Data Scientist

Company Description

About Tradeshift

Tradeshift is a cloud-based supply chain platform that revolutionizes how B2B buyers and sellers connect, transact, and trade. As a leader in e-invoicing and Accounts Payable automation, we offer solutions for compliant e-invoicing in over 50 countries, including China. We're also an innovator in B2B marketplaces and provide integrated financial services that offer value, opportunity, and growth to any business joining the network. Tradeshift’s vision is to connect every company globally, generating economic opportunities for all. Today, the Tradeshift platform hosts a growing community of buyers and sellers operating in more than 190 countries.

Vision: To connect every company globally, creating economic opportunities for every participant.

Mission: We create technologies that aid companies in their growth by enabling them access to cheaper capital, increased efficiency, and facilitating digital global trade.

Tradeshift fosters B2B commerce across global supply chains. Through technology, we help B2B buyers and sellers grow collectively, ensuring all businesses have the access and tools required to fully harness digital global trade. We’re a leading authority in e-invoicing and Accounts Payable automation, offering full international compliance in over 50 countries, including China. We also pioneer innovation in B2B marketplaces and integrated financial services, offering value, opportunity, and growth to any business that joins the network.

Our technology proposition's core feature is the value we offer to sellers, and our network has been voted as the most reliable by suppliers. Our commitment to creating value for all network participants ensures rapid supplier onboarding and swift achievement of digitization objectives by buyers. We establish an average of 40,000 new seller connections to Tradeshift each month.

Our open platform offers seamless integration with any application required to manage your supplier relationships. Choose a partner capable of delivering across your entire digital transformation journey - Digitize, Automate, Grow.

Tradeshift has grown to over 400 people with offices in 9 countries and a Hybrid, virtual-first working environment. However, our focus remains unwavering. We believe that commerce can unify a fragmented world. We digitize and connect all transactions that occur between buyers and sellers, globally.

We assist businesses to:

• Digitally connect with all their suppliers
• Eradicate paper and manual processes across the procurement-to-payment process
• Purchase their requirements swiftly and manage supplier risk effectively

Products:

• B2B Marketplace Platform for E-Procurement
• Accounts Payable Automation
• Supplier Collaboration & Analytics
• Supplier Financing
• Virtual Credit Cards
• Professional Services

Platform & Network Stats

• The Tradeshift network is nearing 120,000 transacting suppliers and 2.5 million connections
• Buyers are spread across 78 countries, and Sellers are in 97
• Processing approximately 2,000,000 transactions every month
• Over $20 Billion is transacted on the platform each month
• In July 2021, Tradeshift surpassed one trillion dollars in total transaction value across its platform

Job Description

The Data Analytics and Business Intelligence team operates at the intersection of the three verticals that constitute Tradeshift: Pay Automation, Marketplaces, and Small Business. They power every aspect of Tradeshift's business and market approach through data, driving speedy decision-making, innovation, and agility across the organization. Their mission is to empower our customers, partners, and Tradeshift itself to succeed and grow by leveraging superior data and intelligence reporting.

What You’ll Be Doing:

The Data Scientist role within the Global Data and Business Intelligence Team is a standalone role reporting directly to the Manager, Analytics, and Business Intelligence. This role will support all data processing and analytics requirements for the organization. As a key link between the business and the technical data layer, this role will aid the execution of our team's mission and vision. This position will primarily focus on predictive and prescriptive analytics initiatives, developing machine learning models, and algorithms to make future predictions and recommendations.

Typical Day:

• Participate in designing and delivering data analytics and insights around the core metrics, consumed by our senior leadership and investors.
• Data cleaning and preprocessing
• Advanced statistical analysis and hypothesis testing.
• Feature engineering to create new data variables.
• A/B testing and experimentation to optimize processes or products.
• Develop custom algorithms and solutions to solve unique problems.
• Identify patterns to forecast meaningfully and align strategies.
• Creation of informative and visually appealing charts, graphs, and dashboards to communicate findings and insights to stakeholders.
• Support market strategy and business case development with data and predictions.
• Manage and collaborate with multiple project resources, professionals, and colleagues from other departments or our customers.

Qualifications

This role is perfect for you if you:

Have at least 2 years of experience in working with large datasets (more than 10k data points)

Are capable of:

• Ensuring data quality by identifying and addressing missing values, outliers, and inconsistencies.
• Developing and implementing machine learning algorithms and statistical models to solve specific business problems. This may entail tasks such as regression, classification, clustering, and recommendation systems.
• Conducting experiments to test the impact of changes or new features on user behavior or business outcomes.
• Applying statistical methods to answer specific research questions or test hypotheses.
• Developing predictive models to forecast future trends, customer behavior, or business performance.
• Handling and analyzing large volumes of data using distributed computing frameworks like Hadoop and Spark.
• Effectively communicating findings and insights to both technical and non-technical stakeholders, influencing decision-making.
• Solving math equations and problems involving fractions, decimals, percentages, ratios, and time calculations.
• Researching new ways to make use of data

Technical Skills:

• Intermediate to expert skills in JavaScript and Python
• Intermediate or better with PL/SQL (functions and procedures), Spark/Scala
• Ability to stay up-to-date with the latest data science methodologies
• Accuracy and attention to detail
• A methodical and logical approach
• Knowledge of the e-commerce/e-invoice sector is a plus

Additional Information

All information will be kept confidential according to EEO guidelines.