Job Summary:
We are seeking a skilled and analytical Mid-Level Data Scientist to join our team. The ideal candidate will have a strong foundation in data analysis statistical modeling and machine learning with proven experience in applying these skills to solve real-world business problems. You will work closely with cross-functional teams to extract insights from data build predictive models and support data-driven decision-making.
Key Responsibilities:
- Analyze large datasets to identify trends patterns and actionable insights.
- Develop validate and deploy machine learning models for classification regression clustering and recommendation systems.
- Collaborate with business stakeholders to understand requirements and translate them into data science solutions.
- Design and conduct experiments to test hypotheses and measure impact.
- Communicate findings clearly through visualizations dashboards and presentations.
- Maintain and improve existing models and data pipelines.
- Ensure data quality integrity and security in all analytical processes.
- Manage the full cycle of the Data models
- Experience in MLOps
Required Qualifications:
- Bachelors or Masters degree in Data Science Computer Science Statistics Mathematics or a related field.
- 35 years of experience in data science or a related analytical role.
- Proficiency in Python or R and experience with data science libraries (e.g. pandas scikit-learn TensorFlow PyTorch).
- Strong SQL skills and experience working with relational databases.
- Solid understanding of statistical methods and machine learning algorithms.
- Experience with data visualization tools (e.g. Tableau Power BI matplotlib seaborn).
- Familiarity with cloud platforms (e.g. AWS Azure GCP) and version control (e.g. Git).
Preferred Qualifications:
- Experience with big data technologies (e.g. Spark Hadoop).
- Knowledge of MLOps practices and tools.
- Exposure to NLP time series analysis or deep learning.
- Experience working in agile environments.
Soft Skills:
- Strong problem-solving and critical thinking abilities.
- Excellent communication and collaboration skills.
- Ability to manage multiple projects and meet deadlines.
- Curiosity and a continuous learning mindset.
Job Summary:We are seeking a skilled and analytical Mid-Level Data Scientist to join our team. The ideal candidate will have a strong foundation in data analysis statistical modeling and machine learning with proven experience in applying these skills to solve real-world business problems. You will ...
Job Summary:
We are seeking a skilled and analytical Mid-Level Data Scientist to join our team. The ideal candidate will have a strong foundation in data analysis statistical modeling and machine learning with proven experience in applying these skills to solve real-world business problems. You will work closely with cross-functional teams to extract insights from data build predictive models and support data-driven decision-making.
Key Responsibilities:
- Analyze large datasets to identify trends patterns and actionable insights.
- Develop validate and deploy machine learning models for classification regression clustering and recommendation systems.
- Collaborate with business stakeholders to understand requirements and translate them into data science solutions.
- Design and conduct experiments to test hypotheses and measure impact.
- Communicate findings clearly through visualizations dashboards and presentations.
- Maintain and improve existing models and data pipelines.
- Ensure data quality integrity and security in all analytical processes.
- Manage the full cycle of the Data models
- Experience in MLOps
Required Qualifications:
- Bachelors or Masters degree in Data Science Computer Science Statistics Mathematics or a related field.
- 35 years of experience in data science or a related analytical role.
- Proficiency in Python or R and experience with data science libraries (e.g. pandas scikit-learn TensorFlow PyTorch).
- Strong SQL skills and experience working with relational databases.
- Solid understanding of statistical methods and machine learning algorithms.
- Experience with data visualization tools (e.g. Tableau Power BI matplotlib seaborn).
- Familiarity with cloud platforms (e.g. AWS Azure GCP) and version control (e.g. Git).
Preferred Qualifications:
- Experience with big data technologies (e.g. Spark Hadoop).
- Knowledge of MLOps practices and tools.
- Exposure to NLP time series analysis or deep learning.
- Experience working in agile environments.
Soft Skills:
- Strong problem-solving and critical thinking abilities.
- Excellent communication and collaboration skills.
- Ability to manage multiple projects and meet deadlines.
- Curiosity and a continuous learning mindset.
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