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Data Scientist AI

Role overview

Qualifications

  • Degree in Data Science, Mathematics, Computer Science, Engineering or a related field
  • Several years of experience in data science, machine learning or applied analytics
  • Strong programming skills, especially Python and SQL
  • Experience with machine learning and statistical modeling

Responsibilities

  • Develop and implement data science and AI models for industrial use cases
  • Translate business problems into analytical approaches and practical solutions
  • Perform data exploration, data preparation and feature engineering
  • Work closely with Data Engineers to ensure data availability and usability

About the company

Sales Consulting logo

Sales Consulting

Professional Training & Coaching

SALES CONSULTING is on Human Resources Consultancy market since 1998. It has national coverage on four areas of expertise: recruitment and selection, personnel leasing, assessment center and consultancy. Sales Consulting is specialized in recruitment and selection, personnel leasing, assessment center and consultancy for various industries: IT&C, automotive, outsourcing, pharma, banking, FMCG, etc. For details regarding our work, you may access: www.salesconsulting.ro

Company details

IndustryProfessional Training & Coaching
Company size51 - 200

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Job description

This position focuses on developing advanced analytics and AI solutions that create measurable business impact across the organization. The person will work on real-world industrial use cases, especially in areas such as manufacturing, engineering and operations, translating business challenges into data-driven solutions and models that support decision-making, process optimization and new capabilities.

Role description:

• Develop and implement data science and AI models for industrial use cases

• Translate business problems into analytical approaches and practical solutions

• Perform data exploration, data preparation and feature engineering

• Work closely with Data Engineers to ensure data availability and usability

• Collaborate with business stakeholders to understand needs and ensure business relevance

• Support the deployment of models into production environments

• Monitor and improve model performance over time

• Contribute to the development of scalable AI capabilities and best practices

• Communicate results, insights and recommendations in a clear and business-oriented way

• Support decision-making, process optimization and the development of new business capabilities through data and AI solutions

Qualifications:

• Degree in Data Science, Mathematics, Computer Science, Engineering or a related field

• Several years of experience in data science, machine learning or applied analytics

• Strong programming skills, especially Python and SQL

• Experience with machine learning and statistical modeling

• Familiarity with industrial or operational data is considered a strong advantage

• Experience with model deployment and MLOps concepts is beneficial

• Strong analytical and problem-solving skills

• Ability to work effectively in cross-functional teams

• Strong communication skills and good business understanding

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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