Data Science and Analytics Lead  

Duties and Responsibilities

• Help translate business needs and requirements to technical specifications
• Data Analytics
• Help clients define and refine metrics and KPIs that answer their key business questions 
• Perform or provide support to data analysts for the following activities: 
• Data review and validation of customer data collected 
• Data profiling to identify and understand anomalies 
• Data preparation for analysis and visualization/reporting 
• Solutions building, testing, productionize, and deployment 
• Technical document creation and update 
• Knowledge sharing and/or technical training 
• Create value from data by performing analytics and statistical techniques to identify insights, generate recommendations and Communicate data value to key stakeholders 
• Data Science
• Design, implement, train, and assess the performance of Data Science Solutions
• estimate timeline for the entire pipeline
• Perform/supervise the whole machine-learning pipeline
• cleaning, formatting, splitting, joining datasets
• model training and improvement
• model deployment
• Develop and maintain collaborative relationships with other stakeholder groups 
• Project Efforts Estimation
• People Management
• Build an environment where problems can be raised w/o fear of blame, retribution, or judgement
• Be open and actively listen to members’ concerns, suggestions
• Ensure that the team is adequately staffed both in terms of numbers and skill set/expertise
• Establish a goal for the team, as well as for each member of the team
• Provide feedback (either positive or negative) to members; Recognize high performance
• Project Management 
• Triage; Ensure that the project is aligned with the skillsets, direction, and availability of the team 
• Allocate resources to projects or requests 
• Coordinate and handle multiple, simultaneous pre-sales assistance activities and projects
• Ensure the timely and of quality delivery and completion of projects and services
• Process Management 
• Help design, implement, and keep up to date the processes and systems, ensuring efficient and effective implementation of all projects 
• Ensure that all project and team documents are complete as this is the basis for discussions with clients 
• As a team member,
• Help cultivate a psychologically safe environment
• Encourage and help other team members on their weak points, as well as be open to asking for other team members’ help on your weak points
• Share knowledge (via brown bag or technical sessions)
• Perform similar duties aligned with the proper execution of roles and responsibilities assigned

A. Minimum Education

• Bachelor’s Degree in Statistics, Applied Math, Computer Science, Physics, Engineering, Data Science, or any other related field (AND/OR) An equivalent of the same in working experience

B. Minimum Experience/Training

• Experience implementing a Machine Learning Project

• Can be as a project in your company, a freelance project, or a personal project

• Must be able to explain the process of how the project was developed

• Demonstrated technical and leadership skills

• Collaboration

• Ownership

• Sense of urgency

• Communication

• Experience developing a Machine Learning model and having it used by the client or any end user

• Experience deploying a Machine Learning Model

• Experience leading a Data Science project

• Experience integrating a Data Science Solution with Dashboards (tools like Tableau, PowerBI)

• Experience in report and dashboard creation, statistical/data modeling, quantitative analytics, data mining and analysis techniques

C. Competency

• Distinctive problem-solving and analytical skills combined with effective communication skills

• Demonstrated ability to convey complex concepts and solutions to all levels of an organization

• Proficient in Microsoft Office Tools (esp. Microsoft Excel) and G Suite

• Proficient with Implementation experience in at least one of the following tools: Tableau, Alteryx, Pentaho, and/or PowerBI (Intermediate level)

• Programming -- Python/R and familiar with data wrangling and modeling libraries

• Has at least one subject area or industry of expertise – knowledge in application domains such as in Finance, Healthcare, Education, Manufacturing

D. Soft Skills

• Persistent and with Integrity.

• Collaborative and Patient.

• Self-starter, Having a growth mindset and Critical Thinker.

• Innovative and Resourceful.

• Attention to detail