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Job Description
Introduction:
We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. The ideal candidate will have a passion for solving complex problems working with large datasets and applying advanced analytics techniques to help drive business decisions. As a Data Scientist you will be responsible for using datadriven insights to enhance business processes optimize product performance and identify opportunities for growth.
Responsibilities:
- Analyze large and complex data sets to identify trends patterns and insights.
- Develop and implement machine learning models to solve business problems.
- Collaborate with crossfunctional teams to understand business requirements and deliver actionable insights.
- Conduct exploratory data analysis (EDA) and feature engineering.
- Create predictive models and leverage statistical techniques to improve decisionmaking.
- Communicate results to both technical and nontechnical stakeholders in a clear and concise manner.
- Develop and automate data pipelines to ensure efficient and scalable data processing.
- Perform A/B testing and statistical analysis to assess the impact of business strategies.
- Maintain and update dashboards and reports for stakeholders.
- Stay uptodate with the latest developments in data science machine learning and artificial intelligence.
Required Skills:
- Strong experience with programming languages such as Python R or SQL.
- Expertise in machine learning techniques including supervised and unsupervised learning and deep learning frameworks.
- Experience with latest data science techniques such as Gen AI agentic AI etc.
- Familiarity with data visualization tools (e.g. Tableau Power BI Matplotlib Seaborn).
- Proficiency in working with large datasets and cloudbased technologies (e.g. AWS Azure Google Cloud).
- Experience with data wrangling data cleaning and feature engineering.
- Solid understanding of statistics probability and mathematical concepts.
- Ability to work with big data tools such as Hadoop Spark or similar frameworks.
- Excellent problemsolving skills and the ability to think critically and analytically.
- Strong communication skills with the ability to explain complex concepts to nontechnical stakeholders.
Preferred Qualifications:
- Masters or PhD in Computer Science Data Science Statistics Mathematics or related fields.
- Experience with deep learning frameworks such as TensorFlow Keras or PyTorch.
- Experience in natural language processing (NLP) or computer vision.
- Knowledge of data governance data privacy and ethical considerations in data science.
- Experience in business intelligence analytics or industryspecific solutions (e.g. finance healthcare retail).
Benefits:
- Competitive salary and performancebased bonuses.
- Comprehensive health benefits package.
- Retirement savings plan with employer contribution.
- Opportunities for professional development and training.
- Flexible work hours and remote working options.
- Collaborative inclusive and innovative company culture.
Required Experience:
Manager
Employment Type
Full-Time
