Data Scientist-Philadelphia Pa

Data Scientist

Location:

Philadelphia, PA OR New York

Position Type:
Full Time

Salary: DOE $/yr. on W2 only

US Citizen, Green Card only

Requirements:

• Expert knowledge of machine learning, data mining and natural language processing algorithms with special emphasis on advanced algorithms like neural networks, SVM, random forests, bagging, gradient boosting machines, k-means++, etc.
• Solid experience in practical predictive modeling. Forecasting is a plus.
• Good understanding of the experimental design, simulation, optimization, mixed methods and market research.
• Exposure to representation learning including deep learning.
• Advanced knowledge of two or more of the analytics languages/toolkits such as R, SAS, SPSS, Matlab or Python with analytical extensions.
• SQL and advanced data processing.
• Proficient in at least one programming/scripting language like Python, Scala, Julia, Ruby, or Java, C#, etc.
• Strong understanding of big data concepts and knowledge of big data languages/tools such as Hive, Pig, Mahout or Spark.

• Leads development of analytical models using statistical, machine learning and data mining models. Defines model development tactics.
• Defines requirements for exploratory and ad hoc data analysis. Generalizes ad hoc analysis to develop new solutions and products.
• Introduces new classes of business metrics.
• Defines feature engineering and extraction tactics.
• Collaborates with the data architects of various data platforms (big data, relational and non-relational) to define requirements for data architecture enhancements and new data ingestion.
• Utilizes Hadoop, SQL and No
  
  SQL languages, tools and technologies to extract and process data for analytical needs. Designs and architects data processing pipelines.
• Utilizes Big Data Analytical tools and packages to build highly scalable analytical models
• Leads the analysis and formalization of the business problems. Collaborated with business owners.
• Leading the team in adoption of new analytical algorithms, tools and technologies.
• Designs and implements new methodologies and algorithms.
• Stays up to date in understanding and contributes to the company and organization strategy.
• Consistent exercise of independent judgment and discretion in matters of significance.

Regular, consistent and punctual attendance. Must be able to work variable schedule if necessary.