About Parsyl:

Parsyl is a technology company that delivers IoT enabled supply chain visibility and insurance solutions for shippers and suppliers of pharmaceuticals, perishable foods and other sensitive goods. We were founded with the mission to improve lives and save money by providing a better way to understand the quality of goods we all rely on, from the foods we eat to the medicines we need. We are working to achieve this by combining smart sensors, data insights, and comprehensive cargo insurance coverage to improve risk resiliency and safeguard goods in transit and storage. 

If you’re a team player and would be excited to join a company whose technology will help answer questions like: “Should I give this vaccine to a child?” and “Is this seafood safe to eat?”- we’re looking for you.

Where you fit in:

As an early member of a fast-growing startup, you will work with the product, engineering and broader team to identify and build valuable, scalable machine learning tools to assist all supply chain stakeholders in understanding, mitigating and insuring risks to sensitive goods. As a member of the Data Science team, your work will directly impact the success of the business and its mission.

You are a good fit for this position if you have a solid foundation in the basics of data science and are eager to learn and to take ownership of projects. You are highly motivated and like to work in a fast paced and ever changing environment.

Technologies used by the team:

• Python data science toolkit (pandas, sklearn, numpy, etc.)
• SQL
• Git

What you’ll get to work on:

• Work with IoT time series data, structured & unstructured contextual data and third party data sources to understand sensitive supply chains in multiple lines of business.
• Work with the product team to translate the above understanding into meaningful and actionable insights and products for our customers; for example, supply chain risk ratings and predicting quality outcomes.
• Work with the engineering team to automate said insights and products in our platform.
• Build, maintain and enhance critical reports showcasing our data insights & tools to existing and potential customers.
• Communicate complex concepts, solutions and the results of analyses in a clear and effective manner to business stakeholders and technology leaders to maximize the effectiveness of data science initiatives.
• Design, implement, analyze and summarize data creating experiments.
• Contribute to a reusable code base shared across the data science team.

Qualifications:

• Bachelor’s degree OR 6 years of relevant work experience
• Experience writing scripts in Python, R or similar scientific language
• Experience querying structured databases
• Experience building predictive models with a tangible business application
• Experience communicating complex concepts to non-technical audiences

BONUS IF YOU ALSO HAVE…

• Advanced degree in mathematics, computer science, physical or social sciences
• Advanced machine learning, statistical or programming skills
• Experience in global health, pharmaceuticals, perishables, or supply chain
• Experience in financial industries, such as insurance, mortgages, etc.
• Experience working with IoT sensor or other time series data

Qualities We Look For:

• Mission -- You are highly motivated and inspired by our mission to improve health and save money for people across the globe.
• Grit -- You bring determination and a strong will to the challenges and opportunities that come with being at an early stage startup.
• High Standards -- You take pride in your work and are highly accountable. 
• Curiosity -- You are energized by finding creative solutions to new situations. 
• Self-Starter -- You are ambitious and take initiative, and thrive in environments with minimal supervision. 
• Humility -- You approach your work with humility and a willingness to collaborate and learn from those around you in order to produce the best outcome.

Compensation and Benefits:

• Competitive Salary
• 401(k)
• Medical, dental, and vision insurance
• Monthly wellness and commuter benefit
• Early-stage stock options
• Significant career growth opportunities
• Continuing education stipend
• Unlimited vacation
• Relocation assistance available