Data Scientist

Job Description

Partner with stakeholders in defining business problems, identifying challenges, discovering opportunities, developing and implementing recommendations from data driven solutions and insights.

Prioritize, scope and manage data science project and the corresponding key performance indicators (KPIs) for success

Understand new and existing data sources and process pipelines and catalog/documenting them.

Apply statistical analysis and visualization methods and generate hypotheses about underlying mechanics of business processes.

Develop and implement AI solutions leveraging big data (e.g., comprehensive internal and alternative data sources) and advanced analytic tools and techniques (e.g., R, Python, Power BI, Tensor flow, Keras, etc.) across the organization that will contribute to revenue, cost/loss reduction, risk treatment, and compliance.

Apply various Machine Learning and advanced analytics techniques while integrating domain knowledge into the Machine Learning solution.

Establish best practices around ML Operationalization or MLDLC

Promote collaboration with other data science teams within the organization and encourage reuse of artifacts

Present to stakeholders possible opportunities, recommended solutions and impact to the business, and implementation proposals.

Qualifications

Soft Skills:

Communication

Employs multiple strategies for gathering information from key stakeholders.

Communicate to stakeholders in a manner they understand - translating technical terms for the understanding of stakeholders

Articulation to their work group - to understand the process as part of group

Leadership

Works closely with team members; Engages and contributes to suggestions on how to improve

Managing own self - Level of accountability, ownership

Stakeholder Management

Has the ability to engage stakeholders in order to understand their perspective. Can put their perspective clearly. Works to identify possible compromises.

Appropriately communicate results

Analytical Ability

Demonstrates the ability to assess the available information, make a decision and act on it.

Others

Proactive, with initiative and Project Management skills

Technical Skills:

Basic Knowledge on Coding Skills, Data Management, Distributed Computing, Machine and Deep Learning, Storytelling and Visualization, Math and Statistics, AI Technical Skills

Application Experience: 2+ years of experience

Business and Industry Knowledge:

Basic knowledge of the industry

Has an understanding of the key products, services and markets of the organization.