Principal Data Scientist

    • Tiger Analytics
  • Chicago, IL
  • Posted 60+ days ago | Updated 5 days ago

Overview

On Site
Full Time

Skills

Advanced analytics
Data Science
Machine Learning (ML)
Market research
Data mining
Information retrieval
Analytical skill
Decision-making
Business acumen
Computer science
SQL
Use cases
Time management
Data
Analytics
Artificial intelligence
Leadership
Design
Collaboration
Strategy
Educate
FOCUS
Python
R
Modeling
Clustering
Regression analysis
Simulation
Optimization
Natural language processing
Management
Microsoft Azure
Communication

Job Details

Tiger Analytics is looking for experienced Principal Data Scientist to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a Principal Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

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
  • Bachelors Degree in Data Science, Computer Science, or related field
  • 10+ 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.)
  • Experience with Azure AI Document Intelligence is must have.
  • 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

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.