
Lead Analytics Specialist
3 days ago
We are seeking a highly skilled and experienced data scientist to lead our team in developing cutting-edge analytics solutions.
Key Responsibilities:
The ideal candidate will have a strong understanding of data analytics tools and technologies, hands-on experience in applying appropriate analytics techniques to build statistical models, including handling of all pre- and post-modeling deliverables.
They should also have very strong hands-on working knowledge of Python and SQL, as well as good hands-on knowledge of visualization tools like Power BI/Tableau.
The successful candidate will have worked across both structured and unstructured data (text) leveraging classification, regression, unsupervised, NLP and other techniques.
Responsibilities include providing analyses and insights directly to client stakeholders, proposing ideas for building strong internal/external analytics processes; performing analytics opportunity identification, roadmap development, technology, requirements analysis.
Desirable Skills:
Familiarity with Machine Learning methods like Decision trees (CART, Random Forest etc.), Support Vector Machines (SVM), Naïve Bayes, KNN, and unsupervised learning techniques like PCA, Clustering.
Knowledge of text mining which involves text categorization, concept/entity extraction, sentiment analysis and document summarization for structured and unstructured dataset.
Working with cutting edge tools and teams in data acquisition/ETL, visualization and sales process design to integrate in analytic application via Salesforce.com and other CRM platforms.
Requirements:
- 8-12 years of overall analytics experience
- Minimum 7 years of machine learning/data science experience
- Strong understanding of data analytics tools and technologies
- Hands-on experience in applying appropriate analytics techniques to build statistical models
- Very strong hands-on working knowledge of Python and SQL
- Good hands-on knowledge of any of the visualization tools amongst Power BI/Tableau
- Exposure to at least two of these sectors: Healthcare, Banking, Financial Services, Insurance, E-Commerce
Preferred Qualifications:
- Familiarity with Generative AI will be a bonus
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