Senior Data Scientist

Company: Alldus
Location: Walton , New York, United States
Type: Full-time
Posted: 10.NOV.2019

Summary

Senior Data Scientist New York, NY Salary: $170k - $190 + Bonus Why Work Here? Drive digital transformation and innovation in some of t...

Description

Senior Data Scientist

New York, NY

Salary: $170k - $190 + Bonus


Why Work Here?

Drive digital transformation and innovation in some of the worlds leading organizations!


The Company

Headquartered in New York and with 18 offices around the world, This innovation driving technology consultancy is helping global companies embrace the most cutting-edge innovations to evolve their businesses. They deliver to these firms an end-to-end Digital, Consulting and Technology capabilities with expertise in capital markets, wealth management and insurance as well as emerging technologies like Blockchain and Artificial Intelligence. This has helped the company to grow to $500+ million in annual revenue and 8,000 employees Globally.


The Role

The Data Science team is looking for a seasoned data scientist with a strong analytics, programming, and machine learning background. The ideal candidate will work closely with top tier financial services organizations to formulate solutions to complex business problems using multiple analytical tools and frameworks, including statistical analysis, natural language processing, machine learning, and deep learning.



Responsibilities

  • Design and develop scalable solutions to complex problems using statistical modeling, machine learning, Natural Language Processing, Optical Character Recognition, and deep learning
  • Implement solutions in Python in multiple environments including Spark, AWS, and Azure
  • Meet with clients to understand business use cases, identify needs, and formulate end-to-end solutions encompassing data ingestion, cleansing, modeling, and predictive and prescriptive analytics
  • Independently formulate new ideas for solving client problems or providing clients with new tools for growing revenue, reducing cost, improving customer acquisition and retention, and automating business processes.



Basic Qualifications

  • Hold a MS or PhD degree in a quantitative discipline: computer science, applied mathematics, statistics, or related
  • Programming skills in Python
  • Presentation skills including experience presenting complex ideas to clients and prospects
  • 8+ years of total experience including 4+ years of experience developing machine learning systems in Python, Java, or a related programming language
  • Hands on experience with data mining, machine learning, econometric analysis or equivalent
  • Experience in Hadoop or other MapReduce paradigms and associated languages such as Spark

 
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