Would you like to build your career in a fast growing company? If you take pride in what you do then come and join us!

Smartlogiq is a digital enterprise solutions provider delivering innovative solutions to its global client base. Our talented teams of engineers and solutions architects are working on cutting edge fintech, logistics, E-Services and robotics client initiatives across multi-layers of cool tech.

We are aggressively growing our Tunisian centre and we are looking for outstanding talented people to join us.

About the Role

You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets and to ask the right questions and find the right answers.

• Analyze raw data, assessing quality, cleansing, structuring for downstream processing
• Conducting research, experimentation, forward-looking insights, predictive modelling and machine learning algorithm to new and existing business problems
• Building best-in-class machine learning AI forecasting solutions at scale
• Implementing code (Python, R, Scala, etc.) for analyzing data and building statistical models to solve specific business problems
• Working closely with the software engineering teams to bring analytical prototypes and algorithms to production
• Translating analytic insights into concrete and actionable recommendations for business and product improvement
• Creating technical documentations (solutions, architecture, technologies, applied algorithms, etc.)
• Managing and executing entire project from start to finish including problem solving, data gathering, data preparation and manipulation, predictive modelling, and stakeholder engagement

About You

• You would have a Bachelor's degree or higher in quantitative field (Statistics, Mathematics, Computer Science etc.)
• Must have 5+ years commercial experience post graduation in the technologies we seek
• Fluency in programming languages (Python, R, Java & SQL)
• Practice good coding techniques (re-usability of code, code optimized for performance, documentation etc.)
• Strong knowledge of SQL irrespective of the DB flavour
• Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms
• Liaising with various members of the SDLC ecosystem to ensure smooth development to deployment processes
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
• Very good verbal and written English
• You should be apt at problem solving, finding solutions, strong analytical and troubleshooting skills
• You must have a positive attitude, patient, goal seeker, open to improvements
• Great team work, collaborative approach, inquisitive and a good listener

Our Great Working Environment

• Employment will be on a full time permanent employee basis
• Huge opportunities of exposure to exciting technology projects
• You'll work on projects for international clients and collaborating with other team members in our other geographic locations
• Hybrid working model
• Relatively flat team structures
• A very competitive salary
• 22 working days of holidays + public Holidays + birthday
• Generous annual training budget
• Professional & personal career development paths
• Social impact opportunities to contribute to your community
• A modern work environment
• An open, collaborative and inclusive culture with a diverse team atmosphere

Smartlogiq Limited is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how Smartlogiq protects personal information online, please see the Online Privacy Notice.

Recruitment at Smartlogiq works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. Smartlogiq does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.