Data Scientist Lead

About us

Infomineo is a Brainshoring services company, supporting global clients from various geographies and industries across a range of services: Business Research, Business Translation, Graphic Design and Data Analytics.

Infomineo counts +250 employees spread across different offices in the EMEA region and the America's. Our clients include leading Consultancies, Fortune 500 companies, Governments and NGOs.

About this Role

This role will give you the opportunity to deliver high added value data & analytics projects and build high quality and innovative solutions for our clients within a growing service company.

What you will do

• Analyze a project from A to Z with full autonomy being able to create with them a solution end to end to their Data Use Case by showing Problem solving, analytical skills and decision making
• Be the primary contact for our clients, perform and set up QA processes for the team ensuring that requests are verified, reliable and up to the very high client standards
• Manage projects, and coordinates priorities and budget time for each component with the project director
• Serve as a mentor and coach, providing guidance, training, and career development opportunities to the team.
• Teach team members how to approach problems effectively and empower them to replicate these strategies in the future.
• Assist the manager in maintaining client relationships, pursuing business development opportunities, and managing internal projects

Who you are

EDUCATION & PROFESSIONAL EXPERIENCE

• Master's degree in a relevant field such as Computer Science, Machine Learning, Data Science, Statistics, Applied Mathematics, Data Engineering
• Full proficiency in English + 1 Additional language (French, German, Arabic, Spanish, Italian, Portuguese...)
• More than 8 years of technical experience in advanced analytics and data science

TECHNICAL SKILLS

Acquisition & Preparation

• Proven hands-on experience in Big Data environments and languages such as Hadoop, Hortonworks, Cloudera, Spark, Scala, PySpark etc. &Big Data querying tools, such as Pig, Hive, and Impala
• Proven hands-on experience in Python programming language coupled with an additional languages experience if possible (e.g. SAS, R, Javascript)
• Proven hands-on experience in large data sets both structured and unstructured data : Snowflake, SQL and relational databases, data warehouse, data lake
• Experience in NoSQL databases, such as HBase, Cassandra, MongoDB

Analysis

• Strong skills in Analytical concepts such as data correlation, pareto, market-basket analysis, forecasting, creating complex visuals like sunburst, multi-layered maps, etc.
• Strong skills in Statistics & Machine Learning such as regressions, Clustering techniques, Time Series techniques, Bagging & boosting trees, Ensemble models, Neural networks
• Experience in BI/Data visualization platforms such as Power BI, Tableau, Looker, QlikView…

Deployment

• Proven hands-on experience in API integration using Python for extracting data from different sources
• Proven hands-on experience in container technologies – Docker, Kubernetes etc.
• Proven hands-on experience in solutions development & deployment experience in Cloud ecosystems and its associated services AWS, Azure, Google Cloud, IBM Cloud.
• Proven hands-on experience in building robust data pipelines using ETL techniques and frameworks, such as Flume
• Experience in the use of various messaging systems such as Kafka
• Proven hands-on experience to work with large volume of structured and unstructured data and leveraging it to build AI/ML model deployment & monitoring/enhancements for standalone solutions or through end-to-end automated data pipelines

Interpersonal skills

• Ability to step back, analyze problems, find solutions and the drive to implement these.
• Ability to work & collaborate with variety of stakeholders & clients throughout data project lifecycle
• Strong interpersonal skills and organizational skills, high motivation, an attention to detail, flexibility, and ability to cope under stress, a focus on identifying the solutions to problems.
• Strong communication skills & ability to translate complex solutions into business implications and at the same time being able to explain mathematical concepts when required
• Strong management skills with a track record of coordinating workflow and assuring quality with a strong ability to multitask.

Cultural Aspects & Values:

• Intellectually curious person
• Energetic and positive attitude with a willingness to learn
• Self-motivated with a commitment to excellence and high-quality standards
• Someone who is collaborative with different mindsets and who can thrive in a diverse environment
• Proactive to ask for feedback in order to improve outcomes
• High level of integrity
• Solution oriented with a creative mindset

What we offer

• A competitive compensation
• A great working environment
• A steep learning curve with interesting and diverse topics to work on and active training programs
• A healthy work-life balance
• Health insurance Benefits

Equal opportunity employer

Infomineo is an equal opportunity employer, we prohibit any sort of discrimination (based on color, race, sex, sexual orientation, religion, national origin or any other attributes) in all aspects of employment (recruiting, hiring, wages and salary, promotions, benefits, trainings and job termination).

If you believe you match our requirements and values, we would be happy to hear from you. Visit our website to know more about us, our services and company culture.