Engineering Manager - Data Science

at  Xeneta

As an Engineering Manager - Data Science, you will lead a team building high-impact data products and algorithms to supercharge our understanding of our data, improve data quality and data ingestion, and answer questions we did not know existed. This will enable trust and transparency, automation, intelligence-based decision-making, and an overall data-driven culture across the entire value chain.
Location: Oslo

What you will be doing

• Lead and mentor a team of data scientists, fostering a culture of innovation and continuous learning.
• Collaborate with cross-functional teams, including product managers, engineers, and business leaders, to define data requirements and deliver solutions that align with Xeneta’s strategic objectives.
• Design and implement advanced statistical models and machine learning algorithms to analyze large datasets and generate actionable insights.
• Stay ahead of emerging technologies and techniques in data science and machine learning, advocating for their adoption where appropriate.
• Communicate complex analytical results and technical projects to non-technical stakeholders, influencing decision-making at all levels of the company.
• You will be developing and deploying your own data pipelines with feature engineering, model training, and everything else you might need.
• You will perform complex data analysis and reports, communicate insights tailored to different audiences, and make recommendations based on your findings that contribute to company strategic decisions.
• You will contribute to our data-driven culture and community by sharing your vision, knowledge and expertise with the team and with the company.

Skills, Knowledge & Expertise

Your profile

• You are a team player, and you enjoy learning and improving the team around you and yourself
• You have exceptional leadership and communication skills, with experience managing high-performing teams
• You have a strong analytical and problem-solving mindset, curiosity, and daring when venturing into unknown territory
• You have an interest in both building things and extracting insights from data using scientific methods
• You are able to communicate and empathize when trying to understand the problems, needs, and desires of stakeholders
• You know when to use ML and when not to use ML
• You can spot biases in data from a mile away
• You have a keen eye for detail
• You have a get-things-done attitude

Your experience

• 5+ years of experience in Data Science, Machine Learning, or a related role, with a proven track record of leveraging data to drive significant business impact
• A Master’s degree or higher within a technical/engineering field or quantitative field, like Computer Science, Physics, Economics, Statistics, Mathematics, or a related field
• Experience in leading high-performing teams
• Experience with SQL and Python
• Experience with cloud computing services (AWS, Azure, GCP)
• Fluent in English, oral and written

Not sure whether you’re the perfect fit? Give it a try regardless - we love to hear from interesting people! Be sure to give us an idea of who you are as a person — Not just your professional experience.

Nice to have

• Formal leadership or management training, certifications, or courses
• Experience with analyzing pricing data
• Prior experience in shipping or a related industry
• Experience with data engineering tasks, including data warehousing, ETL processes, and optimization of data pipelines
• Experience building ML pipelines
• Experience with Terraform

What we offer

• We will help you grow your career: We help you identify areas of growth for you, whether you want to grow as a specialist in your field
• or eventually want to go into a leadership/management role.
• We have a transparent and open work environment where everyone is empowered to make an impact and encouraged to voice their ideas.
• Keeping true to our value, “Xeneta is one,” we regularly organize social events, including global company trips, breakfast gatherings, Friday after-work-socials, and weekly quizzes.
• You will enjoy our generous vacation plan: 5-10 extra paid days off around public holidays throughout the year and 5 weeks of paid vacation.
• You will receive an individual education budget and can educate yourself during work hours: you can spend several hours each
• month attending courses, reading books, or getting involved in communities.
• We value work-life balance and want to make sure you can spend quality time with your family or enjoy your hobbies when your workday is over.
• We will help you relocate to Oslo if you are applying from abroad. We will provide you with a temporary apartment and reimburse your expenses for the relocation flight, permit and visa fees.
• We have flexible working hours (core time with meetings is 10:00 to 15:00, the rest is up to you), and you can work remotely for extended periods when needed.

Xeneta is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Looking forward to hearing from you!
About Xeneta
At Xeneta, we have been on a mission to transform the ocean and air freight markets since 2012. We are doing this by building a data platform that provides intelligence to the very opaque industry of buying and selling containerized freight. Now, Xeneta is the leading freight rate benchmarking and market analytics platform—creating transparency and empowering our customers to make data-driven decisions.
Our customers include big brands such as Kuehne+Nagel, Coca-Cola Company, Unilever, Pfizer, Flexport, L’Oreál, Nestlé, and Volvo.
Headquartered in Oslo, with offices in Hamburg and Jersey City and employees from over 60 different countries, we are a truly international company that celebrates diversity. We’re growing at a fast pace, helped in part by our latest investment round where APAX Digital invested $80M, and we are continuously searching for top talent and partners to join us on our mission.

What you will be doing

• Lead and mentor a team of data scientists, fostering a culture of innovation and continuous learning.
• Collaborate with cross-functional teams, including product managers, engineers, and business leaders, to define data requirements and deliver solutions that align with Xeneta’s strategic objectives.
• Design and implement advanced statistical models and machine learning algorithms to analyze large datasets and generate actionable insights.
• Stay ahead of emerging technologies and techniques in data science and machine learning, advocating for their adoption where appropriate.
• Communicate complex analytical results and technical projects to non-technical stakeholders, influencing decision-making at all levels of the company.
• You will be developing and deploying your own data pipelines with feature engineering, model training, and everything else you might need.
• You will perform complex data analysis and reports, communicate insights tailored to different audiences, and make recommendations based on your findings that contribute to company strategic decisions.
• You will contribute to our data-driven culture and community by sharing your vision, knowledge and expertise with the team and with the company