Description

Job Description As a Data Scientist, you will be a member of a technical sales agile team to co-develop innovative business solutions with our clients. You will be directly collaborating and impacting the world’s most influential enterprises and brands on the adoption of next-generation platforms. IBM’s comprehensive onboarding program and industry-leading learning culture will prepare you with a strong foundation for client success. Our sales environment is collaborative and experiential. You’ll be surrounded by bright minds and keen co-creators ready to assist as you apply practices that will compel our clients to invest in IBM’s products and services. Your Role and Responsibilities In this role, you’ll be the go-to subject matter expert, collaborating with colleagues from various roles to define solutions and lead the way in how they get built in the age of cloud and AI. This role is hands-on; co-creating using data science, machine learning and programming skills in six-week client engagements. A ‘Day-in-the Life’ of a Data Scientist may include, but not be limited to: Key contributor to a Client Engineering team, partnering with clients to understand business problems and propose solutions. Involvement in the co-creation of rapid proof of concepts and Minimal Viable Solutions that demonstrate business value. Translates business problems into leading-edge analytics solutions using consulting skills, industry expertise and technical knowledge. Delivers meaningful insights and predicts emerging trends to enhance business solutions optimizing client value. Applying data engineering techniques to gather, prepare, cleanse, and transform client data for analysis and AI automation. To be successful in this role, you will need: Confidence to engage new customers and deliver an elevated experience. Motivation to achieve sales, business objectives and high client satisfaction. Strong analytic, problem solving, and troubleshooting skills combined with an agile process. Embrace curiosity and a growth mindset. Opportunities are available in: Atlanta GA, Boston MA, Chicago IL, Dallas TX, New York NY, San Francisco CA, and Washington DC – to name a few. Required Technical and Professional Expertise B.S./M.S. in Computer Science, Data Science, Math, Statistics, Engineering or equivalent technical degree/experience. Working knowledge in Python, R, SQL or language in similar discipline. Demonstrate a growth mindset; current on technical growth in the data science space. Conversant about technology, industry trends and how it is being applied to address business challenges. Professional verbal, written, and interpersonal skills. Proven team collaboration and leadership. Readiness to travel up to 50% annually. Preferred Technical and Professional Expertise Knowledge of data science libraries and frameworks, such as, Jupyter Notebooks, scikit-learn, Pandas, Spark. Specialization in areas such as NLP/NLU, prescriptive analytics and optimization, MLOps, AI solutions, machine vision, and/or data visualization.

Role and Responsibilities

• n this role, you’ll be the go-to subject matter expert, collaborating with colleagues from various roles to define solutions and lead the way in how they get built in the age of cloud and AI. This role is hands-on; co-creating using data science, machine learning and programming skills in six-week client engagements.