Data Scientist Location: Plano, TX

Data Scientist

Location: Plano, TX

Be able to build Advanced Search Algorithms and build models.

We are looking for an experienced Data Scientist to join our client with a focus on Big Data and Cloud technology. The candidate will work on the Search and Gallery piece of a retail eCommerce website and they plan on implementing Data Science techniques such as Heuristic Ranking, Query Understand, Filters and Personal & Local Results

Responsibilities Include

· Apply your expertise in machine learning/data mining techniques and build forecasting, prediction, segmentation, recommendation and fraud detection systems in retail domain

· Collaborate with product and engineering teams to solve business problems and identify opportunities

· Build ML algorithms to drive personalized and relevant customer experience

· Extend/augment company data with third party data, enhance data collection procedures to include information required to build analytic systems

· Assist with designing and building infrastructure to facilitate analytics and experimentation

· Present results and make recommendations in a clear manner to leadership

· Provide thought leadership and mentor data science community across the organization

Core Competencies & Accomplishments

· Master’s degree in Computer Science or Statistics and minimum 2 years of hands on experience in data science/machine learning

· Understanding of software engineering best practices, development and validation of machine learning algorithms

· Prior Experience in Search Algorithms

· Excellent understanding of machine learning algorithms: Clustering, Regression, Decision forests, k-nn

· Proven track record working on distributed, scalable cloud platforms. Good scripting and programming skills

· Knowledge in Cassandra or Hadoop platform is critical. Hands on experience with data modeling, data loading, optimization, and warehousing techniques and technologies in either of the following: Teradata, Hive, Python, Spark, NoSQL, or Cassandra

· Experience in data ingestion/extraction (Hive, SQL), data manipulation (Python, Spark, R, Hive) and machine learning development (R, Python, Spark, H2O)

· Ability to work on large volume of data

· Ability to create data for search relevancy. Specifically

o Geography – query – pp data

o Persona – Geography – query – pp data

o Using NLP to create vector representation of query-pp attribute relation

· Data quality check

· Feature engineering techniques to remove bias, standardize and normalize data

· Familiarity with Ranking and classification model creation and evaluation

· Strongly prefer prior experience in retail e-Commerce or related domain and on Search & Ranking Algorithms