Data Scientist

Orange provides your personalized go-to pool of strategy planners, creatives, and technologists for your brand and campaign that aren't part of your daily routine. Strategic managers, content specialists, conceptual creatives, producers, SEO experts, product managers, and others are among the impact players who are held match-fit for your brand.

We are seeking a talented and enthusiastic Data Scientist to join our dynamic company. As a data scientist, you will play a vital role in analyzing complex data sets, developing machine learning models, and providing actionable insights to drive business growth. This position offers an exciting opportunity to contribute to the development and success of our innovative products and services.

What you will do:

• Work with large and complex datasets to extract meaningful insights, identify patterns, and uncover hidden relationships. Apply statistical analysis and data mining techniques to gain actionable insights that support decision-making processes.
• Design, develop, and implement machine learning models, algorithms, and predictive analytics to solve business problems and optimize processes. Collaborate with cross-functional teams to integrate these models into our products and services.
• Data Visualization and Reporting: Create visually appealing and informative data visualizations and reports to communicate findings and insights to both technical and non-technical stakeholders. Present complex concepts and results in a clear and concise manner.
• Experimentation and Optimization: Conduct A/B testing and experimentation to improve algorithms, models, and data-driven processes. Continuously monitor and evaluate model performance and propose enhancements to achieve better accuracy and efficiency.
• Collaborate with product managers, engineers, and other stakeholders to understand business requirements and provide data-driven solutions. Participate in brainstorming sessions and contribute innovative ideas to improve products and services.
• Ensure the accuracy, integrity, and reliability of data used for analysis and modeling. Identify and address data quality issues, inconsistencies, and anomalies.
• Keep up-to-date with the latest advancements in data science, machine learning, and related fields. Attend conferences, workshops, and online courses to enhance your knowledge and skills.

What you will need:

• Bachelor's or Master's degree in a quantitative field such as Mathematics, Data Science, Computer Science, Statistics, or a related discipline.
• Strong proficiency in programming languages such as Python, R, or Java
• Solid understanding of statistical concepts and methodologies.
• Experience with SQL and working with relational databases.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and techniques.
• Knowledge of big data processing frameworks such as Hadoop or Spark is a plus.
• Strong problem-solving skills and the ability to work independently as well as in a team.
• Excellent communication skills to effectively convey complex findings to both technical and non-technical stakeholders.