Senior Data Scientist (Ref:qPmv5)

An exciting opportunity to join our client's team at a

fast-growing digital product engineering company

with a global presence in 33 countries and over 19,000 experts. The company builds products, services, and experiences that inspire, excite, and delight. We are looking for a

Senior Data Scientist

to join this global organization.

Objectives

We are seeking a Senior Data Scientist to lead data-driven projects that drive strategic decisions and innovation. You will work closely with a team of data professionals to build and deploy advanced statistical models and machine learning solutions aligned with business goals.

Responsibilities

• The Data Scientist plays a pivotal role in driving data-driven decision-making and innovation.
• This position is responsible for working with a small team of data professionals, guiding them in the development and implementation of advanced statistical models and machine learning algorithms.
• They participate in data science projects from inception to completion, ensuring alignment with business objectives and timely delivery.
• This position provides an impact by leveraging data and analytical tools, strategic thinking, and hypothesis-based analysis on machine learning (ML)-based projects.
• The senior data scientist is responsible for modeling complex business problems through statistical, algorithmic, mining, and visualization techniques.
• By fostering collaboration across departments and communicating insights to stakeholders, the Senior Data Scientist will contribute to the strategic vision and growth of the organization, while also promoting a culture of continuous improvement, curiosity, ownership and data practices

Qualifications

• At least 5\+ years of relevant project experience in successfully launching, planning, and executing data science projects, including statistical analysis, data engineering, and data visualization
• Proven experience in conducting statistical analysis and building models with advanced scripting languages
• Experience leading projects that apply ML and data science to business functions
• Specialization in text analytics, image recognition, graph analysis, or other specialized ML techniques, such as deep learning, is preferred
• Fluency in multiple programming languages and statistical analysis tools such as Python, PySpark, C\+\+, JavaScript, R, SAS, Excel, SQL
• Knowledge of distributed data/computing tools such as MapReduce, Hadoop, Hive, or Kafka
• Knowledge of statistical and data mining techniques such as generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN)
• Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models
• Ability to communicate complex projects, models, and results to a diverse audience with a wide range of understanding
• Ability to work in diverse, cross-functional teams in a dynamic business environment
• Superior presentation skills, including storytelling and other techniques to guide and inspire
• Familiarity with big data, versioning, and cloud technologies such as Apache Spark, Azure Data Lake Storage, Git, Jupyter Notebooks, Azure Machine Learning, and Azure Databricks.
• Familiarity with data visualization tools (Power BI experience preferred).
• Knowledge of database systems and SQL.
• Strong communication and collaboration abilities.
• Education: Bachelors Field: Information Technology, Data Management, Data Analytics, Business, Supply Chain, Operations Experience: Type: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field

What our client is offering

• Access to private medical services through Regina Maria.
• Sports benefit: Wellbeing Initiatives related to Sport through 7Card, wellbeing workshops and participation in sports events.
• Referral bonus through our BYOB program (Bring Your Own Buddy).
• Enjoy free access to Bookster.
• Access to legal assistance and counseling services.
• Lunch tickets.
• Vacation time: 23 days with a plan to increase your annual vacation days based on time spent in company.
• Access to e-learning platforms and various training programs.
• Access to highly skilled experts to bring you the latest in learning and development with training in leadership, technical and personal development.
• A flexible working environment.
• A competitive remuneration and attractive benefits.
• Opportunity to work with Top Clients on important projects
• Continuous learning and improvement activities
• Dynamic, international working environment.

Equal Opportunity Employer

RSight® is an equal opportunity employer and values diversity in the workplace. We encourage all qualified individuals, including those from diverse backgrounds and people with disabilities, to apply.

Application Instructions

Please submit your resume (mandatory) outlining your qualifications and interest in the position. Only candidates selected for interviews will be contacted.