Senior Executive Administrator Job in
- Mackenzie Modern It
- 4 to 9 Yrs
- Bengaluru
- 9 days ago
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Job Description
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Data Collection & Preprocessing:
- Collect and clean large, complex datasets from various sources to ensure data integrity and consistency.
- Preprocess data, including handling missing values, outliers, and normalizing or scaling features as required.
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Exploratory Data Analysis (EDA):
- Perform exploratory data analysis to uncover patterns, trends, and relationships within the data.
- Generate visualizations and summary statistics to present findings to business stakeholders.
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Statistical Modeling & Machine Learning:
- Develop and implement statistical models, machine learning algorithms, and predictive models to solve business problems.
- Use techniques such as regression analysis, clustering, classification, and time-series forecasting to build models.
- Conduct model validation and performance tuning to optimize accuracy and ensure robustness.
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Algorithm Development:
- Design, implement, and fine-tune machine learning algorithms based on business requirements and data insights.
- Utilize libraries such as Scikit-learn, TensorFlow, or PyTorch for model development.
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Data Visualization & Reporting:
- Create clear and interactive data visualizations using tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn).
- Present findings and insights to business stakeholders through reports, dashboards, and presentations.
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Collaboration with Teams:
- Work closely with cross-functional teams such as product managers, engineers, and business analysts to understand business needs and provide data-driven solutions.
- Participate in regular team meetings to discuss project progress, challenges, and outcomes.
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Continuous Learning & Improvement:
- Stay up-to-date with the latest trends in data science, machine learning, and AI technologies.
- Participate in training programs, webinars, and workshops to improve technical skills.
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Optimization & Efficiency:
- Continuously improve model performance and optimize processes by experimenting with different algorithms and approaches.
- Ensure models are scalable and can be deployed into production with minimal technical debt.
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Documentation & Knowledge Sharing:
- Document data science workflows, methodologies, and models for transparency and reproducibility.
- Share knowledge and collaborate with team members to foster a learning environment.
Key Responsibilities:
Employement Category:
Employement Type: Full timeIndustry: Gems / Jewellery
Role Category: HR
Functional Area: Not Specified
Role/Responsibilies: Senior Executive Administrator Job in
Contact Details:
Company: Mackenzie Modern ItLocation(s): Bengaluru
Keyskills: recruitment statutory compliance hr performance management employee relations talent acquisition standard operating procedures employee engagement labour laws executive
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