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Senior Data Scientist - Automation and Digital

Technip Energies
Springfield, MO, United States
Full-time

About Technip EnergiesAt Technip Energies, we believe in a better tomorrow and we believe we can make tomorrow better. With approximately 15,000 talented women and men, we are a global and leading engineering and technology company, with a clear vision to accelerate the energy transition.

Designing and delivering added value energy solutions is what we do.Global Business Services IndiaAt Technip Energies, we are continually looking for ways to become more efficient, and ways to improve our quality, customer focus and cost competitiveness.

The Global Business Services (GBS) organization is key to executing this strategy, by standardizing our processes and centralizing our services.

Our Vision : A customer-focused, cost-efficient, innovative, and high performing organization that drives functional excellence.

GBS provide streamlined and consistent services to our internal customers in the domain of Finance and Accounting, Human Resources, Business Functional Support, Procurement and Legal.

Our services fit our global organization and allow us to focus on business strategy and priorities. GBS also maintains continuous improvement plans to enhance our customer-oriented service culture.

About the JobWe are currently seeking a highly skilled and experienced Senior- Data Scientist, with a passion for Gen AI, to join our Automation & Digital team based in Noida India.

Roles and responsibilities include : Develop and implement Gen AI models and algorithms to solve complex business problems.

Design and execute experiments to test and validate Gen AI models and algorithms. Develop and maintain data pipelines and infrastructure to support Gen AI solutions.

Stay up-to-date with the latest advancements in Gen AI and related technologies and apply them to drive innovation and competitive advantage.

Communicate findings and insights to technical and non-technical stakeholders and provide recommendations for action. Mentor junior data scientists, providing guidance and support in their professional development.

Collaborate with cross-functional teams to understand business challenges and objectives, translating complex data into actionable insights.

Stay abreast of industry trends and advancements in data science and machine learning, continuously improving our methodologies and technologies.

About You 3-5 years of full-time work experience as a data scientist A postgraduate degree or PhD in computer science, statistics, or a related subject.

Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch and Keras.

Experience with computer vision libraries such as OpenCV, PIL and scikit-image. Strong understanding of deep learning architectures and algorithms, including CNNs, RNNs and GANs.

Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Strong problem-solving skills and ability to think creatively to develop innovative solutions to complex business problems.

Key skills : Good written and verbal communication skills. Ready to learn and explore. Problem-solving aptitude. Analytical mind.

Personal competencies and qualities required : Professional manner and highly organized Team player Enthusiastic, positive attitude to support a constructive working environment.

Focuses activities on customer business priorities. Zero defect mindset with attention to details Starting Date : ImmediateInternal applications are treated with priority by our Recruiting Team against external applications.

We also consider providing timely and direct feedback to internal applicants a must have. And once receiving your application, Recruiting Team will screen and match your skills, experience, and potential team fit against the role requirements.

We ask for your patience as the team completes the volume of applications with reasonable timeframe. You can check your application progress directly in PeopleConnect Recruiting.

5 days ago
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