Machine Learning Engineer - R/SAS/Python

**Job Description :
Roles & Responsibilities :**

• Conduct simple and advanced data analysis to help clients make good business decisions.

• Work with project leadership to define project scope and manage end to end implementation.

• Apply advanced statistical, econometric, optimization models and algorithms to real-world business problems.

• Develop new statistical models as well as provide analysis using existing models.

• Maintain the highest standards to follow the best practices and trending analytics.

• Work with internal business teams to understand problem statement, requirements and use cases.

• Excellent Problem Solving & Quantitative skills

• Hands on experience on Python/R/SAS.

• Experience in tools like Pyspark, SQL, Big Query.

• Ability to create a model & simulation tool from scratch.

• Should be comfortable interacting and managing stakeholders both external and internal.

• Should be good in project management and ensuring timelines and quality is met.

Requirements :

• Masters in Statistics, Marketing, Finance, Operations research, Engineering, or equivalent full-time education.

• 5 to 10 years of work experience on analytic work (use of advanced modelling projects and tools such as R, Python etc.).

• Knowledge of promotional channels and digital analytics.

• Should be inquisitive and have a learning mindset.

• Willingness and ability to experiment with new tools and techniques.

• Strong analytical skills, excellent communication skills and the ability to communicate actionable analytical findings.

• Familiarity with the application of analytics to sales, marketing, or managed markets problems.

• Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment.

• Should have sound experience in data mining and data analysis.

• Strong conceptual & working knowledge of Statistical models.

• Ability to maintain personal composure and tactfully handle difficult situations.