Data Scientist

·       Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

·       Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

·       Assess the effectiveness and accuracy of new data sources and data gathering techniques.

·       Develop custom data models and algorithms to apply to data sets.

·       Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

·       Coordinate with different functional teams to implement models and monitor outcomes.

·       Develop processes and tools to monitor and analyze model performance and data accuracy.

·       This position will also help develop and deliver training modules to facilitate the roll-out of the new or redesigned processes & continuous improvements initiative

·       Training and Development - train junior business analyst. Share best practices and develop career progression for fellow Analyst.

Secondary Functions:

·       Provide business information, analysis together with supporting data.

·       Facilitate and help teams to create process maps, evaluate process “as is” state and Identify opportunities to increase the efficiency, effectiveness and business impact of assigned areas.

·       Participate & facilitate teams to redesign assigned business processes including new process maps, procedures, develop and deliver associated training modules, communicate process changes.

·       Lead automation of data flows & analysis.

·       Share identified best practices across all relevant functions

·       Communicate effectively with influence, and gain support from all levels of the organization on large scale business process changes.

·       Participate on process audits and help institute process metrics to assess current process health of complex business processes. 

Relationship management:

·       Strong relationship needed with business, developers and system owners, to be able to navigate data form different platforms to provide optimum results

Education:

·       Candidates should hold a technical engineering or computer science degree or statistics or business math. Possessing or pursuing MBA or other relevant professional certification is a plus.

Working Experience:

§  Candidates should possess 3 years analytics experience and be well familiarized with the project lifecycle concepts.  Must have extensive relevant experience in building systemic solutions.

§  Must have extensive programming experience in SQL, PL/SQL, Tableau, Python, R-programming, Visual Basic, and other computer languages.

Business Understanding:

·       Is responsible for creating AI/ML (Artificial Intelligence / Machine Learning) models and solving complex problems.

Others (e.g. language skills, technical skills):

KNOWLEDGE AND SKILLS 1—REQUIRED:

§  Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.

§  Tableau Expert

§  Experience working with and creating data architectures (good to have).

§  Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

§  Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

§  Excellent written and verbal communication skills for coordinating across teams.

§  A drive to learn and master new technologies and techniques.

§  Demonstrates leadership skills – as shown in the ability to influence others and supervise others directly or indirectly through Project work.

§  Exhibits appropriate professional/ethical standards.

§  Flexible, with the ability to manage more than one project at a time and agile enough to be deployed to other teams periodically.

§  Strong competencies in algorithms and software architecture

§  Proficient in Amazon EMR to run Presto and Spark engine

§  2+ years of experience in using AWS cloud and its resources/services

§  Strong experience in Relational Databases (MySQL, SQL Server or PostgreSQL) and non-relational databases

§  Strong experience in real-time data processing and data ingestion

§  Strong experience in batch data processing and data pipelines

§  Preferably someone with experience in Alteryx