Data Scientist- (Python, R, SAS, Machine Learning) – 3-5 years- Remote
Our client is looking for someone who has more than 3 years of experience in Python, Machine Learning Techniques like GLM, GBM / XGBoost, and RF.
Location- Remote Work
Your Future Employer- One of the top award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption and business transformation.
Data mining or extracting usable data from valuable data sources.
Using machine learning tools to select features, and create and optimize classifiers.
Carrying out preprocessing of structured and unstructured data.
Enhancing data collection procedures to include all relevant information for developing analytic systems.
Processing, cleansing, and validating the integrity of data to be used for analysis.
Analyzing large amounts of information to find patterns and solutions.
Developing prediction systems and machine learning algorithms
Someone with more than 3-5 years of experience in a programing language like Python.
Expertise in statistical model building and machine learning (GLM, GBM / XGBoost, RF, etc.)
Expertise in model deployment/implementation methods.
Proficiency with SQL and Excel/VBA.
What is in for You-
Amazing opportunities for career progression.
An international and diverse work atmosphere.
A stimulating working environment with equal employment opportunities.
Reach us- If you feel that you are the right fit for the role please share your updated CV at email@example.com
Disclaimer- Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Profile Keywords- Data Science, Machine Learning, GLM, GBM / XGBoost, good stakeholder management skills, Python, R, Crescendo Global, Analytics/Research/KPO.