Job Description
We are seeking a highly analytical and innovative Senior Data Scientist to drive data-informed decision-making across our organization. At Nexus Analytics, we believe in the power of data to transform industries. You will have the unique opportunity to work with massive datasets, leveraging cutting-edge machine learning techniques to solve complex business problems.
In this role, you will bridge the gap between technical data analysis and high-level business strategy. You will lead projects from inception to deployment, ensuring our models are not only accurate but also scalable and ethical.
Responsibilities
- Develop, train, and deploy advanced machine learning models (e.g., NLP, Computer Vision, Predictive Analytics) to solve real-world business challenges.
- Perform exploratory data analysis (EDA) to uncover trends, patterns, and anomalies within complex datasets.
- Clean, preprocess, and structure large-scale data sets to ensure high-quality input for modeling pipelines.
- Collaborate closely with cross-functional teams (Product, Engineering, Marketing) to translate business requirements into technical data solutions.
- Present complex findings and model performance metrics to non-technical stakeholders in a clear, actionable manner.
Qualifications
- Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 4+ years of professional experience in data science, machine learning, or a similar analytical role.
- Strong programming skills in Python (Pandas, NumPy, Scikit-learn) and proficiency in SQL.
- Experience with deep learning frameworks (TensorFlow, PyTorch) and big data technologies (Spark, Hadoop).
- Excellent problem-solving skills and the ability to work independently in a fast-paced, agile environment.