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