Junior Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Soothsayer is seeking a Junior Data Scientist who has experience and interest in solving challenging big data problems. The ideal candidate has expertise and interest to solve interesting business problems using large-scale analytics and algorithms. The Data Science team works on a variety of exciting analytics and modeling projects.

Job Description:

• Solve cutting edge, challenging problems working alongside a great team of world class data scientists and analytics experts
• Effectively identify, prioritize and communicate data requirements supporting analytics that deliver key business insights
• Having a passion for solving interesting and challenging big data problems
• Expert and desire to be hands on as well as lead teams to solve interesting business problems using large-scale analytics and algorithms
• Reframe business, and product objectives as machine learning tasks that can deliver actionable insights and accurate predictions
• Communicate results to scientific, business, and editorial stakeholders
• Mine data to prototype models for targeting and personalization
• Collaborate with other engineers, data scientists, and product/business people
• Execute your machine learning research with reliability and reproducibility

Education and Experience:

• Bachelors in computer science, applied mathematics, or equivalent.
• 1 year of experience across one or more of the following disciplines: analytics, data warehousing, software engineering
• 1 year experience with open source machine learning tools built in Python or R
• 1 year experience with scripting languages (e.g., Python, Ruby, Perl, Bash)
• Data engineering experience, including SQL and manipulating large structured or unstructured datasets for analysis
• God to have knowledge with MapReduce/Hadoop and related technologies (e.g., Pig, Hive, Cascading). Familiarity with Amazon Web Services and Elastic MapReduce a plus
• Hands on experience with implementing machine learning algorithms and models
• NLP experience is a plus
• Excellent data presentation skills