
Data Scientist
4 weeks ago
Location : Canada, Australia, Europe, UK, UAE, USA, Singapore, Dubai, Germany
Job Description :
We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. You will be responsible for extracting insights from large datasets, building predictive models, and driving data-driven decision-making across the organization. This role requires a combination of technical expertise, business acumen, and strong communication skills to translate complex data into actionable insights.
Responsibilities :
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Design, develop, and deploy machine learning models for predictive and prescriptive analytics.
- Apply advanced statistical techniques to solve business problems.
- Continuously evaluate and improve model performance.
- Create clear and compelling data visualizations to communicate insights to stakeholders.
- Develop dashboards and reports using tools like Tableau, Power BI, or Python libraries Matplotlib, Seaborn.
- Work closely with cross-functional teams, including business analysts, engineers, and product managers, to understand business needs and deliver data driven solutions.
- Translate business problems into analytical frameworks and provide actionable recommendations.
- Utilize big data technologies Hadoop, Spark to process and analyze large datasets.
- Work with cloud platforms AWS, Azure, GCP for data storage, processing, and model deployment.
- Design and implement A/B tests to evaluate the impact of business decisions.
- Analyze experimental results and provide insights to stakeholders.
- Stay up-to-date with the latest advancements in data science, machine learning, and AI.
- Explore new tools, techniques, and algorithms to improve existing processes.
Skills and Qualifications :
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 2 or more years of experience in a data science or analytics role
- Proven track record of building and deploying machine learning models.
- Experience in industries such as e-commerce, finance, healthcare, or technology is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and storytelling abilities to present findings to non-technical stakeholders.
- Ability to work independently and in a team environment.
- Strong attention to detail and organizational skills.
- Proficiency in programming languages such as Python or R.
- Strong knowledge of machine learning frameworks TensorFlow, PyTorch, Scikit-learn.
- Experience with SQL and database management.
- Familiarity with big data tools Hadoop, Spark and cloud platforms AWS, Azure, GCP.
- Expertise in data visualization tools Tableau, Power BI, Matplotlib, Seaborn.
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