Data Analytics

**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 will you do?**
- Propose solutions and strategies to tackle business challenges.
- Contribute to the design of the technical solution chosen to collect, analyze data, and display the results obtained.
- Manage a project from A to Z
- Analyze large amounts of information to find patterns and solutions.
- Data mining or extracting usable data from valuable data sources.
- Carry out preprocessing of structured and unstructured data
- Enhance data collection procedures to include all relevant information for developing analytic systems.
- Develop prediction systems and machine learning algorithms
- Present results in a clear manner
- Processing, cleansing, and validating the integrity of data to be used for analysis.
- Assist the IT teams in all phases of the production, maintenance, and update of the models developed.
- Provide internal training to new joiners when needed.
- Support the Team Lead/Manager regarding client relationships, business development, and internal projects.

**Requirements**:
**Who are you?**

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

**TECHNICAL SKILLS**
- Proven hands-on experience in Python programming language coupled with additional languages experience if possible (e.g. SAS, R, Javascript)
- Strong skills in Statistics & Machine Learning such as regressions, Clustering techniques, Time Series techniques, Bagging & boosting trees, Ensemble models, Neural networks
- Exposure to BI/Data visualization platforms such as Power BI, Tableau, Looker, QlikView
- 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 large data sets both structured and unstructured data: Snowflake, SQL and relational databases, data warehouse, data lake
- Exposure to NoSQL databases, such as HBase, Cassandra, MongoDB
- 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, and IBM Cloud.
- Experience in building robust data pipelines using ETL techniques and frameworks, such as Flume
- Experience to work with large volumes 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**
- Can step back, analyze problems, find solutions and the drive to implement these. Good management skills with a track record of coordinating workflow and assuring quality with a strong ability to multitask.
- Can 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

**Benefits**

**What we offer**
- A competitive salary
- A great working environment
- A steep learning curve with interesting and diverse topics to work on
- 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, training 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.