Lead Data Analytics Specialist

23 hours ago


Delhi, Delhi, India AlphaMetricx Full time

Job Title: Lead Data Analytics Specialist

About AlphaMetricx

We are a leading provider of media intelligence solutions, helping businesses unlock the power of data-driven insights.

Salary: ₹ 25,00,000 - ₹ 35,00,000 per annum (depending on experience)

Job Description

As a Senior Data Scientist at AlphaMetricx, you will be responsible for developing and optimizing advanced analytics tools to help our clients make informed business decisions.

Key Responsibilities:

  • Design and develop analytics platforms and media intelligence tools to transform large, unstructured data into meaningful insights.
  • Develop machine learning models for trend detection, sentiment analysis, keyword extraction, and content recommendation.
  • Work with large-scale media data from sources such as social media, news, blogs, and other online platforms.
  • Collaborate with cross-functional teams to deliver end-to-end solutions.
  • Implement NLP techniques to analyze and categorize media content from multiple sources.
  • Build and optimize data pipelines for efficient data processing, storage, and retrieval.
  • Translate business objectives into data-driven solutions and deliver actionable insights to internal teams and clients.
  • Mentor and guide junior data scientists to develop their technical skills and career growth.
  • Stay updated on the latest trends in data science, AI, and media intelligence to ensure our tools and platforms remain at the cutting edge.

Required Skills and Qualifications:

  • Proven experience (7+ years) as a Data Scientist, preferably in the media intelligence or analytics tool development domain.
  • Strong expertise in machine learning, NLP, and statistical modeling.
  • Hands-on experience with media data analysis, including sentiment analysis, keyword analysis, and audience engagement tracking.
  • Proficiency in Python, R, and SQL. Familiarity with big data tools such as Hadoop, Spark, Redis, Apache Flink, and cloud platforms (AWS, GCP, Azure).
  • Strong understanding of data pipelines and experience with data processing frameworks.
  • Ability to work with large, unstructured data sets and develop models that derive actionable insights.
  • Excellent problem-solving skills and the ability to deliver solutions in a fast-paced environment.
  • Strong communication and presentation skills, with the ability to explain complex data insights to non-technical stakeholders.
  • A Master's or PhD in Data Science, Computer Science, Statistics, or a related field.


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