Senior Manager-Data Science

2 hours ago

Bangalore Urban Karnataka India, IN Tredence Inc. Full time

The Senior Manager, Data Science will lead a team of data scientists to develop advanced analytical models and drive data-driven decision-making across the organization. This role requires a strong blend of technical expertise, strategic thinking, and leadership skills. The Senior Manager will collaborate with cross-functional teams to identify business opportunities, design and implement innovative data solutions, and contribute to the company’s overall strategic goals.


Key Responsibilities:

Leadership and Team Management:

  • Lead, mentor, and develop a team of data scientists.
  • Foster a culture of innovation, collaboration, and continuous learning.
  • Set clear goals and performance expectations for the team.

Strategy and Vision:

  • Define and implement the data science strategy aligned with the company’s objectives.
  • Identify and prioritize data science projects that drive business value.
  • Stay abreast of industry trends and emerging technologies to keep the organization at the forefront of data science.

Technical Expertise:

  • Oversee the development and deployment of machine learning models and algorithms.
  • Ensure best practices in data modeling, coding, and experimental design.
  • Provide technical guidance on complex data science projects.

Collaboration and Communication:

  • Work closely with business leaders to understand their needs and translate them into data science initiatives.
  • Communicate findings and recommendations to both technical and non-technical stakeholders.
  • Collaborate with data engineering, IT, and other departments to ensure data availability and integrity.

Project Management:

  • Manage multiple data science projects, ensuring timely and successful delivery.
  • Allocate resources effectively and balance team workloads.
  • Monitor project progress and make adjustments as needed.

Performance Measurement:

  • Develop metrics to measure the impact and effectiveness of data science initiatives.
  • Continuously evaluate and refine models and strategies based on performance data.
  • Report on key performance indicators to senior management.



Qualifications:

  • Education:
  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Master’s or Ph.D. preferred.
  • Experience:
  • 7+ years of experience in data science or a related field.
  • 3+ years in a leadership or managerial role within a data science team.
  • Proven track record of delivering impactful data science solutions in a business context.
  • Technical Skills:
  • Expertise in statistical analysis, machine learning, and predictive modeling.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Experience with data visualization tools like Tableau, Power BI, or similar.
  • Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure).
  • Soft Skills:
  • Strong analytical and problem-solving abilities.
  • Excellent communication and presentation skills.
  • Ability to translate complex technical concepts into actionable business insights.
  • Strong organizational and project management skills.


Preferred Qualifications:

  • Experience in [specific industry or domain relevant to the company].
  • Knowledge of deep learning, NLP, or other advanced AI techniques.
  • Experience with Agile methodologies and project management tools.

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