Data Scientist - Assistant Manager

• Experience in programming languages.

• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation

• Develop and drive complex projects using Advanced analytic techniques. Translate conceptual questions into data-driven analyses to allow leaders to make informed decisions

• Liaison with on-site and client teams to understand various business problem statements analytical requirements

• Drive for value proposition with best in class industry practices latest algorithms

• Oversee improve machine learning models developed by the team identify scope for model improvements best practices.

• Candidates must have experience in developing Machine learning models.

• In-depth knowledge of machine learning, deep-learning processing techniques.

• Develop AI/ML solutions/applications leveraging the latest industry and academic advancements.

• Experience with data cleansing, feature creation, feature selection, and value imputation.

• Broad experience building different types of advanced analytic solutions, including some of the following: time series analysis, cluster analysis, tree-based algorithms, generalized linear models, or neural networks.

• Leverage a broad stack of technologies Python, Conda, AWS, H2O, Spark, and more to reveal the insights hidden within huge volumes of numeric and textual data

• Develop Predictive analytics solutions on the different types of financial information

• Develop and operationalize reporting to measure the impact of implemented changes

• Lead efforts to optimize our business

• Drive large scale, complex cross-functional initiatives in support of the senior leadership key strategic priorities

• Identify key indicators of economic shifts, business and/or policy changes and prepare situational playbooks to allow leaders to focus on mission-critical decisions

• Excellent communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels.

• Exercise sound judgment to diagnose and resolve problems within an area of expertise.

Qualifications:

• Degree in Statistics, Applied Mathematics, Computer Science or other technical disciplines

• 6+ years of relevant experience in a Data Science

• Effective communication skills, both written and verbal; ability to tell the story and develop executive-level presentations with guidance

• Demonstrated ability to work effectively and collaboratively with teams

• Experience in descriptive predictive analytics

• Strong understanding of statistical analysis, predictive modeling, and data engineering techniques

• Ability to develop analytical approaches to answer high-level questions and develop insightful recommendations

• A client-service mindset and a desire to take on tough and challenging projects. The scope and variety of work will change frequently depending on the current project portfolio

• An understanding of finance and financial analysis is preferred

• Working knowledge on the financial information