Data Science Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

POSITION PURPOSE

Under the direct responsibility of the FUNCT&TVL – Data Solutions Division Technical Architect, the Data Science Engineer is responsible to setup and customize RStudio packages and Tableau server on on-premises or cloud environments. It is a highly technical role with primary responsibility to ensure the users have faultless experience in using RStudio products and Tableau products, working closely with our support and engineering teams through a combination of email, phone and support tickets.

As a member of the data solutions team you will have the opportunity to grow and enhance your technical skills on niche technologies around data science and analytics. You will work closely with the best engineers in the Tableau, R and Python communities; you will help users to solve complex problems; and you will help define best practices for using R and Python in production.

DIRECT RESPONSIBILITIES

As a data science engineer , your key role will be to help application development team in solving their challenges:

• Setup, configure and integrate RStudio packages (Workbench, RConnect, Package Manager) in all environments (On-Premises or on Cloud environments)
• Work along with development team to define the version of the CRAN packages to be installed and take ownership of maintaining the system and integrate with package manager and nexus repository.
• Managing Upgrade activities for Tableau products - Tableau server (Data Management service, Server Management, Tableau Prep builder, Tableau desktop)
• Responsible for ensuring the security requirements adheres to group and WM standards.
• Resolve escalated support tickets, by working directly with users during support calls. Collaborate with data scientists and ML engineers from different teams to empower them to deploy their machine learning solutions to production.
• Help build a knowledge base of support documents, user demos for RStudio and Tableau and define technical architecture working in concurrence with Technical Architect.
• Work with data scientists, ML engineers, business stakeholders and other technology teams to ensure the best practice MLOps is followed. Build and maintain scalable, robust and flexible model training frameworks using containerization technologies as Kubernetes.
• Provide analysis/evaluation of technical solutions recommended by the group to facilitate management decision.
• Automate and manage operational activities (monitoring, alerts etc.)
• Anticipating the growth of user base and accordingly forecast the service enhancement (Licenses, Upgrade, Obsolescence, Infra - Tableau and RStudio)
• Handling sensitive data encryption at rest and in motion and handling data access control based on role based authorization policies.
• To design and build data pipeline using RStudio and Tableau tools (Tableau Prep builder, Tableau Desktop).
• To engage the other technical stakeholders within WM (e.g. Domain Architect, Conformity Cell, Security Team, Application Integration and Production team) in the course of work.

CONTRIBUTING RESPONSIBILITIES

• May involve with development team in building data models and reports/dashboards.
• Mandatory Technical Competencies
• As Data Science Engineer, About 10+ years of Total IT experience.
• At least 5+ years in data engineering and data science projects
• Including recent 3+ yrs in RStudio or relevant R technologies and Tableau.
• As Data Science Engineer, you have experience in
• Hands on experience on Linux OS, Shell or Python scripting.
• Hands on experience on R and/or Python programming 
• Hands on experience on RStudio tools (Workbench, RConnect, Package Manager, Jupyter Notebook etc)
• Knowledge and experience on Machine learning models and Framework– GLMs, SVM, NB, Trees, Clustering, Pytorch, TensorFlow, Sklearn.
• Knowledge and experience on Authentication mechanisms, e.g. PAM, LDAP, SAML and are comfortable troubleshooting authentication integrations.
• Hands on experience in configuring proxy servers and load balancers , e.g. Apache, NGINX, or cloud load balancers
• Good to have knowledge and experience on Virtualization , e.g., Docker containerization and Container orchestration , e.g., Kubernetes or Docker swarm
• Hands on experience on Tableau tools (Tableau Prep Builder , Tableau desktop , Tableau Server , Data Management service, Server Management)
• Good knowledge and experience on CI/CD tools (DevOps) - Bitbucket, GIT, Jenkins , Nexus Serena, AutoSys
• Strong experience in OS & Databases - RHEL, Centrify, Oracle, PostgreSQL, MongoDB, SQL Server
• Strong Experience in Leading & guiding developers in standards process & tools used in design, development, testing & deployment
• Has experience working in Agile delivery model with team across local-remote

Functional & Behavioral Competencies

• Client focused/Critical thinker and has ability to synthesize and simplify.
• Ability to anticipate business/strategic evolution
• Ability to collaborate/teamwork
• Must have good organization skills
• On Communication, must have the following traits:
• Good oral & written skills.
• Ability to manage/facilitate a meeting / committee
• A good team player with problem-solving attitude.
• Analytical and precise: Capacity to challenge the solution to propose a more efficient one.
• Multi-tasking: ability to accommodate concurrent projects and is self-motivated.

SPECIFIC QUALIFICATIONS (IF REQUIRED)

Skills Referential

Behavioural Skills: (Please select up to 4 skills)

• Ability to synthetize / simplify
• Creativity & Innovation / Problem solving
• Communication skills - oral & written
• Ability to collaborate / Teamwork

Transversal Skills: (Please select up to 5 skills)

• Analytical Ability
• Ability to anticipate business / strategic evolution
• Ability to manage / facilitate a meeting, seminar, committee, training…
• Ability to develop and adapt a process
• Ability to understand, explain and support change

Education Level:

Bachelor Degree or equivalent

Experience Level

At least 10 years

Other/Specific Qualifications (if required)