Data Scientist - Pricing Strategy & Analytics (Remote-LatAm)

Oct, 14
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→ Do you see yourself deep diving into internal and external data, leading a multitude of analyses and projects that generate insights for the overall pricing strategy?
→ Are you capable of bridging theory to practice, simplifying complex concepts to a larger audience and communicating your analyses and models to stakeholders?
→ Do you want to work with many different teams to assist in identifying which multi-million dollar bets we should make to maximize yield and minimize risk?
If so, nice to meet you! We are Loadsmart and we have recently created a new Data Scientist in Pricing Strategy & Analytics role. We are a Series C-funded logistic technology company that has increased our revenue by 200% year over year, led by a leadership team of logistics veterans and experienced engineers, product leaders and data scientists continuing to disrupt this $800 billion industry.
We are seeking a data scientist /economist who thrives in a dynamic and fast-paced global company. 
LOCATION: Remote from anywhere in Latin America

What you get to do:

    • Lead statistical & econometric analyses, leveraging both internal and external market data to create pricing strategies that optimize revenue, PnL, and manage brokerage risk in both spot and contracted freight markets in the US. This includes:
    • Identifying patterns and trends that help feed our pricing strategy
    • Understanding the dynamics of our machine learning pricing algorithms to create optimal strategies on top of existing algorithms
    • Leveraging macroeconomic and industry level data and analytics to identify actionable business opportunities and improve our lane-level and company-level strategy
    • Leverage technical expertise to design database structures, automate recurring tasks, and publish market research & insights internally (potentially externally down the road)
    • Optimize Loadsmart’s PnL by enhancing Loadsmart’s spot (day-to-day) and contracted (long-term) pricing
    • Collaborate with Sales, Account Management, Carrier Sales, Product, Engineering, Data Science, and existing Pricing Strategy teams to provide data-driven insights and to enhance knowledge and understanding of the truckload market
    • Create the foundation for building / growing a business-facing data science & analytics team.

You have experience:

    • 5+ years of experience in a highly analytical data science, statistics, economics, finance or related roles
    • Proficient in verbal and written English – you will be communicating with native English speakers daily
    • Proficiency in R, Python or similar programming language, advanced Microsoft Excel skills and a basic working knowledge of SQL
    • Masters / PhD is a plus
    • Academic background and/or job experience in economics & finance is a plus
    • Proficiency in modelling time series data is a plus
    • Effective analytical and problem-solving capabilities
    • Able to excel alongside and within groups to maintain a collaborative work environment
    • Detail oriented and focused
    • Note: This role does not require knowledge of software engineering in activities such as : Implementing models into production, configuring APIs, maintaining tech infrastructure, data pipelines, etc.

Your colleagues describe you as:

    • Highly analytical - data driven, logical reasoning, strategic, also having an eye for the business bottom line 
    • Detail orientated & organized - structured, can balance multiple projects/deadlines
    • Strong communicator - clear & specific
    • Agile and proactive - independent self-starter.
• Competitive base salaries - we believe in rewarding top talent 
• Extremely competitive Equity package
• Signing bonus - because you will work remotely, you will use it as you like: to setup your home office, get a new laptop or buy that amazing coffee machine to make your days happier :)
• Training budget - we will support you on developing your skills.
• Unlimited time off
• Wellbeing initiatives
• Lots of engagement activities;
• An opportunity to work with a diverse, global community of 450+ Loadies united by our core value of Teamwork 
• Regular recognition, feedback, and transparency across all levels
• Opportunities for you to join our community service initiatives.
At Loadsmart, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. Loadsmart treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes, including on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status, or disability.
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