Senior Data Scientist

Position Overview:

We are seeking an experienced Data Science & AI Expert to play a pivotal role in enhancing our Xpandretail.online analytics platform. The ideal candidate will design and implement AI-driven data solutions, build insightful dashboards, and develop intelligent performance metrics to provide actionable insights for our clients.

This role demands a strong foundation in data science, machine learning, and AI automation, along with exceptional analytical and problem-solving abilities. You will collaborate across departments to drive data-driven strategies that support client success and business growth.

Key Responsibilities:

1. KPI Development and Optimization

• Research and identify industry-specific KPIs aligned with business and client objectives.
• Develop new, AI-driven KPIs to enhance predictive analytics and performance measurement.
• Continuously evaluate existing metrics for improvement using data trends and machine learning insights.

2. Dashboard Design & Data Visualization

• Design and deploy interactive, AI-enhanced dashboards to visualize real-time analytics.
• Collaborate with stakeholders to gather requirements and customize dashboard solutions.
• Ensure dashboards are visually engaging, user-friendly, and aligned with business goals.

3. Advanced Data Analysis, AI & ML Modeling

• Build and implement machine learning models for forecasting, anomaly detection, and behavioral analysis.
• Conduct exploratory data analysis (EDA) to identify patterns, correlations, and actionable insights.
• Integrate predictive and prescriptive analytics into business workflows.
• Evaluate model performance and continuously refine algorithms for optimal accuracy.

4. Reporting and Strategic Insights

• Generate detailed reports highlighting insights, trends, and recommendations.
• Collaborate with business, marketing, and operational teams to translate data findings into strategic initiatives.
• Automate report generation processes using AI and scripting tools where feasible.

5. Client Collaboration and Support

• Engage directly with clients to understand their data challenges and propose AI-based solutions.
• Conduct presentations, demos, and workshops to showcase analytics capabilities.
• Provide post-deployment support and guidance to help clients leverage dashboards and models effectively.

6. Continuous Innovation and Improvement

• Stay ahead of trends in AI, ML, data analytics, and visualization technologies.
• Recommend and implement tools, frameworks, and methodologies to enhance analytical efficiency.
• Contribute to the evolution of data governance, data quality, and automation processes.

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• 4+ years of experience in data analytics, AI, and machine learning model development.
• Proficiency in Python, R, SQL, and ML libraries such as scikit-learn, TensorFlow, PyTorch, or Keras.
• Strong knowledge of data visualization tools (Power BI, Tableau, or similar).
• Experience with cloud data platforms (AWS, Azure, or Google Cloud).
• Excellent communication and presentation skills with a strong business acumen.
• Ability to work independently in a hybrid environment and manage multiple projects efficiently.

Preferred Skills (Good to Have):

• Experience in deep learning, computer vision, or natural language processing (NLP).
• Familiarity with data pipelines, ETL processes, and data engineering fundamentals.
• Knowledge of AI-driven automation tools and predictive analytics frameworks.

Job Type: Full-time

Pay: ₹70,000.00 - ₹100,000.00 per month

Benefits:

• Health insurance
• Paid sick time
• Work from home

Application Question(s):

• Rate your proficiency in Python for data analytics and ML.

Beginner, Intermediate ,Advanced

• How proficient are you with SQL for data extraction and analysis?

Beginner, Intermediate ,Advanced

• Which machine learning frameworks have you worked with?
• Which data visualization tools have you used professionally?
• Have you designed or developed dashboards for business stakeholders?
• Have you worked directly with clients to understand data requirements or present analytical findings?
• Are you experienced in developing or improving KPIs using data insights?

Education:

• Bachelor's (Required)

Experience:

• Data Science, Machine Learning, or AI development: 3 years (Required)
• building machine learning models: 3 years (Required)

Work Location: In person