Offer summary

Qualifications:

7–10 years of experience in data science or advanced analytics., Bachelor’s or Master’s degree in Data Science, Engineering, Statistics, or Computer Science., Strong expertise in Python and ML frameworks like TensorFlow and PyTorch., Proven experience with time series analysis and anomaly detection..

Key responsibilities:

Design and deploy advanced time series forecasting and anomaly detection models.

Develop predictive quality models to optimize production and reduce waste.

Collaborate with cross-functional teams to align models with real-world use cases.

Manage the end-to-end ML lifecycle, including deployment, monitoring, and retraining.

Job description

Job Description

Amaris Consulting is looking for a highly skilled and motivated Senior Data Scientist to join our growing Data Science team. In this role, you will work on impactful projects such as Asset-AI, Manufacturing AI, and Predictive DCC, tackling real-world problems in manufacturing and energy through advanced analytics and machine learning.

Key Responsibilities

Design and deploy advanced time series forecasting and anomaly detection models.
Develop predictive quality models to optimize production and reduce waste.
Collaborate with cross-functional teams to align models with real-world use cases.
Manage the end-to-end ML lifecycle, including deployment, monitoring, and retraining.
Build and automate data pipelines and ETL processes for both streaming and batch data.
Containerize and deploy models using tools like Docker and Kubernetes.
Clearly communicate technical findings to both technical and non-technical stakeholders.

Requirements

7–10 years of experience in data science, advanced analytics, or a related field.
Bachelor’s or Master’s degree in Data Science, Engineering, Statistics, or Computer Science.
Strong expertise in Python, ML frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn), and model deployment.
Proven experience with time series analysis, forecasting, and anomaly detection.
Familiarity with data lakes, database systems, and cloud-based warehousing.
Experience in the manufacturing or energy sectors is highly desirable.
Understanding of IoT, edge computing, or smart factory systems is a plus.
Excellent verbal and written communication skills in English.

What We Offer

Opportunity to work on cutting-edge AI solutions with high business impact.
Collaborative, cross-functional environment with domain experts and tech leaders.
Access to ongoing learning and development in a fast-growing digital ecosystem.

At Amaris, we believe in building a diverse and inclusive team. We welcome applications from all qualified individuals, regardless of gender, race, disability, age, or background. Special consideration will be given to candidates with disabilities.

Apply now and help shape the future of smart manufacturing and energy through data!

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