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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.
Job Responsibility:
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 visualization tools
Experience with data manipulation and analysis using libraries such as Pandas, NumPy, and Scikit-learn
Familiarity with data visualization 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
Nice to have:
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
What we offer:
Competitive salary and comprehensive benefits package
Opportunities for professional growth and career advancement
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