Ref ID: 04510728
Classification: Data Scientist
Compensation: $100000.00 to $130000.00 yearly
We are looking for someone who is an expert at turning large, complex data sets into simple, actionable insights. They must have strong experience using a variety of machine learning and analysis methods, using a variety of data tools and building and implementing models. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams.
•Developing custom machine learning models (supervised and unsupervised) that address business needs and measuring performance of these models to ensure desired business outcomes.
•Define and track key business metrics; design reports and analyses to monitor and understand them.
•Mine and analyze data from internal and external data sources to drive optimization and improvement of business strategies.
•Development and management of dashboards and other interactive applications displaying results of machine learning models and analysis.
•Designing, developing and implementing machine learning prototypes that are piloted and operationalized throughout the business in formats consumable to business users.
•Working closely with the business to collect feedback to maintain and improve model functionality and accuracy over time.
•Developing and institutionalizing best practices for scalable data processing and machine learning.
•Working closely with analytics team to guide them on structuring relevant data to facilitate data exploration and prototyping.
•Working closely with business managers to ensure business relevance of analytics processes and models.
Requirements: • Bachelor’s degree in Business, Computer Science, Information Technology, Analytics, Mathematics or similar field preferred. • 5+ years of direct and hands-on experience in data analytics. • 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, statistical tests and proper usage, etc.). • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets. • Strong knowledge of and hands-on experience with data manipulation tools (SQL) required and current analytics tool/s (e.g., QlikView/QlikSense preferred, Tableau, Kibana) preferred. • Advanced working SQL knowledge and experience working with relational databases. • Strong communication skills and the ability to present analysis, clearly and concisely, to senior executives and team members who may not have an analytics background. ** FOR IMMEDIATE CONSIDERATION PLEASE SEND YOUR MOST UPDATED RESUME TO **
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