The Person:-• Articulate • High Energy • Passion to learn • High sense of ownership • Ability to work in a fast-paced and deadline driven environment • Loves technology • Highly skilled at Data Interpretation • Problem solver • Ability to narrate story to the business stakeholders • Generate insights and the ability to turn them into actions and decisions Skills to work in a challenging, complex project environment:-• Need you to be naturally curious and have a passion for understanding consumer behavior • A high level of motivation, passion and high sense of ownership • Excellent communication skills needed to manage an incredibly diverse slate of work, clients, and team personalities • Flexibility to work on multiple projects and deadline-driven fast-paced environment • Ability to work in ambiguity and manage chaos Algorithm & Solution Development skills:-• Solid understanding and experience in statistical methods and programming • Experience in both supervised (classification models, regression) and unsupervised learning (clustering, PCA, LDA), Time series forecasting (Arima, Sarimax, FBProphet) • High level of proficiency in any two of the following Work experience in Digital Analytics/Web Analytics is highly preferred Hypothesis testing, insights generation, root cause analysis, drivers analysis Marketing effectiveness, performance marketing, attribution modeling, MMM Personalization, campaign management, design of experiments Data visualization using D3.JS, 3JS, RShiny, Tableau, Qlik and PowerBI or any other leading data visualization • Knowledge and Hand-on experience in these: Machine Learning (ML) models development in Python, R and SAS Develop algorithms using NLP and Text Analytics based solutions for clients, deep learning models, use of Word2Vec Data Engineering and development of Big Data solutions (Should have gained experience in Apache Spark/Spark Streaming, Cassandra, Apache Apex) Project Delivery skills:-• Gather, process, analyse and extract conclusions out of complex, high-volume, highdimensional data coming from varying sources • Design, framework development and implementation of analytics solutions • Generating insights and recommendations for clients Qualifications:- • BE/BTech from in Computer Science/Statistics • Should have a minimum 3 years’ experience in Data Analytics/Digital Analytics/Web AnalyticsPreference will be given to Immediate to 15-day joiners
Responsibilities:· Partners with business stakeholders to translate business objectives into clearly defined analytical projects.· Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques to the specific business problem and then build the models that solve the problem.· Own the end-end process, from recognizing the problem to implementing the solution.· Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.· Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.Skills and Qualifications:· 3 years + of experience.· An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.· Experience with text mining, parsing, and classification using state-of-the-art techniques.· Experience with information retrieval, Natural Language Processing, Natural Language Understanding and Neural Language Modeling.· Ability to evaluate the quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.· Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, Gensim, etc.· Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.· Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.
Job Description: Roles & Responsibilities: · You will be involved in every part of the project lifecycle, right from identifying the business problem and proposing a solution, to data collection, cleaning, and preprocessing, to training and optimizing ML/DL models and deploying them to production. · You will often be required to design and execute proof-of-concept projects that can demonstrate business value and build confidence with CloudMoyo’s clients. · You will be involved in designing and delivering data visualizations that utilize the ML models to generate insights and intuitively deliver business value to CXOs. Desired Skill Set: · Candidates should have strong Python coding skills and be comfortable working with various ML/DL frameworks and libraries. · Hands-on skills and industry experience in one or more of the following areas is necessary: 1) Deep Learning (CNNs/RNNs, Reinforcement Learning, VAEs/GANs) 2) Machine Learning (Regression, Random Forests, SVMs, K-means, ensemble methods) 3) Natural Language Processing 4) Graph Databases (Neo4j, Apache Giraph) 5) Azure Bot Service 6) Azure ML Studio / Azure Cognitive Services 7) Log Analytics with NLP/ML/DL · Previous experience with data visualization, C# or Azure Cloud platform and services will be a plus. · Candidates should have excellent communication skills and be highly technical, with the ability to discuss ideas at any level from executive to developer. · Creative problem-solving, unconventional approaches and a hacker mindset is highly desired.