Senior Data Scientist

Archer Technologies LLC

Responsibilities:

• Applies a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights based on large-scale data.
• Consolidates and analyzes structured and unstructured data sources to generate insights and solutions for actionable business insights.
• Executes preliminary data exploration, data preparation steps and variable/algorithm selection as well as model development/validation and scoring.
• Works under limited supervision with internal and external teams to understand requirements and develop proposals.
• Experiment to prove workability for suggested solution by building steel frame, POCs, prototypes and MVPs.
• Reiterate to seek feedback, implement with agility to deliver incrementally with speed while responding swiftly to requested changes.
• Provide technical assistance and guidance to other team members whenever applicable, while working in self-disciplined and self-organized environment.

Other Duties:

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice at management discretion based on business need.

Requirements:

• 5+ years of relevant working experience.
• Bachelor s degree in Computer Science or Computer Engineering.
• Solid knowledge of a variety of machine learning techniques (Classification, Regression, Clustering, Similarity Matching, Profiling, Link Prediction, etc.) and experience with using machine learning algorithms (k-NN, Naive Bayes, SVM, Decision Forests, Neural Networks, etc.) to solve real-world business problems.
• Solid applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.
• Experience with a statistical programming language like R or Python.
• Experience with SQL and NoSQL databases.
• Experience with using data visualization tools like ggplot, d3.js, Tableau or PowerBI.
• Experience with software development agile methodologies.
• Familiarity with JavaScript.
• Familiarity with AWS RDS, Redshift and S3.