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Senior Executive Administrator

4.00 to 9.00 Years   Bangalore,Noida, Chennai, Hyderabad, Gurugram, Pune, Mumbai City, Delhi   10 Apr, 2025
MACKENZIE MODERN IT SOLUTIONS PRIVATE LIMITED
Job LocationBangalore,Noida, Chennai, Hyderabad, Gurugram, Pune, Mumbai City, Delhi
EducationNot Mentioned
SalaryRs 7 - 16 Lakh/Yr
IndustryGems / Jewellery
Functional AreaHR
EmploymentTypeFull-time

Job Description

    Key Responsibilities:
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.

Keyskills :
recruitmentstatutory complianceperformance managementemployee relationstalent acquisitionstandard operating proceduresemployee engagementlabour laws

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