About the job
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Acunor Infotech, is seeking the following. Apply via Dice today!
Job Responsibilities
Experience in upcoming technologies like deep learning, NLP, image processing, and recommender systems.
Experience working in one or more domains:
Good grasp of databases, including RDBMS, NoSQL, MongoDB, etc.
Data Scientist - Remote
Job Responsibilities
- Ability to understand a problem statement and implement analytical solutions and techniques independently, proactively, and with thought leadership.
- Work with organizational stakeholders to identify opportunities for leveraging company/client data to drive business solutions.
- Fast learner: ability to learn and quickly learn a new language/tool/ platform.
- Conceptualize, design, and deliver high-quality solutions and insightful analysis.
- Conduct research and prototyping innovations, data and requirements gathering, solution scoping and architecture, and consulting clients and clients-facing teams on advanced statistical and machine learning problems.
- Collaborate and Coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes.
- Ability to deliver AIML-based solutions around a host of domains and problems, with some of them being Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization
- Expert level proficiency in at least one of R and Python with a focus on object-oriented programming.
- Ability to create efficient solutions to complex problems. Strong skills in data-structures and ML algorithms.
- Demonstrable understanding of machine learning techniques and their practical applications.
- Excellent collaboration and communication skills.
- A team player with a proactive approach to problem-solving.
- Familiarity with NLP and text analysis.
- Experience working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modeling, insights, visualizations, monitoring, and maintenance.
- Problem-solving: Ability to break the problem into small parts and apply relevant techniques to drive required outcomes.
- Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms. You will be required to discuss and use various algorithms and approaches daily.
- We use regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modeling, dimensionality reduction, SEM, GLM, GLMM, clustering, Deep learning etc. regularly. If you know a few of them, you are good to go.
Experience in upcoming technologies like deep learning, NLP, image processing, and recommender systems.
Experience working in one or more domains:
- CPG - pricing and promotion analytics, marketing analytics, trade promotions, supply chain management
- BFSI - cross-sell, up-sell, campaign analytics, treasury analytics, fraud detection
- Healthcare - medical adherence, medical risk profiling, EHR data, fraud-waste-abuse
Good grasp of databases, including RDBMS, NoSQL, MongoDB, etc.
Data Scientist - Remote
