You excel at software engineering and programming in Python and SQL for production systems. You have a diverse range of data skills including experimentation, statistics, and machine learning, andhave used these skills to inform business decisions. You have a keen eye for detail and a healthy skepticism for data before relying upon it. You are highly entrepreneurial. You teach yourself new skills. You take the initiative to solve problemsbefore they arise. You know that startups are a team sport. You listen to others, speak your mind, and ask the rightquestions. You are a great collaborator and teacher. You are driven by making an impact on customers’ lives.
We are looking for a leader to design, develop and deliver strategic data-centric insights leveraging the next generation analytics and BI technologies. We want someone who is data-centric and insight-centric, less report centric. We are looking for someone wishing tomake an impact by enabling innovation and growth; someone with passion for what they do and a vision for the future. Responsibilities: Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights. Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth. Become an expert on data and trends, both internal and external to Kaleidofin. Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently. Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives. Automate scheduling and distribution of reports and support auditing and value realization. Partner with enterprise architects to define and ensure proposed. Business Intelligence solutions adhere to an enterprise reference architecture. Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks Requirements: Experience leading development efforts through all phases of SDLC. 5+ years "hands-on" experience designing Analytics and Business Intelligence solutions. Experience with Quicksight, PowerBI, Tableau and Qlik is a plus. Hands on experience in SQL, data management, and scripting (preferably Python). Strong data visualisation design skills, data modeling and inference skills. Hands-on and experience in managing small teams. Financial services experience preferred, but not mandatory. Strong knowledge of architectural principles, tools, frameworks, and best practices. Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation. Team handling preferred for 5+yrs experience candidates. Notice period less than 30 days.
Ganit has flipped the data science value chain as we do not start with a technique but for us, consumption comes first. With this philosophy, we have successfully scaled from being a small start-up to a 200 resource company with clients in the US, Singapore, Africa, UAE, and India. We are looking for experienced data enthusiasts who can make the data talk to them. You will: Understand business problems and translate business requirements into technical requirements. Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it. Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization. Gather requirements and communicate findings in the form of a meaningful story with the stakeholders Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery adoption. Lead and mentor data analysts. We are looking for someone who has: Apart from your love for data and ability to code even while sleeping you would need the following. Minimum of 02 years of experience in designing and delivery of data science solutions. You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off. Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand. Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc. Bachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics Skillset Required: Regression Classification Predictive Modelling Prescriptive Modelling Python R Descriptive Modelling Time Series Clustering What is in it for you: Be a part of building the biggest brand in Data science. An opportunity to be a part of a young and energetic team with a strong pedigree. Work on awesome projects across industries and learn from the best in the industry, while growing at a hyper rate. Please Note: At Ganit, we are looking for people who love problem solving. You are encouraged to apply even if your experience does not precisely match the job description above. Your passion and skills will stand out and set you apart—especially if your career has taken some extraordinary twists and turns over the years. We welcome diverse perspectives, people who think rigorously and are not afraid to challenge assumptions in a problem. Join us and punch above your weight! Ganit is an equal opportunity employer and is committed to providing a work environment that is free from harassment and discrimination. All recruitment, selection procedures and decisions will reflect Ganit’s commitment to providing equal opportunity. All potential candidates will be assessed according to their skills, knowledge, qualifications, and capabilities. No regard will be given to factors such as age, gender, marital status, race, religion, physical impairment, or political opinions.
3+ years of experience in Machine Learning Bachelors/Masters in Computer Engineering/Science. Bachelors/Masters in Engineering/Mathematics/Statistics with sound knowledge of programming and computer concepts. 10 and 12th acedemics 70 % & above. Skills : - Strong Python/ programming skills - Good conceptual understanding of Machine Learning/Deep Learning/Natural Language Processing - Strong verbal and written communication skills. - Should be able to manage team, meet project deadlines and interface with clients. - Should be able to work across different domains and quickly ramp up the business processes & flows & translate business problems into the data solutions
Job Description Be a part of the team that develops and maintains the analytics and data science platform. Perform functional, technical, and architectural role and play a key role in evaluating and improving data engineering, data warehouse design and BI systems. Develop technical architecture designs which support a robust solution and leads full-lifecycle availability of real-time Business Intelligence (BI) and enable the Data Scientists Responsibilities ● Construct, test and maintain data infrastructure and data pipelines to meet business requirements ● Develop process workflows for data preparations, modelling and mining Manage configurations to build reliable datasets for analysis Troubleshooting services, system bottlenecks and application integration ● Designing, integrating and documenting technical components, dependencies of big data platform Ensuring best practices that can be adopted in Big Data stack and share across teams ● Working hand in hand with application developers and data scientists to help build softwares that scales in terms of performance and stability Skills ● 3+ years of experience managing large scale data infrastructure and building data pipelines/ data products. ● Proficient in - Any data engineering technologies and proficient in AWS data engineering technologies is plus. ● Language - python, scala or go ● Experience in working with real time streaming systems Experience in handling millions of events per day Experience in developing and deploying data models on Cloud ● Bachelors/Masters in Computer Science or equivalent experience Ability to learn and use skills in new technologies
Key Responsibilities:• Apply Data Mining/ Data Analysis methods using a variety of data tools, building andimplementing models using algorithms and creating/ running simulations to drive optimisation and improvement across business functions• Assess accuracy of new data sources and data gathering techniques• PerformExploratory Data Analysis, detailed analysis of business problems and technical environments indesigning the solution• Apply Supervised, Unsupervised, Reinforcement Learning and Deep Learning algorithms• Apply advanced Machine Learning Algorithms and Statistics:o Regression, Simulation, Scenario Analysiso Time Series Modellingo Classification -Logistic Regression, Decision Trees, SVM, KNN, Naive Bayeso Clustering, K-Means, Aprioprio Ensemble Models -Random Forest, Boosting, Baggingo Neural Networks• Lead and manage Proof of Concepts and demonstrate the outcomes quickly• Document use cases, solutions and recommendations• Work analytically in a problem-solving environment• Work in a fast-paced agile development environment• Coordinate with different functional teams to implement models and monitor outcomes• Work with stakeholders throughout the organization to identify opportunities for leveraging organisationdata and apply Predictive Modelling techniques to gain insights across businessfunctions -Operations,Products, Sales, Marketing, HR and Finance teams• Help program and project managers in the design, planning and governance of implementing DataScience solutions
JD: Required Skills: Intermediate to Expert level hands-on programming using one of programming language- Java or Python or Pyspark or Scala. Strong practical knowledge of SQL.Hands on experience on Spark/SparkSQL Data Structure and Algorithms Hands-on experience as an individual contributor in Design, Development, Testing and Deployment of Big Data technologies based applications Experience in Big Data application tools, such as Hadoop, MapReduce, Spark, etc Experience on NoSQL Databases like HBase, etc Experience with Linux OS environment (Shell script, AWK, SED) Intermediate RDBMS skill, able to write SQL query with complex relation on top of big RDMS (100+ table)
We are building the AI core for a Legal Workflow solution. You will be expected to build and train models to extract relevant information from contracts and other legal documents. Required Skills/Experience: - Python - Basics of Deep Learning - Experience with one ML framework (like TensorFlow, Keras, Caffee) Preferred Skills/Expereince: - Exposure to ML concepts like LSTM, RNN and Conv Nets - Experience with NLP and Stanford POS tagger
Job Description: Data Science Analyst/ Data Science Senior Analyst Job description KSTYCH is seeking a Data Science Analyst to join our Data Science team. Individuals in this role are expected to be comfortable working as a software engineer and a quantitative researcher, should have a significant theoretical foundation in mathematical statistics. The ideal candidate will have a keen interest in the study of Pharma sector, network biology, text mining, machine learning, and a passion for identifying and answering questions that help us build the best consulting resource and continuous support to other teams. Responsibilities Work closely with a product scientific, medical, business development and commercial to identify and answer important healthcare/pharma/biology questions. Answer questions by using appropriate statistical techniques and tools on available data. Communicate findings to project managers and team managers. Drive the collection of new data and the refinement of existing data sources Analyze and interpret the results of an experiments Develop best practices for instrumentation and experimentation and communicate those to other teams Requirements B. Tech, M.Tech, M.S. or Ph.D. in a relevant technical field, or 1+ years experience in a relevant role Extensive experience solving analytical problems using quantitative approaches Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources A strong passion for empirical research and for answering hard questions with data A flexible analytic approach that allows for results at varying levels of precision Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner Fluency with at least one scripting language such as Python or PHP Familiarity with relational databases and SQL Experience working with large data sets, experience working with distributed computing tools a plus (KNIME, Map/Reduce, Hadoop, Hive, etc)