Data Scientist
As a Data Scientist for the SAS Innovation Lab in San Francisco, CA, you'll supply both business and technical acumen for analytical pre-sales and enablement activities, particularly focused on emerging technology providers.
You'll be responsible for end-to-end AI applications and delivering workshops, hackathons, software demonstrations, proof-of-concepts, and presentations to a wide range of audiences. In this role, you'll work closely with product management, global enablement and delivery teams, partners, and R & D resources to define technology directions based on market demands. You should have the capability to represent the entire SAS analytics suite of products and solutions.
What you'll do
- Understand detailed customer requirements and how SAS can achieve them
- Become proficient with the use of SAS analytics software portfolio
- Build a trusted relationship with team members at all levels
- Assist with scoping and defining work effort for client POCs
- Foster relationships with client personnel at project and stakeholder levels
- Identify enterprise-wide view of gaps and identify opportunities to leverage software technologies to eliminate those gaps
- Communicate SAS’ functional and technical differentiators
- Present and demonstrate SAS technology to executive-level audiences
What we're looking for
- Master's degree in a Quantitative Field (Physics, Math, Statistics, Operations Research, Engineering, Computer Science, etc) with extensive knowledge in the application of statistics.
- At least five years’ experience applying relevant machine learning and data modelling techniques used in supervised problems such as decision trees, Random Forests, Gradient boosted machines, linear/logistic regression, deep learning or unsupervised problems such as clustering and dimensionality reduction in at least one statistical tool/language (SAS, R, Python, etc.)
- Ability to interpret business requirements, translate into data science problems and deliver high value outputs.
- Ability to execute a data science project from start to finish with customer requirements in mind.
- Ability to communicate with people with various technical backgrounds, think analytically, write and edit technical material, and relate statistical concepts and applications to statistical and non-statistical users.
- Ability to Travel (domestic and international) as business requirements dictate at management discretion.
- Ability to work from the SAS Innovation Lab in San Francisco, CA
Other knowledge, skills, and abilities
- Programming script skills – e.g. shell, Python, and SAS
- Strong knowledge of applied statistics, probability, data modeling techniques, predictive modeling techniques
- Experience with Deep Learning, Artificial Intelligence, Analytics for Event Stream Processing, or Decision Management software
- Familiarity with software tools and libraries for data manipulation
- Strong customer presentation, demonstration, public speaking, and interaction skills
- Ability to communicate with people of various technical backgrounds, think analytically, write and edit technical material, and relate statistical concepts and applications to statistical and non-statistical SAS users.
- Strong problem solving, organizational, decision-making skills
- Clear understanding of sales strategies and cycles
- Ability to work effectively within a team and work independently
- Ability to work with software engineers and technical architects to put models into production
- Experience working across industries including but not limited to retail, financial services, communications, high tech, manufacturing and healthcare
Why SAS
- We love living the #SASlife and believe that happy, healthy people have a passion for life, and bring that energy to work. No matter what your specialty or where you are in the world, your unique contributions will make a difference.
- Our multi-dimensional culture blends our different backgrounds, experiences, and perspectives. Here, it isn’t about fitting into our culture, it’s about adding to it - and we can’t wait to see what you’ll bring.
Additional Information
SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. Read more: Equal Employment Opportunity is the Law. Also view the supplement EEO is the Law, and the notice Pay Transparency. Equivalent combination of education, training and experience may be considered in place of the above qualifications. The level of this position will be determined based on the applicant's education, skills and experience. Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.