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Director - Data Science & ML Engineering @ Oracle

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 Director - Data Science & ML Engineering

Job Description

    At Salesforce, we're not just leading with technology, we're inspiring the future of business with AI + Data + CRM. As a Customer Company, we help businesses blaze new trails and build meaningful connections. If you're passionate about driving change and innovating at scale, this is your opportunity! We're Hiring: Director, Data Science & ML Engineering - Marketing AI/ML Algorithms. As part of the Marketing AI/ML Algorithms team, you'll play a pivotal role in driving AI-powered marketing initiatives. We're seeking an experienced leader in data science, data engineering, and machine learning (ML) engineering to help us shape the future of marketing at Salesforce. With your expertise, youll lead global teams and build cutting-edge AI/ML solutions to optimize marketing efforts and customer experiences at scale. What Youll Do: Lead & Innovate: Manage data scientists, data engineers, and ML engineers to develop and deploy AI/ML models, pipelines, and algorithms at scale. Transform Marketing: Design and deliver ML algorithms and statistical models to enhance marketing strategies and personalized customer experiences. Drive Full Lifecycle Development: From ideation and data exploration to deployment, monitor, and optimize AI/ML models in production. Engineer Excellence: Oversee the development of scalable data pipelines, integrating data from various sources and leveraging advanced platforms like Snowflake and AWS. Optimize for Impact: Create a culture of innovation and excellence while ensuring reliable delivery of AI/ML solutions to meet business needs. Lead by Example: Inspire creativity, innovation, and high performance while building a strong technical team that thrives on collaboration. What Youll Bring: Advanced Expertise: 15-20+ years in data science and machine learning, with a deep understanding of algorithms, including deep learning, regression models, and neural networks. Leadership Excellence: 8-10+ years of experience managing high-performing teams and large-scale AI/ML projects. A track record of driving talent recruitment and retention in technical teams. Tech Mastery: Proficient in SQL, Python, Java, PySpark, and experienced with Snowflake, AWS SageMaker, DBT, and Airflow. Scalability & Efficiency: Experience building fault-tolerant, high-performing data pipelines and ensuring seamless AI/ML algorithm execution in production. Strategic Thinker: Strong communicator who simplifies complex problems and develops impactful, creative solutions. Bonus Points: Experience with Salesforce products and B2B customer data is a plus! Why Salesforce Work in a dynamic, values-driven environment where AI-powered innovation is at the heart of everything we do. Collaborate with industry leaders on projects that drive real business transformation. Unlock career growth opportunities and help shape the future of AI and marketing at one of the world's most trusted companies. Are You Ready to Join Us If youre passionate about AI, machine learning, and creating cutting-edge solutions at scale, this is your chance to make an impact. Apply now to be a part of our Trailblazer journey at Salesforce! Lets shape the future of business together.,

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Director - Data Science & ML Engineering

Contact Details:

Company: Salesforce Inc.
Location(s): Hyderabad

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Keyskills:   Data Science Machine Learning Data Engineering CRM SQL Python Java Snowflake AWS DBT Airflow AI

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Oracle

Company DetailsFooracles