Senior Lead, Data Science

🕒 May 7

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Kyndryl

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2021

🏢 Enterprise

🔒 Cybersecurity

☁️ SaaS

Enterprise • Cybersecurity • SaaS

Kyndryl is a leading IT infrastructure services provider, serving thousands of enterprise customers worldwide. The company specializes in designing, building, managing, and modernizing complex, mission-critical information systems. Kyndryl offers a range of services including IT consulting, cloud services, cybersecurity, data and AI solutions, and digital workplace transformation. With a strong focus on innovation, partnerships, and co-creation, Kyndryl helps businesses tackle IT complexity and drive operational excellence. The company operates across various industries such as automotive, healthcare, banking, and more, providing expertise and solutions to address industry-specific challenges. Kyndryl's global network and strategic alliances empower enterprises to adapt to the evolving technology landscape, ensuring their essential systems are reliable and efficient.

📋 Description

• Build, deploy, and maintain full-stack data science solutions, from data extraction to machine learning model deployment and monitoring. • Partner with the data engineer and data scientist to ensure clean, structured data is available for analysis and predictive modeling. • Design and implement advanced machine learning models, including regression, classification, and clustering techniques, to predict workforce needs and identify skills gaps. • Develop APIs to integrate machine learning models into enterprise applications and workflows, enabling real-time decision-making. • Ensure data integrity, consistency, and accuracy across multiple platforms, working closely with data governance teams to align processes. • Use data visualization tools (e.g., Tableau, Power BI) to translate complex analytical insights into actionable business recommendations for HR, business leaders, and other stakeholders. • Implement optimization algorithms to recommend actions such as hiring, training, or workforce engagement based on model outputs and business constraints. • Continuously track model performance and refine processes for model efficiency and scalability.

🎯 Requirements

• Master’s in Data Science, Computer Science, Statistics, or a related field. • 5-8 years of experience as a data scientist with a focus on full-stack data science, including model building, deployment, and API development. • Proficiency in Python, R, or similar languages for statistical modeling and machine learning. • Experience with big data platforms (e.g., Hadoop, Spark) and cloud services (AWS, Azure, GCP). • Strong SQL skills and familiarity with both relational and NoSQL databases. • Expertise in building and deploying machine learning models (e.g., TensorFlow, PyTorch). • Experience with data visualization tools such as Power BI, Tableau, or similar. • Familiarity with RESTful APIs and integrating machine learning models into business applications. • Strong understanding of optimization algorithms, data architecture, and performance monitoring. • Excellent communication skills to translate technical findings into actionable business insights. • Proficient in English language - verbal and written.

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities • Wellness programs