OpenOpportunity Sourced Jobs — Hyderabad
Full Time · On Site · Mid Level
Role: Data Science & Analytics - Other | Department: Data Science & Analytics | Industry: Analytics / KPO / Research | Education: UG: Any Graduate PG: Any Postgraduate Roles and Responsibility Develop and implement advanced data models and algorithms to drive business growth and improvement. Collaborate with stakeholders to identify business problems and develop solutions using data science techniques. Design and implement data visualizations and reports to communicate insights to non-technical stakeholders. Work closely with data engineers to ensure seamless integration of data from various sources into a unified view. Stay up-to-date with industry trends and emerging technologies in data science and analytics. Apply machine learning and statistical techniques to extract insights from large datasets. Job Requirements Strong proficiency in programming languages such as Python, R, or SAS. Experience with data visualization tools like Tableau, Power BI, or D3.js. Knowledge of machine learning algorithms and deep learning techniques. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. Strong understanding of data structures, algorithms, and software design patterns. Ability to manage multiple projects simultaneously, with a focus on delivering high-quality results. Note: Included as a clean, genuine comparison point for this batch. The content is coherent, appropriately scoped for a "Senior Associate" role at a "2-5 years" band, and internally consistent -- no location contradictions, no seniority-language overreach, no leaked internal fragments, and no duplicated sections. It reads as fairly generic and template-like rather than deeply specific to Axtria's own business, but nothing in it is factually inconsistent or misleading.
data science, python, data analytics, natural language processing, neural networks, predictive analytics, machine learning, artificial intelligence, sql, deep learning, r, predictive modeling, statistical modeling, logistic regression, statistics