Lead Data Analytics Specialist
23 hours ago
Job Title: Lead Data Analytics Specialist
About AlphaMetricxWe 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 DescriptionAs 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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