Staff Data Scientist at Flatiron Construction Corp

, , India -

Full Time

Start Date

Immediate

Expiry Date

31 May, 26

Salary

0.0

Posted On

02 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, TensorFlow, PyTorch, Scikit-learn, SQL, Airflow, Dataflow, Kubeflow, MLOps, CI/CD, Spark, Hadoop, Tableau, Power BI, Matplotlib, GCP

Industry

Description

Role Overview Lead the design, development, and deployment of advanced machine learning and AI systems that drive measurable business impact. As a senior technical leader, you will define strategy, guide teams, and architect scalable, production-ready models that power innovation across the organization. Key Responsibilities • Strategic Leadership: Define and execute the company’s data science and AI roadmap. Provide direction on model development, deployment, and long-term AI capability building. • Model Development: Architect and deliver predictive, generative, and prescriptive models using advanced machine learning and deep learning techniques. • AI Platform Engineering: Oversee end-to-end ML pipelines, from data collection and preprocessing to deployment and monitoring in production environments. • Data Architecture: Ensure data integrity, scalability, and reproducibility across large and complex datasets. • Mentorship: Build and mentor a high-performing team of data scientists and ML engineers. Promote best practices in experimentation, validation, and continuous learning. • Innovation: Explore and apply emerging AI methods such as large language models (LLMs), multimodal learning, and reinforcement learning to real-world business problems. • Stakeholder Engagement: Present analytical insights and model outcomes clearly and persuasively to technical and executive audiences. Qualifications • Education: Master’s or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field. • Experience: 10+ years in data science, AI, or applied ML, including 3+ years in a senior or staff-level role leading impactful, production-level AI initiatives. Required Technical Skills • Expert proficiency in Python and frameworks such as TensorFlow, PyTorch, and scikit-learn. • Strong foundation in statistical modeling, feature engineering, and end-to-end ML pipeline design. • Proficiency in SQL and experience with data pipeline orchestration (Airflow, Dataflow, Kubeflow). • Deep understanding of MLOps, including CI/CD for ML, model serving, and monitoring. • Familiarity with big data technologies (Spark, Hadoop) and data visualization tools (Tableau, Power BI, Matplotlib). • Preference for experience or certification with Google Cloud Platform (GCP), including BigQuery, Vertex AI, and Dataflow. ✔ Fully remote & flexible work culture ✔ Competitive compensation & benefits ✔ Career growth and learning opportunities ✔ Collaborative, innovative, and fast-growing environment

Responsibilities

The role involves leading the design, development, and deployment of advanced machine learning and AI systems to drive measurable business impact. This includes defining the AI roadmap, architecting production-ready models, and overseeing end-to-end ML pipelines.