Data Scientist II

Key Skills

Aartificial intelligence, Apache Hadoop, Big Data Technology, Data Analysis, Data science techniques, Deep Learning, Github, Java Programming, Machine learning techniques, Mathematics, Neural Networks, NoSQL, Python Programming, Spark Core, SQL, Statistics

Job Description

What should you know about joining Glance?

At Glance, we walk the talk – free yourself, dream big, and chase your passion! On joining, you’ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups.

Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences.

While you work, we’ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids – even the furry ones – to the office!

What you will be doing?

Glance is looking for a Data Scientist who will design and develop processes and systems to analyze high volume, diverse big data sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors. Interacts with business partners to identify questions for data analysis and experiments. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and or prepares output from analysis and experiments to business partners.

Basic Qualifications:

• Two+ years experience working in a Data Science role

• Experience developing and deploying ML models in real world environments

• Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields

• Experience working with Python, Java, Spark or other open-source software with data science libraries

• Experience in advanced math and statistics

• Excellent familiarity with command line linux environment

• Able to understand various data structures and common methods in data transformation

• Experience deploying machine learning models and measuring their impact

• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Preferred Qualifications

• Bachelor’s or Master's Degree or PhD that included coursework in statistics, machine learning or data analysis

• Two+ years experience working with Hadoop, a NoSQL Database or other big data infrastructure

• Experience with being actively engaged in data science or other research-oriented position

• You would be comfortable collaborating with cross-functional teams.