Data Scientist
Data Scientist
Posted on :
01-01-2025
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1 Vacancy
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Job Description
This is a remote position.
As a Data Scientist you will play a key role in analyzing complex datasets to identify trends develop predictive models and provide actionable insights. Working closely with crossfunctional teams you will help shape our data strategy apply advanced machine learning techniques and drive business outcomes through data.
Key Responsibilities
- Data Analysis & Modeling: Extract preprocess and analyze large datasets to identify trends patterns and insights. Build and validate statistical machine learning and predictive models to support business objectives.
- Machine Learning & AI Development: Design and implement machine learning algorithms to solve complex business problems. Continuously improve models for scalability and performance.
- Business Insights & Reporting: Translate data findings into actionable recommendations. Present insights to stakeholders using clear visualizations and data storytelling techniques.
- Data Strategy & Governance: Contribute to data quality and governance efforts. Ensure adherence to data privacy and security standards.
- Collaboration & CrossFunctional Support: Work closely with data engineers analysts and product teams to integrate data insights into products and services and support ongoing improvement of data systems and processes.
Requirements
- Education: Bachelor s degree in Data Science Computer Science Statistics or a related field; Master s or Ph.D. preferred.
- Technical Proficiency: Strong expertise in Python or R SQL and experience with machine learning libraries (e.g. ScikitLearn TensorFlow PyTorch).
- Experience with Data Visualization Tools: Proficiency in tools such as Tableau Power BI or similar to convey insights effectively.
- Machine Learning & Statistical Skills: Indepth knowledge of statistical modeling machine learning algorithms predictive analytics and A/B testing.
- Data Engineering Knowledge: Familiarity with data pipelines ETL processes and tools (e.g. Spark Hadoop) is a plus.
- ProblemSolving & Analytical Mindset: Ability to frame complex business challenges in analytical terms and find datadriven solutions.
- Communication Skills: Excellent written and verbal communication skills with the ability to simplify complex technical information for nontechnical audiences.
Preferred Qualifications
- Experience with cloud platforms (AWS GCP or Azure) for data processing and model deployment.
- Knowledge of big data technologies and frameworks.
- Familiarity with natural language processing computer vision or other advanced AI applications.
Technical Proficiency: Strong expertise in Python or R, SQL, and experience with machine learning libraries (e.g., Scikit-Learn, TensorFlow, PyTorch). Experience with Data Visualization Tools: Proficiency in tools such as Tableau, Power BI, or similar to convey insights effectively. Machine Learning & Statistical Skills: In-depth knowledge of statistical modeling, machine learning algorithms, predictive analytics, and A/B testing. Data Engineering Knowledge: Familiarity with data pipelines, ETL processes, and tools (e.g., Spark, Hadoop) is a plus. Problem-Solving & Analytical Mindset: Ability to frame complex business challenges in analytical terms and find data-driven solutions. Communication Skills: Excellent written and verbal communication skills, with the ability to simplify complex technical information for non-technical audiences. Preferred Qualifications Experience with cloud platforms (AWS, GCP, or Azure) for data processing and model deployment. Knowledge of big data technologies and frameworks. Familiarity with natural language processing, computer vision, or other advanced AI applications.
Education
Bachelor s degree in Data Science, Computer Science, Statistics, or a related field; Master s or Ph.D. preferred.
Employment Type
Full Time
Key Skills
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