use of ML techniques BASIC QUALIFICATIONS - 5+ years of data scientist experience - Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) - Experience with statistical models e.g. multinomial logistic regression - Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) - Experience working More ❯
e.g. TSYS, PowerCurve) gained from implementing models in such systems or using them to monitor models and report on outputs Advanced knowledge of at least one programming language, e.g. SAS, R, Python, SQL Experience in independently validating/reviewing or building models Experience of leading a project-based team in a fast-paced environment, including effective resource management, positive More ❯
re curious, passionate, authentic and accountable. These are ourvaluesand influence everything we do. Preferred Qualifications Familiarity building scalable services in a microservices architecture. Familiarity with statistical tools such as SAS, or Python (with NumPy, SciPy, Pandas) Familiarity with public cloud platforms, such as AWS, Azure, or GCP. Strong testing automation experience, preferably in unit frameworks Diverse and Inclusive At … SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up … to the top; and it's essential to who we are. To put it plainly: you are welcome here. 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 More ❯
in developing or validating statistical models in an industry or academic context Highly analytical with a numerate degree or equivalent technical experience Experience in the use of statistical software (SAS and/or Python) to analyse and interpret data Superb data presentation and report writing skills, ideally for a Model Risk Committee or equivalent Ability to work to a More ❯
Business Analyst – Data ( its a BA role with DATA experience) Salary - 75k Permanent role SCOTLAND REMOTE - Being awesome at using data analyst tools like SQL, SAS, Tableau, and Power BI. - Understanding how databases work and having experience finding info in them. - Being able to tackle complex data and find useful insights. - Having top notch problem solving skills for using … to enable delivery of the data initiatives, starting with the development and implementation of a Data Governance framework. Other experience required: • Proficiency in data analyst tools such as SQL, SAS, Tableau and Power BI. • Understanding of database systems and experience in querying databases. • Strong ability to interpret complex datasets and extract actionable insights. • Excellent problem-solving skills to address More ❯
Sr Associate Software Developer - Hybrid At SAS, where you start doesn't have to be where you end; and there is ample opportunity for internal career mobility. Whether you're looking to grow a new skill or experience a new role, there's no time like the present to take the next step; and we're here to support … Products division is looking for a Sr Associate Software Developer to join a team of talented engineers working collaboratively to ideate and deliver a cutting edge, innovative platform enabling SAS's internal stakeholders to use Generative AI in a secure, high-performing, lean, and scalable manner. You will contribute to building a platform used by a diverse set of …/or experience of Generative AI technologies and tooling e.g. OpenAI or other LLMs, PromptFlow, Langchain Understanding of the benefits and pitfalls of GenAI implementation Diverse and Inclusive At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and More ❯
