Your role and responsibilities
Lead Data Science Engineer, IBM Corporation, Dallas, TX:
- Lead end-to-end data science engineering projects, leveraging machine learning, big data pipelines, and generative AI (Artificial Intelligence) to solve business problems.
- Deliver key insights from business impact and statistical analysis to executive leadership, providing strategic guidance and actionable recommendations that drive business strategy and inform decision-making.
- Present complex technical findings and insights to both technical and non-technical stakeholders, translating data analysis into clear, actionable recommendations that inform business decisions.
- Collaborate closely with both internal teams, including data engineers, software engineers, product managers, and external suppliers, to integrate solutions into production systems and ensure alignment with business objectives.
- Manage agile development processes and ensure clear communication and collaboration between technical and non-technical stakeholders.
- Oversee project timelines and deadlines, driving timely delivery while ensuring continuous improvement throughout the development cycle.
- Architect and design scalable data pipelines to support machine learning workflows, ensuring high data quality, accessibility, and optimization for analysis.
- Evaluate emerging trends, techniques, and technologies in data science, machine learning, and artificial intelligence to ensure the team is using state-of-the-art methods and tools.
- Utilize: Python, SQL, Apache Spark, Apache Kafka, Machine Learning Frameworks, Application Architect, Project Management.
Required: Bachelor's degree or equivalent in Computer Science, Mathematics, Software Engineering or related and two (2) years of experience as a Data Engineer or related. Two (2) years of experience must include utilizing Python, SQL, Apache Spark, Apache Kafka, Machine Learning Frameworks, Application Architect, Project Management. $209458 - $230000 per year. Full time. H257.
Required education
Bachelor's Degree
Required technical and professional expertise
Bachelor's degree or equivalent in Computer Science, Mathematics, Software Engineering or related and two (2) years of experience as a Data Engineer or related. Two (2) years of experience must include utilizing Python, SQL, Apache Spark, Apache Kafka, Machine Learning Frameworks, Application Architect, Project Management.
YOUR LIFE @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBMIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
OTHER RELEVANT JOB DETAILSIBM 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
We consider qualified applicants with criminal histories, consistent with applicable law.
This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.
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