Role Overview:
As a Data Scientist at NEXEL, you will play a pivotal role in analyzing complex datasets, building predictive models, and deriving actionable insights to solve challenging business problems. You will work closely with cross-functional teams to identify opportunities for leveraging data and machine learning to drive strategic decision-making and business growth.
Key Responsibilities:
- Lead the development and implementation of advanced analytical models and machine learning algorithms to extract insights and generate predictive analytics.
- Collaborate with stakeholders to define project objectives, requirements, and success criteria, ensuring alignment with business goals.
- Conduct exploratory data analysis to understand data characteristics, identify patterns, and uncover insights that inform model development.
- Design and develop data pipelines and workflows to collect, process, and analyze large volumes of structured and unstructured data.
- Evaluate model performance and conduct rigorous testing and validation to ensure accuracy, reliability, and robustness.
- Communicate findings and recommendations to technical and non-technical stakeholders through clear and compelling visualizations, reports, and presentations.
- Stay abreast of emerging trends and best practices in data science, machine learning, and artificial intelligence, contributing to the advancement of analytical capabilities within the organization.
Qualifications:
- Bachelor’s or master’s degree in computer science, Statistics, Mathematics, Engineering, or a related field.
- Proven experience as a Data Scientist, with a strong track record of developing and deploying machine learning models and algorithms to solve real-world problems.
- Proficiency in programming languages such as Python or R, as well as familiarity with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
- Experience working with big data technologies and platforms (e.g., Hadoop, Spark) and proficiency in SQL for data extraction and manipulation.
- Strong understanding of statistical analysis, machine learning techniques, and experimental design.
- Excellent problem-solving and critical-thinking skills, with the ability to approach complex problems in a structured and analytical manner.
- Excellent communication and collaboration skills, with the ability to effectively convey technical concepts to non-technical audiences.
Why Join Us:
- Opportunity to work with a diverse portfolio of clients and industries, driving meaningful impact through the successful delivery of client projects.
- Collaborative and supportive work environment, where your contributions are valued and recognized.
- Competitive salary and benefits package, including opportunities for professional development and advancement.
