Data Scientist

Remote
Engineering – Data /
Full-time /
We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products using ecommerce data like inventory levels, purchase orders, and fulfillment and package tracking data.

Responsibilities

    • Selecting features, building and optimizing classifiers using machine learning techniques
    • Data mining using state-of-the-art methods
    • Extending company's data with third party sources of information when needed
    • Enhancing data collection procedures to include information that is relevant for building analytic systems
    • Processing, cleansing, and verifying the integrity of data used for analysis
    • Doing ad-hoc analysis and presenting results in a clear manner
    • Creating automated anomaly detection systems and constant tracking of its performance

Skills

    • Great communication skills
    • Experience with data visualisation tools, such as D3.js, GGplot, etc.
    • Proficiency in using query languages such as SQL, Hive, Pig
    • Experience with NoSQL databases, such as MongoDB, DynamoDB, Cassandra, HBase
    • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
    • Good scripting and programming skills.
    • Data-oriented personality

Technologies & Tools

    • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
    • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc {{ depending on specific project requirements }}. Excellence in at least one of these is highly desirable
    • Experience with data visualisation tools, such as D3.js, GGplot, etc.
    • Internally you'll have access to Redshift (backed by AWS Aurora MySQL), Looker, and DynamoDB
Benefits:
- Remote friendly environment, work anywhere within the United States 💻 ✈️
- Competitive Compensation 💵
- 401(k) Match 💰
- Comprehensive Medical, Dental, and Vision insurance ⚕️
- Flexible Paid Time Off + Holidays 🏝
- Stock Options 📈

ChannelApe is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.