Senior Data Scientist

HCL Technologies
282d$85,000 - $138,000

About The Position

HCLTech is a global technology company, spread across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. We are powered by our people - a global, diverse, multi-generational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving. Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere - our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040.

Requirements

  • Proven experience in developing and deploying machine learning models.
  • Strong knowledge of predictive analytics and AI solutions.
  • Experience with data processing, feature engineering, and pattern recognition.
  • Ability to lead data exploration, mining, and visualization.
  • Familiarity with advanced statistical techniques and deep learning.
  • Experience with big data technologies.
  • Strong collaboration skills to work with cross-functional teams.
  • Experience in mentoring junior data scientists.

Nice To Haves

  • Experience with Microsoft PowerBI for data visualization.
  • Familiarity with automation tools like Power Automate.
  • Proficiency in SQL.

Responsibilities

  • Develop and deploy machine learning models, predictive analytics, and AI solutions to solve business challenges.
  • Design and optimize algorithms for data processing, feature engineering, and pattern recognition.
  • Lead data exploration, mining, and visualization to uncover trends and actionable insights.
  • Collaborate with cross-functional teams to integrate data science solutions into business strategies.
  • Drive innovation by leveraging advanced statistical techniques, deep learning, and big data technologies.
  • Ensure data integrity, governance, and best practices in model development and deployment.
  • Mentor junior data scientists and promote a data-driven culture within the organization.
  • Stay ahead of industry trends and emerging technologies to enhance analytical capabilities.

Benefits

  • Competitive salary range from $85,000 to $138,000.
  • Opportunities for professional development and training.
  • Diverse and inclusive work environment.
  • Focus on sustainability and ESG initiatives.
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