Data Scientist Intern

Key Skills

Python Programming, Machine learning techniques, R Programming, Statistics, Algorithms, Common data structures, Hypothesis testing, Logistic Regression, Probability, Random forests, K-Means clustering

Job Description

We are one of North America’s top online marketplace seller with over 10 years of knowledge and expertise.

Packable, the holding company of Pharmapacks is a premier team of eCommerce experts connecting consumers to their favorite health, beauty, and wellness brands on popular online marketplaces such as Amazon, Walmart, Target Plus, Google Marketplace, and eBay. Since our inception in 2010, we’ve grown to become one of the largest marketplace sellers in the U.S. and are now the largest Amazon third-party seller in North America.

Since our inception, we’ve achieved exponential growth by consistently delivering on our promise of best-in-class eCommerce enablement. We provide some of the world’s most renowned and innovative brands with 360 services around brand management, marketing, and fulfillment. We’ve also built cutting-edge proprietary technology incorporating our 10 years of marketplace experience which we leverage in areas such as search marketing, inventory forecasting, and logistics optimization to quickly realize maximum sales potential for each product we sell.

As a founder-led organization, we highly value our entrepreneurial spirit and ability to get stuff done in an incredibly high-growth environment. We strive to develop the best solutions for our customers while creating a place where our employees can do their best work and be their best selves.

We are now part of the Carlyle portfolio of companies which means substantial investment in our growth, our business and most importantly, our people.

WHY THIS ROLE IS MISSION-CRITICAL

The Data Science Intern will support the data science team and the company as a whole by working on exciting and impactful projects.

KEY PRIORITIES

• Analyze data and find actionable insights
• Build impactful machine learning models
• Learn from and support various aspects of the business such as revenue, marketing, and operations

BASIC QUALIFICATIONS:

• Current undergraduate, master, or Ph.D. student in a quantitative discipline such as Data Science, Computer Science, or Statistics
• Coursework in data structures, statistics, probability, and machine learning
• Fluency in at least one programming language such as Python or R
• Proficiency in at least one relational database querying language such as MySQL
• Experience with machine learning algorithms such as random forests, logistic regression, and KMeans
• Experience with statistical techniques such as hypothesis testing

NICE TO HAVE:

• Experience with time series forecasting models such as ARIMA, Holt-Winters, LSTMs, and attention mechanisms
• Experience with big data frameworks such as Spark or Hadoop
• Experience with ETL tools such as AWS Redshift or Glue

WHAT WE VALUE:

DO BETTER EVERYDAY

We're improving all the time by being curious and humble. As we work towards the future, we're constantly learning, developing, and growing – as individuals and as a team.

BACK THE PACK

We care about each other and build strong relationships. We have each other's backs and value everyone for who they are – and we don't forget to have fun.

MAKE IT HAPPEN

We take on ambitious challenges and we deliver every time. Our resilience helps us thrive in the face of adversity – and it helps us always get it done.

Be ALL IN

We treat the business like we own it and are in it for the long haul. We're passionate and committed about what we do – and we leave everything on the field.

Pharmapacks is an Equal Opportunity Employer. M/F/D/V encouraged to apply.