- Mine and analyze data, applying statistical methods as necessary, pertaining to customers discovery and viewing experiences to identify critical product insights
- Translate analytic insights into concrete, actionable recommendations for business or product improvement
- Partner closely with product and engineering leaders throughout the lifecycle of project
- Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs
- Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization
- Requirements: Good knowledge of advanced statistical methods (automotive or manufacturing domain will be an added advantage)
- Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits Proactively develop new metrics and studies to quantify the value of different aspects of product
- Should have independently handled a project technically and provided directions to the other Team Members
- Experience in turning ideas into actionable designs
- Able to persuade stakeholders and champion effective techniques through development




- Ongoing technical authority role with our larger customers
- Strong interpersonal and communication skills: ability to tell a explicit, concise, actionable story with data, to folks across various levels of the company
- Able to lead the project independently
- Technical directions to junior in team, like to sort the respective task for responsible team members
- Technical Skills: Expertise in following scripting languages Python, R, TensorFlow, Keras, Pytorch, OpenNLP, WordNet, NLTK, OpenCV Tech savy and willing to work with open-Source Tools Applying statistical and machine learning techniques, such as, mean-variance, k-means, nearest-neighbor, support vector, Bayesian time-series and network analysis to identify outliers, classify events or actors, and correlate anomalous sequences of events
- Proven track record and experience with statistical modeling/data mining algorithms such as Multivariate Regression, Logistic Regression, clustering algorithms, Support Vector Machines, Decision Trees etc
- Machine learning, deep learning, graph mining
- DOE, Forecasting, Segmentation, Uncertainty Analysis etc

📌 Content Writer (Bengaluru)
🏢 SNVA Ventures
📍 Bengaluru