About Tradeshift
Tradeshift is a unicorn in the fintech industry. We are disrupting a typically stagnant environment by connecting companies of all sizes and providing them with the platform and network needed to create value from old processes like procurement, invoicing, payments, and workflow. We recognize that business is both messy and social - two revelations that have driven the development of Tradeshift, a platform for all your business interactions.

Would you be excited to lead our growing data team? Tradeshift is in the process of pivoting to be a data company and this role will play a huge role in this transformation. If you’re at the point in your career, where you’re looking for your next big challenge, this is your opportunity. 

Tradeshift is looking for a Director of Data and ML - who will be responsible for leading our Data Engineering and ML functions, reporting up to the VP, Data. You are an experienced technology and people leader who’s had hand-on experience in leading organizations through leapfrog transformations. Our data and ML teams are spread across multiple geographies and you will be comfortable working in a distributed team structure. You will be mentoring and growing this team to enable the company to reach greater maturity levels. You will partner with the product team, the analytics team and business partners to help craft the roadmap and execute the strategy to meet the company.

What you will be doing:

• Leading the data engineering and ML functions in Engineering. 

• Assemble large, complex data sets that meet functional / non-functional business requirements, while keeping security, privacy and compliance at the forefront of design decisions.

• Identify, design, architect and implement internal process improvements: automating processes, optimizing data delivery, re-designing infrastructure, re-engineer ML models - to optimize for scalability, simplicity and speed.

• Partner with the Ops team and recommend / implement  the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies

• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

• Work with stakeholders including the Executive, Sales, Product, Data and Design teams to assist with data-related technical issues and plan and direct resource to support their data needs

• Work with data and analytics experts to strive for greater functionality in our data systems.

About you:

• Graduate degree in Computer Science, Informatics or relevant experience

• 8-10+ years of experience in leading Data Engineering / ML teams - from a technology, people and process perspective.

• Expert experience with AWS cloud services like EC2, EMR, RDS & Redshift.

• Experience with Machine Learning, statistical inference or similar. Experience building software products based on predictive models. 

• Experience with supporting and working with cross-functional teams in a dynamic environment

• Experience with object-oriented and functional/scripting languages (Preferably in Java, Scala, Python or C++)

• Experience with relational SQL and NoSQL databases

• Experience with building processes supporting data transformation, data structures, metadata, dependency and workload management

• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets

• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores

• Experience with AWS cloud services like EC2, EMR, RDS, Redshift

• It’s a plus if you have worked with:

  • orchestration: Terraform, Kubernetes 

  • big data: Hadoop, Spark, Elasticsearch

  • data pipeline and workflow management tools: Azkaban, Luigi, Airflow

  • stream-processing systems: Kafka, Flink, Spark Streaming

  • analytics tools: Jupyter, Zeppelin, Domo, Tableau, Looker

  • data integration platforms: Mulesoft, Talend

Location
Our office in Copenhagen has a palpable excitement that stems from the constant change that keeps everyone on their toes. Each employee has a voice, and their hard work pays off. No good work goes unnoticed. 

Culture 
Our culture began day one when three Danes poured their heart and soul into creating a platform that could connect every business in the world. We expect each employee to approach their work with the same amount of pride and passion. One day you might find us having a ping pong match in the middle of the work day, and then you’ll find us handing off projects to colleagues in different time zones so we can continue progress around the clock. 

TradeShifters come from various backgrounds and nations, and we all thrive off challenging the status quo. We take pride in nurturing employee happiness, encouraging personal development, and welcoming teammates from all walks of life.

We value diversity and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Why you might like working here:

• You love autonomy and the freedom to get your work done how you want 
• You like sharing your opinions and feeling like they matter
• You want to work for a company that requires you to bring your whole self to work every day: brains, heart, and guts.
• Ambitious international startup
• Career and professional development opportunities
• Large office that provides caters to many different work-environment preferences  
• Flexible work hours
• Mobile phone plan and at home internet
• Lunch and snacks daily with drinks
• A competitive compensation package and equity
• In-house activities like yoga
• Opportunity to join many fun, varied company events like happy hours, hackathons, family holiday parties, and many more.

• Fun team-bonding events such as Team Camps, Hack-a-thons, Game & Field Days,
• Welcome Breakfast, Happy Hours, Birthdays Celebrations and more!