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Data Scientist

Louisville, KY, United States  |  Information Technology  |  ID: REQ-8524


Job Location

USA, Louisville, KY

Job Posting Title

Data Scientist

The Challenge

The data scientist will play a pivotal role in planning, executing and, delivering AI/Machine learning-based projects. The bulk of the work will be in machine learning (ML) modeling, management and, problem analysis, data exploration and, preparation, data collection and, integration, operationalization. The newly hired data scientist will be a key interface between the advanced analytics team and the business unit(s) and other Digital Transformation (DT) Teams. Candidates need to be very much self-driven, curious and, creative. The role may also support the related roles of data engineer and DevOps engineer at times.

What you will Do

Problem Analysis and Project Management

  • Guide and inspire the organization about the business potential and strategy of artificial intelligence Identify data-driven/ML business opportunities
  • Collaborate across the business to understand IT and business constraints
  • Prioritize, scope, and manage data science projects and the corresponding key performance indicators (KPIs) for success Communicate governance principles

Data Collection and Integration

  • Understand new data sources and process pipelines and catalog/document them
  • Acquire access to various databases and other sources systems such as Oracle, Columnar (Vertica) databases, AWS Data Lake, etc.,
  • Create data pipelines for more efficient and repeatable data science projects

Data Exploration and Preparation -

  • Apply statistical analysis and visualization techniques to various data and derive insights -
  • Apply clustering techniques such as Hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)Machine Learning Generate hypotheses about the underlying mechanics of the business process
  • Test hypotheses using various quantitative methods
  • Display drive and curiosity to understand the business process to its core
  • Network with domain experts to better understand the business mechanics that generated the data
  • Machine Learning Apply various ML and advanced analytics techniques to perform classification or prediction tasks Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing
  • Testing of ML models, such as cross-validation, A/B testing, bias and, fairness
  • Implementation Collaborate with Ops, data engineers, and architects to evaluate and implement ML deployment options
  • Integrate model performance management tools into the current business infrastructure
  • Implement champion/challenger test (A/B tests) on production systems
  • Continuously monitor execution and health of production ML models Establish best practices around ML production infrastructure

What you need to Succeed

Minimum Qualifications:

  • Bachelor's degree in Information Systems, Information Technology, Computer Science
  • Master's degree in Analytics or similar
  • Minimum of 2 years of IT experience, specifically working on Data Science projects
  • Experience with Machine Learning/AI projects
  • Ability to work with stakeholders in change management of digital transformation
  • Effective verbal and written communication skills within IT and with business clients.
  • Ability to work independently & provide innovative solutions
  • Ability to work in diverse, cross-functional teams, with technical peers and business partners in a dynamic business environment.
  • Candidates should exhibit superior presentation skills, including storytelling and other techniques

Preferred Qualifications:

  • Experience in Angular (Web framework), Jupyter notebook, Google Collab, Flask etc.
  • Experience in one or more of the following commercial/open-source data discovery/analysis platforms: Tableau, PowerBI, Sales Force/Einstein (Tableau CRM), SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Amazon SageMaker and Google Cloud ML.
  • Experience with popular database programming languages including SQL, PL/SQL, for relational databases and Analytics databases such as Vertica, Redshift etc.
  • Experience of working across multiple deployment environments including [cloud, on-premises and hybrid], multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others.
  • Expertise in solving classification and prediction problems e.g vision, text analytics, credit scoring, failure prediction, propensity to buy etc.
  • Knowledge and experience in statistical and data mining techniques: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
  • Experience to work with team members in multiple geographies and across time zones

GE Appliances is an Equal Opportunity Employer.  Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.



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