Data Scientist

Job Description

Affirma is a full-service technology consultancy. We provide a breadth and depth of expertise while maintaining the personal touch of a boutique firm. Our teams specialize in helping organizations of all sizes solve their most challenging business pain points by creating custom in-house solutions. We offer services ranging from business intelligence, web design and creative consulting, infrastructure, and so much more.

Responsibilities:
Tackle problems on a broad spectrum of areas: Supply Chain Optimization, Inventory & Capacity Planning, Process Design & Optimization, Financial Modeling, Demand Forecasting.

• Work with stakeholders to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from client databases to drive optimization and improvement through data.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Coordinate with different functional teams to implement models and monitor outcomes. Qualifications
• Strong problem solving skills with an emphasis on supply chain and manufacturing.

Experience:

• We're looking for someone with 3-7 years of experience manipulating data sets and building statistical models, degree in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience with distributed data/computing tools: Hadoop, Hive, Spark, etc.
  • Experience visualizing/presenting data for stakeholders using: Excel, PowerBI, Tableau, etc
  • Experience in Azure, notebook deployment in tools like ML studio, Synapse, Databricks and Fabric.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques

Affirma is an Equal Opportunity Employer and does not make employment decisions or otherwise discriminates based on race, creed, color, national origin, sex, military status, sexual orientation, or the presence of any sensory, mental, or physical disability, genetic information, or any other category protected by law.