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Lead - Data Scientist

Lead - Data Scientist

Silicon LabsHyderabad
8 days ago
Job description

What You'll do

Lead and execute complex data science initiatives that support high-impact business decisions.

Responsible for the development, deployment, and communication of advanced analytical models.

Provides technical guidance to junior data scientists and partners closely with cross-functional teams to drive data-driven outcomes

Responsibilities

  • Designs and implements advanced statistical and machine learning models to solve complex business problems.
  • Leads full-cycle analytics projects, including problem definition, data exploration, model development, evaluation, and deployment.
  • Collaborates with stakeholders to align data science solutions with business goals and priorities.
  • Provides technical mentorship to junior team members and contributes to knowledge sharing across the team.
  • Translates complex modeling outputs into actionable insights and presents findings to senior leadership.
  • Stays current on industry best practices and emerging trends in AI, machine learning, and data science tools.
  • Contributes to continuous improvement in analytical workflows, code standards, and data governance.
  • Applies sound judgment to navigate ambiguous problems and propose scalable solutions.
  • Performs other duties as required in support of the data science team and organizational goals.

Required Qualification and skills

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; Master’s preferred.
  • Minimum of 4 years of experience in data science, machine learning, or advanced analytics.
  • Advanced proficiency in Python or R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow).
  • Strong grasp of statistical analysis, experimental design, and model evaluation techniques.
  • Excellent written and verbal communication skills, with the ability to influence both technical and non-technical stakeholders.
  • Demonstrated experience in leading complex data projects and driving measurable business outcomes.
  • Experience with cloud-based data platforms (e.g., AWS, GCP, Azure) and MLOps practices is a plus.
  • Benefits & Perks :

    Not only will you be joining a highly skilled and tight-knit team where every engineer makes a significant impact on the product; we also strive for good work / life balance and to make our environment welcoming and fun.

  • Equity Rewards (RSUs)
  • Employee Stock Purchase Plan (ESPP)
  • Insurance plans with Outpatient cover
  • National Pension Scheme (NPS)
  • Flexible work policy
  • Childcare support
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