Atyeti

Data Scientist

  • Job Type: Contract W2
  • Industry Type: IT Sector
  • Industry Location: Raleigh
  • Experience: NA
  • No. of Positions: 1
  • Primary Skills: Data Scientist spark pyspark airflow
  • Secondary Skills: databricks datafactory
  • Job Location: Raleigh, North Carolina
  • Posted Date: Posted today
Job Description

Atyeti Recognition:
Inc. 500 & 5000 Honoree Company for 2012,2013,2014,2015, 2016 and 2017
Atyeti Ranks No. 270 on the 2012 Inc. 500 List
2012, 2016 and 2017 NJ 50 Fastest Growing Companies

Global Financial Client is looking to hire Data Scientist for its team in Raleigh,NC location. This is a 24 months initial contract role.

key to the role : must have experience with spark and pyspark, airflow or databricks, cloud environment experience aws and azure.

Skills Required
The Data Analytics team utilizes AI and ML to glean insights from traditional and alternative data sets. These insights help the client produce differentiated investment solutions for clients.

Required Skills:
• A Masters in Financial Engineering, Computer Science, related or equivalent work experience, with a solid background in Quantitative Analysis, statistics, factor modeling, evidence based research etc.
• Advanced Knowledge of Python is required
• 3+ years of professional experience and discipline in building Statistical or Machine Learning models
• 3+ years of experience in Data Science techniques like exploratory analysis, feature engineering and ML techniques like clustering, regressions, classifications etc.
• Experience with time series modeling and packages like FB prophet
• Exposure to Machine Learning techniques like hyper parameter tuning, model validation, model serving, model monitoring, retraining etc. (Machine Learning pipeline)
• Experience with machine learning lifecycle tools (i.e. mlflow, kubeflow)
• Excellent written and spoken English, with ability to work collaboratively and communicate well within a highly skilled team, with a wide range of backgrounds and skillsets.

Preferred Skills:
• Experience working in teams of analysts, data engineers, statisticians, and data scientists
• Experience in analytics (a.k.a. decision sciences) and investment sciences in the financial industry;
• Proficient analytical and math background
• Demonstrated success in performing within a functional organizational environment
• Innovative mindset-thinks beyond the status quo
• Knowledge of distributed and cloud computing is preferred

Education:
Bachelors or higher degree

Certifications:
Any Certifications are huge plus

 

 

Relevant Job Openings
Tableau developer
Azure Data Architect with Talend
Azure Cloud Architect
Senior Data Engineer
Senior Data Engineer
Bigdata Developer