een kwantitatieve richting (bijvoorbeeld Econometrics, Mathematics, Statistics of Computer Science);</li><li>
Relevante werkervaring als Data Scientist;</li><li>
Ervaring met Python;</li><li>
Sterke analytische vaardigheden;</li><li>
Interesse in het bouwen en implementeren van AI‑oplossingen (zoals LLM&rsquo;s, RAG of agents);</li><li>
Goede communicatievaardigheden;</li><li>
Goede beheersing van Nederlands en Engels.</li></ul><p></p><p><b>
Nice to have</b></p><ul><li>
Ervaring met cloud platforms (GCP, Azure of AWS);</li><li>
Kennis van Bayesian modelling.</li></ul><p></p><p><b>
Wat je krijgt</b></p><ul><li>
Snelle ontwikkeling in data, AI en marketing;</li><li>
Goede arbeidsvoorwaarden en salaris;</li><li>
Werken voor grote en diverse klanten zoals Ahold, Heineken en Netflix;</li><li>
Veel ruimte voor eigen initiatief en idee&euml;n;</li><li>
Intensieve samenwerking met een slim en gedreven team;</li><li>
Internationale werkomgeving met een groot kennisnetwerk.</li></ul><p></p><p>
En niet onbelangrijk: een fijne werksfeer met ruimte voor gezelligheid.</p><p></p><p><b>
Interesse?</b></p><p>
Lijkt dit je interessant? Solliciteer vooral, ook als je nog niet aan alle punten voldoet. We kijken vooral naar potentie en motivatie.</p><p></p><p>
#LI-CK1</p><p>
#LI-Hybrid</p><p></p><p><b>
Location:</b></p>
Amsterdam<p></p><p><b>
Brand:</b></p>
Dentsu Media<p></p><p><b>
Time Type:</b></p>
Full time<p></p><p><b>
Contract Type:</b></p>
Fixed Term Contract (Fixed Term)</div>

Data Scientist

Solid Professionals

<div>
 <p>
  <strong>
   Introduction
  </strong>
 </p>
 <p>
  As a GenAI Data Scientist, you will develop and implement AI solutions that help organizations improve decision-making, operational efficiency, and risk management. You will work in complex corporate environments where business, data, and technology come together to solve challenging problems. In this role, the focus is on creating Generative AI solutions that deliver measurable business value within highly regulated environments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your role
  </strong>
 </p>
 <p>
  As a GenAI Data Scientist, you will be responsible for designing, developing, and implementing Generative AI solutions that support complex business processes. You will translate business challenges into practical AI applications and contribute throughout the entire lifecycle, from identifying opportunities and preparing data to building, testing, and deploying solutions into production.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You will work extensively with unstructured data and Large Language Models (LLMs). This involves evaluating different models, architectures, and implementation approaches to determine the most suitable solution for a given use case. Topics such as Retrieval Augmented Generation (RAG), Natural Language Processing (NLP), agentic workflows, and AI evaluation frameworks will be central to your work.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Within multidisciplinary teams, you will collaborate closely with business stakeholders, data professionals, and IT specialists. Depending on your experience level, you may focus on developing specific AI solutions or take a leading role in shaping architecture decisions, best practices, and the broader AI roadmap. The emphasis is on building solutions that move beyond experimentation and deliver real impact in production environments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we are looking for
  </strong>
 </p>
 <ul>
  <li>
   A completed Master's degree or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field
  </li>
  <li>
   At least 3 years of relevant experience as a Data Scientist
  </li>
  <li>
   Strong experience with Python and the development of machine learning and AI solutions
  </li>
  <li>
   Experience with Generative AI, Large Language Models (LLMs), and GenAI use cases
  </li>
  <li>
   Knowledge of frameworks and concepts such as RAG, NLP, LangChain, DSPy, agents, or similar technologies
  </li>
  <li>
   Experience working with and transforming unstructured data
  </li>
  <li>
   Experience with cloud platforms, preferably Azure
  </li>
  <li>
   Knowledge of Git, data engineering concepts, and IT architecture
  </li>
  <li>
   Experience working in Agile environments and multidisciplinary teams
  </li>
  <li>
   Experience within financial services, FEC, KYC, CDD, or AML
  </li>
  <li>
   Strong English communication skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits
  </strong>
 </p>
 <p>
  Through Solid Professionals, you will work on one substantive assignment with one client at a time. You will be employed by us for the duration of that assignment. This provides focus and clarity, with a single assignment and an employment contract aligned to the duration of the engagement.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you can expect
  </strong>
 </p>
 <ul>
  <li>
   A competitive salary aligned with your experience
  </li>
  <li>
   Challenging assignments within complex financial environments
  </li>
  <li>
   Opportunities for professional growth and specialization
  </li>
  <li>
   About Solid Professionals
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Solid Professionals connects finance, risk, data, and IT professionals with organizations where quality and expertise are central. We combine strong assignments with personal guidance and actively support you in taking the next step in your career.
 </p>
</div>


Data Scientist GenAI

Booking.com

<div>Role Description:
<h2 class="jobSectionHeader"><b>About Us</b></h2><p>
At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we make it easier for everyone to experience the world.</p><h2 class="jobSectionHeader"><b>
About the team</b></h2><p>
This opening is for the ABU ML team within Margin Management of the Accommodation Business Unit (ABU).</p><p>
The ABU ML team develops causal machine learning systems that power one of Booking.com&rsquo;s biggest customer acquisition channels. We predict which promotional investments will drive genuinely incremental demand and deploy these models in production at scale. The work involves uplift modeling, causal inference under marketplace interference, neural network design for structured data, and rigorous online experimentation.</p><p>
The team actively contributes to the research community, our recent work &ldquo;Converted Data is All You Need for Causal Optimization of e-Commerce Promotions&rdquo; was published at ACM CIKM 2025. We encourage publishing and conference participation when the work advances the state of the art.</p><h2 class="jobSectionHeader"><b>
Role Description</b></h2><p>
As a Senior Machine Learning Scientist, you will design, build, and deploy uplift models and causal inference systems that allocate promotional spend across Booking.com&rsquo;s accommodation marketplace. The role combines causal methodology, neural network architecture design, and production ML &mdash; with your work validated through large-scale A/B experiments. There are opportunities to publish applied research at top venues when the work contributes novel methodology.</p><h2 class="jobSectionHeader"><b>
Key Job Responsibilities and Duties:</b></h2><ul><li><p>
Design and deploy uplift models that estimate heterogeneous treatment effects, optimising incremental return on investment under budget constraints.</p></li><li><p>
Design and execute causal inference methodologies; including observational debiasing (IPW, doubly robust estimation), sensitivity analysis, and interference-aware evaluation to close the gap between offline metrics and online impact.</p></li><li><p>
Advance the team&rsquo;s neural network architectures for uplift modeling on tabular data (attention mechanisms, multi-head designs, self-supervised pretraining), balancing model expressiveness with production latency requirements.</p></li><li><p>
Research marketplace interference and cannibalization; building frameworks to measure and correct for demand shifting when partial treatment is applied across competing properties.</p></li><li><p>
Develop offline evaluation methods that reliably predict online performance, accounting for biases introduced by non-stationary treatment policies and interference effects.</p></li><li><p>
Own models end-to-end; from research through A/B experimentation to production calibration.</p></li><li><p>
Collaborate cross-functionally with ML engineers on pipeline and serving design, with data scientists on feature engineering, and with product and business stakeholders on spend strategy and ROI trade-offs.</p></li><li><p>
Actively coach and mentor less experienced team members, setting technical direction and providing guidance on causal modeling best practices.</p></li></ul><h2 class="jobSectionHeader"><b>
Qualifications &amp; Skills:</b></h2><ul><li><p>
MSc or PhD (or equivalent experience) in a quantitative field such as Computer Science, Statistics, Economics, Econometrics, Operations Research, Mathematics, or Physics.</p></li><li><p>
Relevant professional or academic experience applying Machine Learning to business problems (typically MSc + 4 years, or PhD + 2 years).</p></li><li><p>
Advanced knowledge and experience in Causal Inference, Uplift Modeling, or Treatment Effect Estimation. Experience with heterogeneous treatment effects, interference / spillover effects, or policy learning is highly valued.</p></li><li><p>
Proven track record designing and executing end-to-end R&amp;D plans, and generating measurable impact through large-scale ML model development. Evidence such as peer-reviewed publications, patents, or open-source contributions is a plus.</p></li><li><p>
Strong proficiency in Python and modern ML frameworks (e.g., TensorFlow, PyTorch, LightGBM, XGBoost).</p></li><li><p>
Solid understanding of experimental design, A/B testing, and statistical methodology &mdash; including awareness of SUTVA violations, selection bias, and observational study limitations.</p></li><li><p>
Experience working with large-scale data systems and production ML pipelines (Spark, Airflow, or similar).</p></li><li><p>
Experience with neural network design for structured/tabular data (embeddings, attention, multi-task architectures) is a strong plus.</p></li><li><p>
Experience collaborating cross-functionally with developers, analysts, product managers, and other scientists to deliver ML-powered products.</p></li><li><p>
Excellent English communication skills, both written and verbal. Ability to communicate complex causal reasoning clearly to both technical and non-technical audiences.</p></li><li><p>
Successfully driving technical initiatives and cross-team collaboration while communicating with stakeholders at all levels.</p></li></ul><p></p><p><b><br>
Benefits &amp; Perks - Global Impact, Personal Relevance:</b></p><p>
Booking.com&rsquo;s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:</p><ul><li><p>
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave</p></li><li><p>
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)</p></li><li><p>
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit</p></li></ul><p></p><p><b><br>
Inclusion at Booking.com:</b></p><p>
Inclusion has been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.</p><p></p><p><br>
Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;</p><p></p><p><br>
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.</p><p></p><p><b><br>
Application Process:</b></p><ul><li><p>
Let&rsquo;s go places together: How we Hire</p></li><li><p><b>
This role does not come with relocation assistance.</b></p></li></ul><p>
Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.</p></div>

Senior Machine Learning Scientist - ABU

Invest-NL N.V.

<div><p>We believe the Netherlands needs to become more sustainable and innovative. Fortunately, there are many entrepreneurs with strong plans for the future. Invest-NL exists to finance and support them. We do this with courage, decisiveness, and enthusiasm. Will you join us?</p><p>
For the Invest-NL data team, we are looking for a working student who will help our data scientist for advanced analytics projects, and our development team for building our data platform, which will be the single source of truth for reporting and BI.</p><p>
The data team is still growing and currently consists of six team members including a teamlead, a data scientist, a data engineer, a BI analyst, a PowerBI developer, and a working student.
</p><p></p><p><b>This is what you will do</b></p><p>
As a working student in the data team, you will be directly involved in data analytics and product development projects, under the supervision of our data scientist and data engineer. The responsibilities include:</p><ul><li>
Assist in the design, implementation and validation of data analytics projects for business stakeholders;</li><li>
Helping with the development of the internal data platform and infrastructure;</li><li>
Collaborate with other colleagues (such as business developers or investment managers) and external parties (such as industry experts) to better understand their requirements.</li></ul><p><b><br>
Qualifications</b></p><ul><li>
Strong foundation in data science concepts;</li><li>
Experience with Python programming;</li><li>
Hands on experience with LLM API/MCPs;</li><li>
Strong communication skills, with the ability to explain complex technical concepts to non-technical colleagues;</li><li>
Strong foundation in data engineering, including SQL, ELT, ETL concepts;</li><li>
Experience with Databricks &amp; GitHub, experience with Streamlit is a plus;</li><li>
Basics in data modelling understanding.</li><li>
Basic understanding of cloud concepts (Azure/AWS/GCP);</li><li>
Ability to work collaboratively in a scrum team environment;</li><li>
Previous experience with project work or internships related to data science or engineering is a plus;</li><li>
Fluent in spoken and written English. (Dutch is a plus).</li></ul><p></p><p><b>
We offer</b></p><p>
As a Working Student within the Data team at Invest-NL, you will work together with a passionate team on building a better future. You can count on a pleasant and open working environment, inspiring work, and plenty of room to develop yourself. Our employment conditions are also attractive:</p><ul><li><b>
Salary</b>: &euro;2,400 per month based on a 36-hour workweek;</li><li><b>
Flexible compensation</b>: A Benefit Budget worth 20.95% of your monthly salary. This consists of 8% holiday allowance, 8.33% year-end bonus, and a personal budget of 4.615% representing above-statutory leave (86.4 hours per year based on a 36-hour workweek);</li><li><b>
Leave:</b> Attractive and flexible leave arrangements;</li><li><b>
From A to Sustainable</b>: Sustainable mobility policy, including private use of public transport;</li><li><b>
For the future</b>: A solid pension plan (including a 2% personal contribution and a high employer contribution, depending on age, ranging from approximately 15% to 35%);</li><li><b>
Room for social impact:</b> Up to 2 Impact Days per year for volunteer work during working hours;</li><li>
And although not an employment condition, certainly just as important: driven colleagues to work with. Shared lunches twice a week, fun outings, and sporting activities (such as Cycling 4 Climate and padel tournaments).</li></ul><p><b>
Are you the one we&rsquo;re looking for?</b></p><p>
We would love to receive your application before July 6, 2026! Do you have any questions? Please contact Lucas Erkens at (lucas.erkens@invest-nl.nl). Our selection process consists of two interview rounds. You will receive a response within two weeks after the closing date. We reserve the right to close the vacancy earlier as soon as enough suitable applications have been received.</p><p>
Invest-NL aims to be an attractive employer for diverse talent that wants to make a difference. We foster a team where you can be yourself, where everyone has equal opportunities, and where people can reach their full potential, regardless of gender, background, age, disability, religion, or sexual orientation. Diverse perspectives and backgrounds make us stronger. This helps us stay connected to society and strengthens our collective thinking power.</p><p>
Screening is part of the application process and will take place after agreement on employment conditions has been reached.</p></div><p></p>

Working Student Data (24-hours)

<div><b>Company Description</b><p><br>
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.</p><b><br>
Job Description</b><p><b><br>
What you will do</b><br>
As an expert in the field of Machine Learning Engineering you will be responsible for the growth of our Data team, both professionally as well as in size. You will be in charge of shaping and executing the future of your expertise within Sia. You will work on client projects as well as on building our own Sia AI solutions, together with our Dutch team of Data Scientists, our French Data Engineering team, and other business units of Sia Global.</p><p>
Your responsibilities include:</p><ul><li>
Leading an internal team towards the development of AI products;</li><li>
Working in a multidisciplinary team on client projects as an expert on your subject;</li><li>
Making architectural and design decisions for cloud environments;</li><li>
Building production level ML/AI solutions with solid software engineering;</li><li>
Guiding Data Scientists to scale up their models into production (parallelizing, optimizing, tuning, testing, and wrapping);</li><li>
Giving trainings, leading internal meetings and organizing external events;</li><li>
Participating in team meetings and workshops with clients;</li><li>
Writing blog articles, presenting at conferences and sending out press releases on the subject that you lead.</li></ul><p><b>
Who you will work with</b><br>
The Data Science team is young, diverse and growing (10+). You will join a team that will challenge you and invest in your professional development. We have a flat structure and rely on the entrepreneurial spirit of our members: initiative is highly encouraged. We are striving for well-being, diversity and knowledge-sharing inside the team, so that we can grow together.</p><p><b>
Who you are</b></p><ul><li>
You are an established technical professional that wants to make the next step in their career, taking on more leadership responsibilities.</li><li>
You have first-rate project management and time management skills.</li><li>
You are a true problem solver, you turn complex issues into simple and impactful business solutions.</li><li>
You are enthusiastic for applying Data Science/Engineering solutions to business problems.</li><li>
You have excellent communication skills and can present complicated concepts in a synthetic way.</li><li>
You have the ability to adapt rapidly and work on a range of different business areas within a challenging environment.</li><li>
You have the ability to work collaboratively in a team environment.</li></ul><p><b>
In return, you can expect:</b></p><ul><li>
An international company that gives importance to diversity, inclusion, employee well-being and corporate social responsibilities actions.</li><li>
A great working atmosphere with friendly and professional colleagues where innovation and entrepreneurship are encouraged</li><li>
A personal development plan with a regular follow-up as well training opportunities to develop yourself</li><li>
A competitive salary with great advantages, like mobility budget, hospital insurance, performance -related bonus,...</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study.</li><li>
2-4 years of experience in building production-quality ML/Deep Learning pipelines and models.</li><li>
Good understanding of Machine Learning fundamentals and strong knowledge in a specific domain (e.g., Computer Vision, Deep Learning, NLP).</li><li>
Expert coding skills in Python and at least one of these languages: Scala, C++, Java.</li><li>
Hands-on experience with database management languages (e.g., SQL, PostgreSQL).</li><li>
Hands-on experience in cloud-based infrastructures (AWS/GCP/Azure).</li><li>
Hands-on experience with Unix-based command line and DevOps tools (Git, Docker, Kubernetes).</li><li>
Hands-on experience with big data technologies (e.g. Spark, Hadoop, Databricks).</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
Experience with coaching/mentoring other engineers.</li><li>
Prior experience in Management Consulting is a strong plus.</li><li>
Willingness to travel and work at local and international clients.</li><li>
Fluency in spoken and written English and Dutch is required.</li></ul><br>
<b>
Additional Information</b><p><br>
We are unable to provide a work permit for this position</p><p>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</p><div></div><p>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</p></div>

Machine learning Engineer

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