Sr. Data Scientist

5 days ago

Dombivli, India Unico Connect Full time

Overview:

Join Unico Connnect innovative team as a Senior Data Scientist and take the lead in shaping data-driven strategies that propel business success. Leverage your expertise in advanced analytics, machine learning, and data engineering to drive impactful outcomes across the organization.


Key Responsibilities:

  • Strategic Insights and Leadership: Analyze large, complex datasets to uncover actionable insights, guiding long-term strategic decisions. Mentor junior data scientists, fostering their growth and enhancing team capabilities.
  • Advanced Modeling and Analytics: Develop and implement sophisticated statistical models and machine learning algorithms for predictive and prescriptive analytics. Conduct scenario planning and simulations to inform critical business strategies.
  • Architectural and Data Strategy Recommendations: Collaborate with the engineering team to design robust data architecture for optimized data flow, collection, and storage. Evaluate and recommend tools and frameworks to enhance the data science ecosystem.
  • Interactive Dashboards and Visualization: Design and develop advanced dashboards and visualizations to convey insights to stakeholders effectively. Champion best practices for data storytelling to influence key decision-makers.
  • Operational Analytics and Metrics Design: Define and implement metrics to track performance across key business areas. Build real-time monitoring systems to assess application usage and customer behavior.
  • Cross-Functional Collaboration: Partner with product managers, engineers, and other stakeholders to align analytics initiatives with business goals. Act as a thought leader in cross-functional projects, driving data-centric decision-making.
  • Data Integrity and Governance: Implement rigorous quality assurance practices to ensure accuracy and reliability in reporting and analysis. Uphold data security and compliance standards across the organization.
  • Continuous Learning and Innovation: Stay ahead of industry trends in data science, analytics tools, and machine learning techniques. Pilot and deploy cutting-edge technologies to maintain a competitive edge.


Qualifications:

  • 5+ years of hands-on experience in data science or advanced analytics, with a proven track record of impactful contributions.


Required Skills:

  • Expertise in designing and deploying machine learning models in production environments.


Preferred Skills:

  • Strong coding skills in Python, R, or similar languages, and proficiency with SQL for data manipulation.
  • Hands-on experience with data visualization tools (e.g., Tableau, Power BI).
  • Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).


Pay range and compensation package:

Pay range or salary or compensation


Equal Opportunity Statement:

Include a statement on commitment to diversity and inclusivity.

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