Manager – Data Scientist-COR029061

About this role

• Develop analytics within well-defined projects to address stakeholders needs and opportunities.
• Work alongside senior-level data scientists, software developers and software engineers to translate algorithms into viable products and services.
• Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
• Perform exploratory and targeted data analyses using descriptive statistics and other methods.
• Work with data engineers on data quality assessment, data cleansing and data analytics
• Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
• Share and discuss findings with team members.
  
  

• Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with basic experience.
• Desired Characteristics
• Demonstrated skill in the use of one or more analytic software tools or languages (e.g., Python, C++, C#, R)
• Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
• Demonstrated skill in the use of applied analytics, descriptive statistics, and predictive analytics on industrial datasets
• Technical Expertise:
• Demonstrated awareness of feature extraction and real-time analytics methods
• Demonstrated awareness of analytic prototyping, analytic scaleup, analytic scaling, and solutions integration
  
  

• Demonstrated awareness of industry and technology trends in data science
• Demonstrated awareness of customer and stakeholder management and business metrics
  
  

• Demonstrated awareness of how to function in a team setting
• Demonstrated awareness of critical thinking and problem solving methods
• Demonstrated awareness of presentation skills
• Demonstrated leadership behaviors - act with humility, lead with transparency, and deliver with focus
  
  

• Communication skills – effective and amicable communication between groups, developers, testers, designers, and users.
• Analytical skills – Good understanding of algorithms and logic that goes behind coding the application.
• Data analytical, thinking, and troubleshooting skills.
• Strong problem solving and project management skills.
• Capability to solve complex technical issues, comprehend risks prior to the circumstance.
• Ability to realize the large picture of the organizational data condition.
• Collaboration and team-orientation.
• Task organization, time management, and project management.
• Creativity, originality, and out of the box thinking capability.