Manage data science projects in an multidisciplinary context from start to end,
Communicate with various levels of management on a business and technical level,
Build ML models to solve complex problems, get actionable insights and drive business decisions,
Perform statistical analysis and/or data mining methods to discover hidden patterns and relations in data to answer business questions,
Develop and deploy ML models and pipelines that scale to create business value,
Employ the appropriate algorithms to discover customer behavior, marketing channel attribution and customer product preferences, etc.,
What are we looking for:
BS or MS degree in a quantitative discipline (e.g., Computer Science, Engineering, Operations Research, Statistics, Mathematics etc.) or equivalent practical experience.
Min. 4 years of work experience in data related field.
Highly skilled with SQL and is comfortable using either R or Python.
Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow)
Demonstrated real-world experience in implementing and deploying machine learning applications, tools, and infrastructure that have been successfully delivered to customers.
Nice to have qualifications;
· Experience with using and creating dashboards with data visualization tools such as Tableau, Power BI, Looker, etc.
· Relevant work experience in statistical methods such as hypothesis testing
· Relevant work experience with unstructured data such as NLP and image
· Relevant work experience with recommender systems
· Familiarity with working with bigdata
· Demonstrated skills in creating business value using statistical techniques