Data Scientist

Key Skills

C++, Chatbot, Cloud computing, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, GoLang, Helm, Machine learning techniques, Node.js, Python Programming, React.js, Speech to Text, Terraform

Job Description

As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities

The Data Scientist will be responsible for data management, visibility, and optimization activities. The position requires both technical and non-technical skills to contribute to tasks that include data engineering, data science, client and partner interface, technical writing, presentation, and agile development.

In this role, you’ll work in our IBM Client Innovation Center (CIC), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world.? These centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

The Data Scientist’s job duties will include:

• Developing analytics and machine learning models;
• Write production ready code in Python to build, develop and deploy machine learning models, Do data exploration, analysis, what-if analysis, model comparison, defect resolutions
• Make presentations to users, managers, and executives that explain and persuade

The IBM Services Center is an in-bound delivery model where we support our clients from our Monroe, LA center. However, some travel is expected and all candidates must be willing and able to travel to meet our client needs across the US. Travel is typically related to knowledge transfer and training at the client site (Monday thru Friday). You are expected to travel approximately 50% of the time. If selected for this position, you will be required to relocate to the state of LOUISIANA within 30 days of starting with IBM.

Required Technical and Professional Expertise

• 3+ years experience with Data and computer science, mathematics, machine learning
• Experience with Python programming
• Experience with Analytics Visualization (charts, graphs, heat maps using Python, R)
• Experience with machine learning technologies in Python such as: Keras; tensorflow; spaCy; or nltk
• Experience with Cloud Technology such as IBM Cloud/AWS/Azure/RedHat OpenShift

Preferred Technical and Professional Expertise

• Familiarity with reading/understanding Golang, C++
• Experience with any Chatbot, STT (Speech to Text) technologies
• Knowledge of javascript such as NodeJS or ReactJS
• Understanding of CICD technologies such as Helm or Terraform.

Travel Required:Up to 60% or 3 days a week (home on weekends – based on project requirements)

Projected Minimum Salary:$74,560.00 per year

Projected Maximum Salary:$102,520.00 per year

IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:

– Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being

– Financial programs such as 401(k), the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs

– Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law

– Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals

– Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

We consider qualified applicants with criminal histories, consistent with applicable law.