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3.0 - 7.0 years
0 Lacs
kochi, kerala
On-site
A spectacular opportunity awaits those who are passionate about Data Analytics. We are looking for dedicated, committed fast learners to be fast-tracked into a Senior Data Analyst position. You may be a graduate in Engineering, Mathematics, Statistics, or any other domain. In fact, your present professional background or educational background does not matter. Remember, all you need to prove is you are worthy of the role over the 3-month duration by showcasing your attitude, talent, skills, and EQ. The hands-on training program is completely free. We will impart you the requisite knowledge and exposure to an awesome work culture that will kickstart your career in Data Analytics once and for all. And yes, we prefer to have Gen Z candidates in. Responsibilities - Translating business user stories to technical requirements - Identifying challenges in day-to-day business activities - Extracting complex data from different data sources and maintaining the database - Creating insights and identifying underlying patterns from complex data - Applying different statistical techniques to interpret the data - Working with a team or individually towards the goals - Prioritizing activities and on-time action to streamline daily activities Key Skills Requirements - Excellent communication and interpersonal skills - At least 3-5 years of experience in any domain is required for the position - Proficiency in database or data models and knowledge in analytics tools like Tableau, Power BI, Excel VBA Macros, SPSS, SAS is preferred - Deliver results driven with analytical and numeric skills and possess the capability to convey data story through visualization - A team player capable of working and integrating across cross-functional teams for implementing project requirements - Extensive experience in technical requirements gathering and documentation will be considered as an added advantage - An ability to work effectively and independently in a fast-paced agile environment with tight deadlines - Be a flexible, pragmatic, and collaborative team player with an innate ability to engage with stakeholders at all levels in the organization - Excellent attention to details - Proficiency in adaptive learning that involves the ability to quickly acquire domain knowledge and efficiency in the successful application of it to business analysis - Willingness to travel onsite as required Perks: Careers at Beinex - Comprehensive Health Plans - Learning and development - Workation and outdoor training - Hybrid working environment - On-site travel Opportunity - Beinex Branded Merchandise,
Posted 2 days ago
8.0 - 12.0 years
0 Lacs
karnataka
On-site
The Staff ML Scientist position at Visa offers a unique opportunity to engage in cutting-edge Applied AI research within the realm of data analytics. As a key member of the team, you will play a pivotal role in driving Visa's strategic vision as a leading data-driven company. Your responsibilities will involve formulating complex business problems into technical data challenges, collaborating closely with product stakeholders to ensure the practicality of solutions, and delivering impactful prototypes and production code. You will have the chance to experiment with various datasets, both in-house and third-party, to evaluate their relevance to business objectives. Moreover, your role will encompass building data transformations for structured and unstructured data, exploring and refining modeling and scoring algorithms, and implementing methods for adaptive learning and model validation. Your expertise in automation and predictive analytics will be instrumental in enhancing operational efficiency and performance monitoring. In addition to your technical skills, you will be expected to possess a strong academic background and exceptional software engineering capabilities. A proactive and detail-oriented approach, coupled with excellent collaboration skills, will be essential for success in this role. This is a hybrid position, allowing for a flexible work arrangement that combines remote work and office presence. The expectation is to work from the office 2-3 set days per week, with a general guideline of being in the office at least 50% of the time based on business requirements. Qualifications: - 8 or more years of work experience with a Bachelors Degree or an Advanced Degree - Proficiency in modeling techniques such as logistic regression, Nave Bayes, SVM, decision trees, or neural networks - Ability to program in scripting languages like Perl or Python, and programming languages such as Java, C++, or C# - Familiarity with statistical tools like SAS, R, KNIME, and experience with deep learning frameworks like TensorFlow - Knowledge of Natural Language Processing and working with large datasets using tools such as Hadoop, MapReduce, Pig, or Hive - Publications or presentations in recognized Machine Learning and Data Mining journals/conferences would be advantageous Join Visa as a Staff ML Scientist and contribute to pioneering advancements in Applied AI research that drive innovation and shape the future of data analytics.,
Posted 1 week ago
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