Job Description:

Job Title: Senior Data Scientist – AI & Automation
Job Summary:
We are seeking a highly skilled and experienced Senior Data Scientist to lead and drive the development of cutting-edge
AI solutions and manage innovative projects within our organization. This role requires a forward-thinking individual who
can handle the end-to-end lifecycle of AI projects, from ideation to deployment, while also delivering rapid Proof of
Concepts (POCs) under our Innovation Program. The ideal candidate will have a strong background in data science,
machine learning, and artificial intelligence, combined with the ability to work in fast-paced, dynamic environments.
Key Responsibilities:
1. AI Project Leadership: - Lead the design, development, and deployment of AI and machine learning models to solve business challenges and
drive innovation. - Manage the lifecycle of AI projects, including data collection, preprocessing, modeling, evaluation, and deployment. - Collaborate with cross-functional teams to integrate AI solutions into business processes.
2. Rapid POC Development: - Develop quick Proof of Concepts (POCs) to test new ideas and demonstrate the feasibility of innovative AI solutions. - Identify and prioritize high-impact use cases for AI and machine learning within the organization. - Deliver POCs with agility, balancing speed and quality to meet tight deadlines.
3. Innovation Program Contribution: - Actively contribute to the organization’s Innovation Program by exploring emerging technologies, frameworks, and
methodologies. - Stay updated on the latest advancements in AI/ML and proactively identify opportunities to apply them. - Foster a culture of innovation by mentoring team members and sharing knowledge.
4. Data Management & Analysis: - Handle, process, and analyze large-scale structured and unstructured datasets to derive actionable insights. - Ensure data quality, integrity, and security throughout the project lifecycle.
5. Collaboration & Communication: - Work closely with stakeholders to understand business needs, define project goals, and deliver impactful solutions. - Present findings, insights, and recommendations to technical and non-technical audiences, including senior leadership. - Collaborate with engineers, product managers, and other data scientists to ensure seamless integration of AI solutions.
6. Technical Leadership: - Provide technical guidance and mentorship to junior data scientists and team members. - Establish best practices for AI/ML development, deployment, and monitoring. - Drive continuous improvement in tools, processes, and methodologies.
Required Skills and Qualifications: - Master’s or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field. - 5+ years of experience in data science, machine learning, and AI development. - Proven track record of successfully delivering AI/ML projects from concept to deployment. - Strong programming skills in Python, R, or similar languages, with expertise in libraries such as TensorFlow, PyTorch,
Scikit-learn, etc. - Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). - Proficiency in working with big data technologies (e.g., Hadoop, Spark) and databases (SQL, NoSQL). - Strong understanding of machine learning algorithms, deep learning architectures, and natural language processing
(NLP).
TechnipEnergies | General | Anyone - No Protection- Experience with MLOps practices, including model deployment, monitoring, and retraining. - Ability to work in agile environments and manage multiple projects simultaneously. - Excellent problem-solving, analytical, and critical-thinking skills. - Strong communication and presentation skills, with the ability to translate complex technical concepts into business
value.
Preferred Qualifications: - Experience in developing and scaling AI solutions for real-world applications. - Knowledge of emerging AI trends such as generative AI, reinforcement learning, and explainable AI. - Experience in working within an innovation-driven environment. - Familiarity with design thinking and rapid prototyping methodologies.