• Location: USA, Massachusetts, Boston
  • Salary: Up to US$200000 per annum
  • Technology: AWS Big Data Jobs
  • Job Type: Permanent
  • Date Posted: 13th Jun, 2019
  • Reference: JF/061319CC_1560464045
Customer Facing Data Scientist - NYC & Boston - $180-200K+

My client is an AWS Advanced Technology Partner located in Downtown Boston. They're looking to bring on a senior level Customer Facing Data Scientists who have strong fundamentals of applied data science in a business setting, and enjoy communicating and evangelizing data science solutions to business stakeholders. You should have hands on experience building and implementing predictive models using machine learning algorithms.

Customer Facing Data Scientist - NYC & Boston - $180-200K+

Requirements:

* Extensive experience coding in Python
* Ability to build long-term trusted relationships with customers
* Experience with Hadoop and Big Data related technologies
* Client-facing experience is a must
* Experience with Machine learning models and algorithms
* Willing to travel a maximum of 50% in Greater NYC & Boston area (depending on location)

Benefits:

* Joining a fun, hard-working and collaborative team
* Competitive base salary and equity
* Speak at leading industry conferences
* Free snacks & lunches
* Beer on tap!
* Company outings
* Fully paid benefits

If you are interested in this position, please call me (Casey Carton) at 212-731-8282 or simply send me your resume to my email address - c.carton@jeffersonfrank.com. Act fast, as this opportunity will most likely be off the market in the near future.

I understand the need for discretion and would welcome the opportunity to speak to any AWS Big Data candidates that are considering a new career or job either now or in the future. Confidentiality is of the utmost importance. For more information, I can be contacted at 212-731-8282. Please see www.jeffersonfrank.com for more information.

AWS / Big Data / IoT / Hadoop / Hive / Pig / Spark / R / Scala / Pyspark / Azure / GCP / HD Insight / SQL Data Warehouse / Data Lake / Stream Analytics / Machine Learning / Spark / Redshift / EMR / EC2 / S3 / Presto / Kinesis / Analytics / Boston / United States

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