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    Data-Science

    Lead Data Scientist | Salary 2.3L to 4.9L Yearly

    Dipali ShahBy Dipali ShahOctober 30, 2025012 Mins Read
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    Lead Data Scientist | Salary 2.3L to 4.9L Yearly
    Lead Data Scientist | Salary 2.3L to 4.9L Yearly
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    🏢 Company Overview:
    Spotmentor Technologies is a cutting-edge AI and data-driven organization focused on transforming business intelligence into actionable insights. The company empowers enterprises with next-generation analytics, machine learning solutions, and decision automation to enhance performance, efficiency, and innovation. Spotmentor’s collaborative and research-oriented environment fosters continuous learning and technological excellence.

    💼 Job Details:

    • Employment type: Full Time
    • Experience: 2 to 4 Years
    • Salary: 2.3L to 4.9L Yearly
    • Location: Remote
    • Work timing: 9:00 AM to 6:00 PM
    • Working Days: 5 Days
    • Education: Any Degree

    📝 Job Description:
    Spotmentor Technologies is seeking a highly skilled and experienced Lead Data Scientist to guide data-driven initiatives and mentor the data science team. The ideal candidate will have a deep understanding of machine learning, statistical modeling, and big data technologies. This role involves designing and implementing AI solutions, leading complex analytical projects, and collaborating with cross-functional teams to deliver business value through data intelligence.

    🔑 Key Responsibilities:

    • Lead the design, development, and deployment of data science and AI models
    • Mentor junior data scientists and provide technical guidance
    • Collaborate with stakeholders to identify opportunities for data-driven decision-making
    • Develop predictive models and machine learning algorithms using structured and unstructured data
    • Translate business challenges into analytical problems and actionable insights
    • Ensure data quality, governance, and scalability of analytical solutions
    • Stay up to date with advancements in AI, ML, and data science frameworks

    🛠️ Required Skills & Qualifications:

    • Proficiency in Python, R, SQL, and relevant data science libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
    • Experience with machine learning, NLP, deep learning, and predictive modeling
    • Strong understanding of statistics, data mining, and mathematical modeling
    • Familiarity with cloud platforms (AWS, Azure, GCP) and big data tools (Spark, Hadoop)
    • Ability to visualize data using Tableau, Power BI, or Plotly
    • Proven experience in leading projects and managing data science teams
    • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field

    🌟 Benefits:

    • Opportunity to lead innovative AI-driven projects
    • Collaborative and knowledge-focused work culture
    • Access to cutting-edge data tools and infrastructure
    • Career growth and leadership development opportunities
    • Flexible working arrangements
    Apply Now

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    Dipali Shah

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