Senior Data Scientist/AIGen/ML

Esprimo S.r.l.; Town of Italy (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

A leading IT consultancy firm is looking for a Data Scientist with at least 7 years of experience. The role involves developing end-to-end models, monitoring performance, and presenting analytical findings. Candidates should have deep knowledge of Python, machine learning concepts, and experience with data integration and visualization. The firm offers a stimulating environment with excellent growth prospects and a competitive salary based on experience. A CV in English is required.

Qualifications

• 7+ years of experience as a Data Scientist.
• Strong experience with machine learning and deep learning concepts.
• Ability to work collaboratively in a team environment.

Responsibilities

• Develop end-to-end models from data collection to evaluation.
• Monitor models continuously and schedule retraining jobs.
• Present analytical solutions in a clear and effective manner.

Skills

Deep Python knowledge

Advanced analytics and predictive algorithms

Data integration and manipulation

Data cleaning and inspection

Machine learning concepts

Data visualization skills

Post-deployment monitoring

AWS services leveraging

Intelligent agent implementation

Team collaboration

Job description

ESPRIMO Srl, an IT consultancy firm that has been operating since 2002 throughout the national and international territory, supporting businesses, is positioned in the Information Technology sector with the aim of providing a wide range of products, services and solutions in the most strategic areas for the company, such as: IT Infrastructure, Content Management, ERP, Business Intelligence, CRM, Web Applications.

Data Scientist with at least 7 years of experience

The candidate must be able to apply critical and autonomous reasoning to face and frame various kinds of issues, aiming always to efficient, performant and clean solutions.

It is also mandatory to master the entire end-to-end models development process from data collection and preparation to model training, evaluation and presentation.

Finally, produced models must be continuously monitored and observed using model monitoring processes to properly and timely schedule re‑training jobs and constantly ensure model performance and reliability.

Required skills

• Deep Python knowledge for object oriented, scripting and notebook (Jupyter) programming
• Ability to design and implement advanced analytics and predictive algorithms based on machine-generated data
• Integrating and manipulating data from various on‑premise and Cloud (AWS) sources for the development of Data Analytics solutions
• Data cleaning and inspection of timeseries, structured and non‑structured dataset with pandas, scikit‑learn and numpy
• Machine learning and deep learning concepts are required to develop prediction algorithms like LSTMs, RNNs, NNs, Decision Trees and more
• Data visualization and presentation with a linear and clean storytelling adopting Matplotlib, Seaborn and others
• Designing post‑deployments monitoring and re‑training pipelines
• Leverage AWS services (Lambda, SageMaker, RDS) for scalable data processing and modeling
• Implementing intelligent agent based on LLM using AWS Bedrock and/or Copilot Studio
• Collaboration and team working with other Data Scientists, Process Engineers, and DevOps teams

Nice to have

• Background in manufacturing, IoT, or industrial process automation – Familiarity with containerized environments (Docker, Kubernetes)

CV in English required

We offer a position in a stimulating and innovative environment, with excellent professional growth prospects and a salary commensurate with experience.

Resumes that match the profile of the open position are requested; only those who meet the above requirements will be considered.

The position is open to both genders (Law 903/77).

Please send a detailed resume, with authorization to process personal data in accordance with Law 196/2003.

Bologna, Emilia-Romagna, Italy (3 weeks ago)