Enterprise Search Senior Data Ai Analyst

hace 4 semanas

Madrid, España Basf Se A tiempo completo

Enterprise Search Senior Data AI Analyst (m/f/d) At BASF Digital Hub Madrid we develop innovative digital solutions for BASF, create new exciting customer experiences and business growth, and drive efficiencies in processes, helping to strengthen BASF´s position as the digital leader in the chemical industry.
We believe the right path is through creativity, trial and error and great people working and learning together.
Become part of our team and develop the future with us - in a global team that embraces diversity and equal opportunities.
RESPONSIBILITIES Extend our agile DevOps team in "Enterprise Search".
Collaborate with business partners and stakeholders to understand their business requirements and align technical solutions with their goals.
Consult and technically design data-driven solutions leveraging latest technologies for search and AI.
Design and maintain data pipelines for data collection, processing and indexation.
Design and support implementation of scalable and robust architectures considering data sources, retrieval and LLMs.
Drive for sustainable solutions based on standards by using code control, using automated testing, performing re-occurring updates of associated libraries and frameworks.
Design and develop AI-driven search applications based on BASF's standard search technology Sinequa.
Monitor and continuously improve existing search applications.
QUALIFICATIONS Master's / bachelor's degree from an accredited college or university is required.
Several years of practical project experience in complex & agile data science projects along the entire project cycle.
Excellent written and verbal English language skills (business fluent / expert).
Team player with strong interpersonal, written and verbal communication skills.
Entrepreneurial spirit and the ability to foster a positive and energized culture.
Excellent judgement.
Able to weigh several and often conflicting constraints and make rapid, logical decisions in a fast-moving company.
A growth mindset with a curiosity to learn and improve.
Minimum 5+ years' experience in working as a Data & AI Analyst.
Programming algorithms and statistical models with Python and/or R and universal programming language (e.g.
C#, Java, C++).
DevOps/MLOps principles and tools.
AI Frameworks (e.g.
PyTorch, Tensorflow).
Big data scenarios and cloud services.
Database technologies, preferably Oracle, otherwise MS SQL, or mySQL.
Knowledge of application lifecycle, change/release management process.
Knowledge of agile methodologies like Scrum or Kanban.
NICE TO HAVE Knowledge in AI license models.
Knowledge in search engine technologies (preferably Sinequa, otherwise Elastic Search, Apache Solr, Apache Lucene, etc.).
Ability to work in a multicultural team spread across the globe.
BENEFITS Responsibility from day one in a challenging work environment and "on-the-job" training as part of a committed team.
Adequate compensation according to your qualifications and experience.
A secure work environment because your health, safety and wellbeing is always our top priority.
Flexible work schedule and Home-office options, so that you can balance your working life and private life.
Learning and development opportunities.
23 holidays per year.
Another 5 days (readjustments days) and 2 days (cultural days).
A collaborative, trustful and innovative work environment.
Being part of an international team and work in global projects.
Relocation assistance to Madrid provided.
At BASF, the chemistry is right.
Because we are counting on innovative solutions, on sustainable actions, and on connected thinking.
And on you.
Become a part of our formula for success and develop the future with us - in a global team that embraces diversity and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.
Discover the world of BASF and develop data solutions for the Chemistry 4.0 era – for a sustainable future.
Help drive the digital transformation of the chemical industry by harnessing the potential of the latest data science technologies and data sources.
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