Senior Data Scientist

Zichtbaar werk: You realize the mission and strategy of PostNL with data science solutions that are widely used and appreciated by colleagues within E-commerce.
Uitdaging: You will join a team that is growing in maturity and tackling more complex issues for E-commerce.
Goede sfeer: Collaboration, tackling challenges, and having fun at work are key elements of the positive atmosphere in this team.
Vrijheid: You have the freedom to largely shape your role and working hours.
Verantwoordelijkheid: Je hebt de vrijheid om je functie en werktijden grotendeels zelf in te vullen.
Ontwikkelkansen: There are plenty of opportunities to take courses and grow into other roles or departments within the company.

Pitch
We deliver parcels every day of the week, serving as the indispensable link between senders and recipients. We connect worlds and as Data Scientist you are crucial to enhance the e-commerce delivery experience and directly contribute to the mission of PostNL.

This is your role
We are seeking a Senior Data Scientist to join our Data Science E-commerce team. In this role, you'll contribute to the development of artificial intelligence and machine learning (AI/ML) solutions that directly impact our mission to become everyone’s favorite delivery service. You'll play a key role in enabling data-driven decision making across the E-commerce department contributing directly to our strategy while mentoring data scientists in the team. If you like a challenge, enjoy thinking outside the box, and have a passion for the latest technologies in machine learning and automation, we want to hear from you.

You will thrive at PostNL if you are result-focused and innovative in providing business value through developing and deploying machine learning solutions, but most of all having a strong understanding of all parts of the machine learning lifecycle.

What you will work on:
•    Design and build automated AI/ML solutions for the E-commerce department
•    Ensure high-quality data science solutions through testing, best practices, engineering standards, and lifecycle management
•    Contribute to the advancement of AI/ML at PostNL in our data chapter
•    Achieve impact as a team player, and maintain solid relationships with technical and non-technical stakeholders

Your colleagues
You'll be joining a dynamic and innovative Data Science E-commerce team that thrives on collaboration and shared goals. Our team consists of fantastic data scientists who are not only experts in their fields but also eager to support and learn from one another. We believe in the power of teamwork and foster a culture where your ideas are valued, and your contributions can make a tangible impact on our company strategy. You'll have the opportunity to work alongside people who are as dedicated to advancing data science solutions as they are to building a supportive and inclusive environment. Together, we push the boundaries of what's possible, ensuring that every delivery moment we create brings happiness.

What you will bring
•    3+ years of experience as a Data Scientist or a similar role, with a consistent record of successfully delivering ML solutions
•    Strong programming skills in Python 
•    Experience with data at scale using SQL, Pyspark, Snowflake or similar frameworks
•    Knowledgeable about statistical properties of (good) metrics
•    Experience building libraries/modules in Python
•    Strong understanding of fundamental machine learning concepts
•    Experience with containerizing ML workloads using Docker
•    Knowledge of reporting/visualisation techniques (e.g., Plotly, Tableau, Power BI, Streamlit, etc.)
•    Experience with cloud services in AWS is desirable
•    Familiarity with data science frameworks (e.g. Kedro, Sagemaker, Metaflow)
•    Willingness to dig deep into problems and behind the scenes data to support troubleshooting and bug fixing
•    Experience with API development
•    Good English communication skills

What we offer you
•    A salary between €4.280,00 and €6.062,00 gross per month (scale 10) based on a 37-hour workweek
•    The possibility to work hybrid with flexible working hours. Do you work two or more days a week from home? Then you will receive a €45 net compensation per month
•    8% holiday allowance and 25 vacation days based on a full-time employment
•    Travel allowance for commuting
•    A good pension plan through the PostNL Pension Fund
•    Training and development opportunities through the PostNL Academy
•    Discounts on holidays, events, and products

The interview process for this role entails a total of 3 interviews. We look forward to receiving your application. Are you unsure whether you meet all the conditions, though you are very excited when reading the above? Do not hesitate and apply, we would love to hear from you!