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Algorithms Jobs in Chandigarh

Explore top Algorithms Job opportunities in Chandigarh for Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.

Data Scientist

Founded 2018
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Chandigarh
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2 - 5 years
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4 - 6 lacs/annum

Job Summary DataToBiz is an AI and Data Analytics Services startup. We are a team of young and dynamic professionals looking for an exceptional data scientist to join our team in Chandigarh. We are trying to solve some very exciting business challenges by applying cutting-edge Machine Learning and Deep Learning Technology. Being a consulting and services startup we are looking for quick learners who can work in a cross-functional team of Consultants, SMEs from various domains, UX architects, and Application development experts, to deliver compelling solutions through the application of Data Science and Machine Learning. The desired candidate will have a passion for finding patterns in large datasets, an ability to quickly understand the underlying domain and expertise to apply Machine Learning tools and techniques to create insights from the data. Responsibilities and Duties As a Data Scientist on our team, you will be responsible for solving complex big-data problems for various clients (on-site and off-site) using data mining, statistical analysis, machine learning, deep learning. One of the primary responsibilities will be to understand the business need and translate it into an actionable analytical plan in consultation with the team. Ensure that the analytical plan aligns with the customer’s overall strategic need. Understand and identify appropriate data sources required for solving the business problem at hand. Explore, diagnose and resolve any data discrepancies – including but not limited to any ETL that may be required, missing value and extreme value/outlier treatment using appropriate methods. Execute project plan to meet requirements and timelines. Identify success metrics and monitor them to ensure high-quality output for the client. Deliver production-ready models that can be deployed in the production system. Create relevant output documents, as required – power point deck/ excel files, data frames etc. Overall project management - Creating a project plan and timelines for the project and obtain sign-off. Monitor project progress in conjunction with the project plan – report risks, scope creep etc. in a timely manner. Identify and evangelize new and upcoming analytical trends in the market within the organization. Implementing the applications of these algorithms/methods/techniques in R/Python Required Experience, Skills and Qualifications 3+ years experience working Data Mining and Statistical Modeling for predictive and prescriptive enterprise analytics. 2+ years of working with Python, Machine learning with exposure to one or more ML/DL frameworks like Tensorflow, Caffe, Scikit-Learn, MXNet, CNTK. Exposure to ML techniques and algorithms to work with different data formats including Structured Data, Unstructured Data, and Natural Language. Experience working with data retrieval and manipulation tools for various data sources like: Rest/Soap APIs, Relational (MySQL) and No-SQL Databases (MongoDB), IOT data streams, Cloud-based storage, and HDFS. Strong foundation in Algorithms and Data Science theory. Strong verbal and written communication skills with other developers and business client Knowledge of Telecom and/or FinTech Domain is a plus.

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Ankush Sharma
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Software Development Engineer 3

Founded 2008
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Anywhere
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7 - 14 years
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30 - 50 lacs/annum

You’re Part: Communication Drive discussions to create/improve product, process and technology Coding Thinking tools, creating tools Build abstractions and contracts with separation of concerns for a larger scope Rapid proto-typing Robust and scalable web-based applications Design Do high level design with guidance; Functional modelling, break-down of a module Thinking platforms & reuse Architecture Do incremental changes to architecture: impact analysis of the same Do performance tuning and improvements in large scale distributed systems Org Development Mentor young minds and foster team spirit You’re Array (Nice to Haves): The farsightedness it takes to look at business problems critically from more than one perspective. The capability to craft object-oriented models and design data structures, implement business logic and data models with suitable class design. Ability to break-down larger/fuzzier problems into smaller ones in the scope of the product Sound soft skills to gel with colleagues from other teams in order to harness the development process. An understanding of the industry’s coding standards and an ability to create appropriate technical documentation. You (Must Haves): Extensive and expert programming experience in any one programming language (strong OO skills preferred). Deep experience in at least one Object Oriented programming language (Java/C/C++, Ruby, Clojure, Scala,and SQL) A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design. Have a penchant for solving complex and interesting problems Worked in startup like environment with high levels of ownership and commitment BTech, MTech, or PhD in Computer Science or related technical discipline (or equivalent). Excellent coding skills – should be able to convert design into code fluently Good skills to write unit & integration tests with reasonable coverage of code & interfaces - TDD is a plus Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with huge amount of data. Experience with multi-threading and concurrency programming Above exposure in the art of writing codes and solving problems for large scale. You’re Cheers! Apart from all the general benefits of best in industry compensation, equity, healthcare etc , Flipkart prides in calling out the big hand for you to be Great Work, Great People and Great environment. We call ourselves an incubator for engineers where you get all the optimal conditions to do and experience your best.

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