As a Data Scientist at NStarX, you will play a key role in analysing large datasets, developing predictive models, and providing actionable insights that drive business decisions. You will collaborate with cross-functional teams to identify trends, build data-driven strategies, and contribute to the continuous improvement of our data processes.
Responsibilities
- Collect, process, and analyse large datasets to identify trends, patterns, and insights that inform business strategies.
- Develop and deploy predictive models using statistical, machine learning, and deep learning techniques.
- Work closely with stakeholders to understand their data needs and translate business requirements into analytical solutions.
- Build and maintain data pipelines to ensure data quality and accessibility for analysis.
- Perform exploratory data analysis (EDA) to uncover key insights and guide decision-making.
- Present findings and recommendations to both technical and non-technical audiences through reports, dashboards, and presentations.
- Collaborate with data engineers and software developers to integrate analytical solutions into production systems.
- Stay current with the latest developments in data science and machine learning and apply new techniques as appropriate.
- Contribute to the development and implementation of best practices for data analysis, modelling, and reporting.
Requirements
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
- At least 3 years of professional experience in data science or a related role.
- Proficiency in programming languages such as Python or R.
- Strong knowledge of statistical analysis, machine learning algorithms, and data visualisation tools.
- Experience with data manipulation and analysis using libraries such as Pandas, NumPy, and Scikit-learn.
- Familiarity with data visualisation tools such as Tableau, Power BI, or Matplotlib.
- Experience with SQL and NoSQL databases for data extraction and manipulation.
- Understanding of cloud platforms like AWS, Azure, or Google Cloud is a plus.
- Strong problem-solving skills and the ability to work independently and in a team.
- Excellent communication skills, with the ability to convey complex technical concepts to a non-technical audience.
- Detail-oriented with a focus on delivering high-quality, accurate work.
- Experience with big data technologies such as Hadoop, Spark, or Kafka.
- Knowledge of deep learning frameworks like TensorFlow or PyTorch.
- Experience with A/B testing and experimental design.
- Familiarity with version control systems such as Git.
This job was posted by Younus Shaik from NStarX.
