RSA - Data Scientist 2

RSA provides trusted identity and access management for 12,000 organizations around the world, managing 25 million enterprise identities and providing secure, convenient access to millions of users. RSA specializes in empowering security-first organizations in financial services, healthcare, energy, technology services, and other industries to thrive in a digital world, delivering complete capabilities for modern authentication, access, lifecycle management, and identity governance. Whether in the cloud or on-premises, RSA connects people with the digital resources they depend on everywhere they live, work, and play.

We are seeking a skilled Data Scientist with 3-5 years of experience to join our team. In this role, you will be responsible for building, maintaining, and optimizing our data pipelines and architectures. You will work closely with our data science, analytics, and product teams to ensure efficient data flow, enabling insights and decision-making across the organization.

Key Responsibilities:

• Design, implement, and maintain scalable data pipelines to support business needs by implementing best practices.
• Optimize and manage data flow and collection processes across various sources.
• Monitor data quality and work to resolve issues promptly.
• Execute all the phases of a data science project including business problem understanding, data collection, exploratory analysis, and modeling.
• Building, maintaining, and optimizing our data pipelines and architectures.
• Working closely with our data science, analytics, and product teams to ensure efficient data flow, enabling insights and decision-making across the organization.
• Execute all the phases of a data science project including business problem understanding, data collection, exploratory analysis, and modeling.
• Demonstrate a solid understanding of the company’s industry and what business problems are important to solve for the business.
• Being able to determine new ways the business should be leveraging its data. 

Essential Requirements:

• Bachelor’s degree in Computer Science or relevant field.
• 3+ years of experience as a Data Scientist, Data Engineer or related fields.
• Familiarity with cloud platforms like AWS, GCP, or Azure and cloud-based data solutions.
• Hands on experience with at least one of the following programming languages Python, Java, or R.
• Hands on experience with SQL, NoSQL
• Hands on experience d3.js, Matplottlib, Tableau or PowerBI
• Familiarity with machine learning frameworks such as TensorFlow, Keras, etc... and techniques such as supervised machine learning, decision trees, logistic regression etc...
• Familiarity with Big Data technologies Hadoop, Apache Spark, etc.…
• Excellent Communication skills and story teller, clearly and fluently translate technical findings to a non-technical team.
• Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) is a plus.
• Knowledge of data modeling, data warehousing concepts, and data pipeline architecture.

RSA is committed to the principle of equal employment opportunity for all employees and applicants for employment and to providing employees with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, and any other category protected by applicable country law.

If you need a reasonable accommodation during the application process, please contact the RSA Talent Acquisition Team at rsa.global.talent.acquisition@rsa.com. RSA and its approved consultants will never ask you for a fee to process or consider your application for a career with RSA. RSA reserves the right to amend or withdraw any job posting at any time, including prior to the advertised closing date.