Data Scientist

• Company Tiger Analytics
• No. of Openings 10+
• Salary Not Disclosed
• Work Type remote

Job Description :

Key Responsibilities

• Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
• Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
• Advocate and educate on the value of data-driven decision making; focus on the “how and why” of solutioning.
• Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers.
• Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products.
• Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources.
• Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.
• Stay connected with external sources of ideas through conferences and community engagements.

Requirements

• Masters Degree in Data Science, Computer Science, or related field
• 3+ years of Data Science and Machine Learning experience required
• Proficiency in Python or R. Ability to write complex SQL queries
• Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets.
• Ability to implement ML best practices for the entire Data Science lifecycle
• Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.)
• Exceptional communication and collaboration skills to understand business partner needs and deliver solutions
• Bias for action, with the ability to deliver outstanding results through task prioritization and time management
• Experience with data visualization tools — Tableau, Power BI, etc. preferred