3 Advanced Algorithms Jobs

As a Data Science Associate Consultant at ZS, you will design, develop, and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets to help clients make better fact-based decisions. Your responsibilities will include staying updated with the latest developments in Deep Learning and AI research, implementing and fine-tuning advanced models in deep learning, collaborating with cross-functional teams to develop and deploy machine learning models in production, contributing to research projects advancing AI and machine learning, and integrating engineering principles into data science workflows. You will be expected to have a Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, along with 4-7 years of Data Science experience. Proficiency in generative AI, deep learning, statistical techniques, and programming languages such as Java/Python/R is required. Additionally, you should have knowledge of big data/advanced analytics concepts and algorithms, excellent oral and written communication skills, strong attention to detail, critical thinking, problem-solving skills, motivation, work ethic, and maturity. Exposure to Generative AI is a plus. ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. The company is committed to providing employees with a flexible and connected way of working, allowing a combination of work from home and on-site presence at clients/ZS offices. Travel may be required based on the business needs of your project and client, providing opportunities for professional growth and diverse experiences. ZS is focused on building a diverse and inclusive company where individuals from all backgrounds can bring their passions to inspire life-changing impact. The company encourages candidates to apply even if they do not meet all the requirements listed. ZS is an equal opportunity employer committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. Candidates interested in applying must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts, is required to be considered. More information can be found at www.zs.com.,

LogiNext is seeking a passionate Principle Engineer - Analytics to develop data products that extract valuable business insights for efficiency and enhanced customer experience. As a Principle Engineer, you will be responsible for managing, processing, and analyzing large volumes of raw information within scalable databases. Your role will also involve crafting unique data structures and designing algorithms for a new range of products. To excel in this role, you must possess critical thinking and problem-solving abilities. You should have a strong background in software development, advanced algorithms, and the capability to handle extensive data sets. Familiarity with statistics and machine learning algorithms is advantageous. Exposure to cloud environments, continuous integration, and agile scrum processes is also preferred. Responsibilities: - Lead projects as both a principal investigator and project manager, ensuring timely delivery of project requirements - Develop software that integrates data-driven intelligence into products with Big Data backends - Conduct exploratory data analysis to create efficient data structures and algorithms based on project needs - Implement advanced algorithm development, possibly incorporating machine learning models and pipelines - Manage data in large-scale data stores (e.g., NoSQL DBs, time series DBs, Geospatial DBs) - Establish metrics and evaluate algorithms to enhance accuracy and recall rates - Optimize data access and utilization through indexing, clustering, and other techniques - Collaborate closely with engineering and product development teams Requirements: - Masters or Bachelors degree in Engineering (Computer Science, Information Technology, Information Systems) from a top-tier institution, or a higher degree in Statistics, Mathematics with hands-on software development experience - 8 to 10 years of product development experience, including algorithmic work - 5+ years of experience working with large datasets or performing large-scale quantitative analysis - Proficiency in SaaS products and services - Strong problem-solving skills with algorithms - Ability to mentor and manage teams, meeting project deadlines - Proficient in Python programming - Understanding of software architecture and design principles - Project management experience, preferably in an Agile environment - Familiarity with data processing, analytics, and visualization tools in Python (e.g., pandas, matplotlib, Scipy) - Proficiency in SQL and querying NoSQL databases (e.g., Mongo, Casandra, Redis) - Knowledge of large database management practices like indexing, sharding, and caching - Exposure to Big Data technologies such as Hadoop, Yarn, Redshift, Spark, Kafka, Pig/Hive - Understanding of machine learning algorithms - Knowledge of geospatial data stores, experience with PostGIS is a plus - Desirable experience with data visualization tools Note: This Job Description is subject to change as per the company's requirements and policies.,

LogiNext is searching for a passionate Principle Engineer - Analytics to develop data products that extract valuable business insights for efficiency and customer experience. In this role, you will be responsible for managing, processing, and analyzing large amounts of raw information in scalable databases. Additionally, you will be tasked with creating unique data structures, writing algorithms for new products, and showcasing critical thinking and problem-solving skills. The ideal candidate should have experience in software development with advanced algorithms, the ability to handle large volumes of data, and exposure to statistics and machine learning algorithms. Familiarity with cloud environments, continuous integration, and agile scrum processes is a plus. Responsibilities: - Lead projects as a principal investigator and project manager to ensure project requirements are met on schedule - Develop software that incorporates data-driven intelligence in products dealing with Big Data backends - Perform exploratory analysis of data to design efficient data structures and algorithms based on specific requirements - Utilize advanced algorithm development for systems that may involve machine learning models and pipelines - Manage data in large-scale data stores such as NoSQL DBs, time series DBs, and Geospatial DBs - Create metrics and evaluate algorithms for improved accuracy and recall - Ensure efficient data access and utilization through methods like indexing and clustering - Collaborate with engineering and product development teams Requirements: - Masters or Bachelors degree in Engineering (Computer Science, Information Technology, Information Systems, or related field) from a top-tier school, or masters degree or higher in Statistics, Mathematics with a software development background - 8 to 10 years of experience in product development with algorithmic work - 5+ years of experience working with large datasets or conducting large-scale quantitative analysis - Understanding of SaaS-based products and services - Strong algorithmic problem-solving skills - Ability to mentor and manage a team, taking on team deadline responsibilities - Proficiency in Python programming languages - Understanding of software architecture and design - Project management experience with Agile practices - Familiarity with data processing analytics and visualization tools in Python (e.g., pandas, matplotlib, Scipy) - Strong understanding of SQL and querying to NoSQL databases (e.g., Mongo, Casandra, Redis) - Knowledge of working with and managing large databases including indexing, sharding, and caching - Familiarity with Big Data technologies like Hadoop, Yarn, Redshift, Spark, Kafka, Pig/Hive - Understanding of Machine learning algorithms - Knowledge of geospatial data stores, with experience in PostGIS considered a plus - Exposure to Data visualization is desirable,