Data Insight Strategist

3 days ago

Lucknow, Uttar Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Transforming Data into Strategic Insights

We thrive at the intersection of curiosity, rigor, and business impact. Our team excels in uncovering actionable trends, driving strategic decisions, and innovation across the organisation.

Position Overview:

The Data Scientist will play a pivotal role in building, refining, and deploying advanced models that empower the business with predictive and prescriptive insights.

Key Responsibilities:

  • Model Development: Design and develop robust machine learning and statistical models tailored to solving complex business problems.
  • Model Improvement: Continuously monitor, test, and refine models based on feedback, new data, or changing business requirements.
  • Model Deployment: Deploy models to production environments, ensuring scalability, stability, and maintainability.
  • Data Analysis & Exploration: Analyse large and complex datasets to uncover trends, patterns, and opportunities.
  • Collaboration & Communication: Work cross-functionally with business leaders, product managers, analysts, and engineers to understand requirements, translate business needs into analytical solutions, and clearly communicate findings and recommendations.
  • Documentation & Best Practices: Maintain comprehensive documentation for models, codebases, and analytical processes.
  • Innovation & Learning: Stay abreast of the latest developments in data science, machine learning, and AI.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field.
  • Proven experience (3+ years) in building, refining, and deploying machine learning/statistical models in a professional setting.
  • Strong programming skills in Python, R, or similar languages, with proficiency in machine learning libraries.
  • Solid understanding of data structures, algorithms, and software engineering principles.
  • Experience with cloud platforms and model deployment tools is highly desirable.
  • Familiarity with big data technologies and database systems.
  • Strong grasp of statistical concepts, hypothesis testing, and experimental design.
  • Excellent problem-solving skills, with the ability to break down complex issues into actionable tasks.
  • Outstanding communication skills, with the ability to convey complex technical concepts to non-technical audiences.

Preferred Qualifications:

  • Experience in deploying models into real-time or high-availability production environments.
  • Familiarity with MLOps practices and tools.
  • Knowledge of data visualisation tools.
  • Experience with CI/CD pipelines for ML projects.
  • Domain expertise in areas such as finance, healthcare, retail, or marketing analytics.

Core Competencies:

  • Technical Excellence: Demonstrates expertise in applying data science techniques to solve real-world problems.
  • Business Acumen: Understands business drivers and challenges, aligning analytical approaches with organisational goals.
  • Ownership & Accountability: Takes responsibility for deliverables, timelines, and quality of work.
  • Collaboration: Fosters an inclusive and supportive team environment.
  • Adaptability: Embraces change, learns quickly, and is willing to iterate in response to feedback or shifting priorities.

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