Senior Data Strategist for Advanced Analytics

5 days ago

Islamabad, Islamabad, Pakistan beBeeDataStrategist Full time $160,000 - $210,000
Job Overview

We are seeking an exceptional Senior Data Strategist to lead our advanced analytics initiatives. As a key member of our team, you will leverage data-driven insights to optimize business processes and drive strategic decision-making.

Responsibilities
  • Design and implement end-to-end data science projects, from defining business problems to deploying predictive models at scale.
  • Architect and build statistical algorithms and machine learning systems to solve complex business challenges and enhance decision-making.
  • Provide technical leadership and mentorship to junior data scientists, promoting best practices and guiding technical development across the team.
  • Innovate new methodologies in machine learning and AI, staying at the forefront of emerging tools, techniques, and industry trends.
  • Lead cross-functional teams, ensuring alignment and seamless integration between data science, engineering, and business teams.
  • Implement robust data governance, validation, and quality assurance processes to ensure the integrity and reliability of data science outputs.
  • Partner with data engineering and IT teams to build scalable, automated data pipelines that support data science initiatives.
  • Presentation of complex data insights and machine learning results to non-technical stakeholders, ensuring clarity and business relevance.
  • Drive the design and execution of experiments, A/B tests, and statistical analyses to measure and optimize the impact of data-driven decisions.
  • Ensure compliance with regulatory requirements, data security, and governance protocols when building scalable data science solutions.
Requirements
  • Advanced degree (master's or PhD) in Data Science, Computer Science, or a related field.
  • 7+ years of experience in data science.
  • Demonstrated success in leading data-driven projects.
  • Deep knowledge of machine learning and statistical modelling.
  • Strong programming and data engineering skills.
  • Excellent problem-solving and communication abilities.
Preferred Skills
  • Expertise in Python, R, MATLAB, and SQL for statistical modeling and data analysis.
  • Proficient in machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and big data tools (e.g., Hadoop, Spark).
  • Familiarity with visualization tools like Power BI, Tableau, or D3.js.
About Us

We are committed to fostering a culture of innovation and excellence, where our team members can grow and thrive. If you are passionate about driving business outcomes through data-driven insights, we encourage you to apply for this exciting opportunity.

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