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Data Scientist - Business Intelligence

2.00 to 6.00 Years   Bangalore   01 Dec, 2023
BOYEN HADDIN CONSULTING AND TECHNOLOGY PRIVATE LIMITED
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaSite Engineering / Project Management
EmploymentTypeFull-time

Job Description

    Good theoretical understanding of statistics and probability - includes hypothesis testing, different probability distributions (both discrete and continuous), fundamental theorems such as Weak law of large numbers and Central limit theorem - Practical knowledge of applying statistics and probability : Identifying suitable approaches for different problem statements, recognizing which cases are statistically significant, and in general a good intuition of how data is distributed across different attributes in a dataset - Strong in Linear Algebra - visualizing vector spaces, linear transformations, projections - mappings - encodingsembeddings - hash functions, dimensionality reduction techniques, and ability to represent data points inappropriate vector spaces (including mixed data type datasets), comfortable in visualizing matrix multiplication and standard matrices used to represent information - Calculus : Basic understanding of ordinary and partial differentiation techniques which are useful for gradient descent, back-propagation in neural networks, and modeling time series. Integration is a nice to have the skillset, mainly needed for understanding research papers that cover the state-of-the-art algorithms - Optimization : Parametric and non-parametric optimization algorithms, how to model the objective function appropriately (considering both business and mathematical constraints), - Innovation : Coming up with closed-form expressions that model patterns and behavior in datasets (if needed) and capture appropriate custom performance metrics for various problem statements, using available data - Good working knowledge of SQL and NoSQL databases, algorithms, and programming paradigms - Knowledge of popular cloud platforms ability to build APIs on them - Excellent working knowledge of machine learning on technology stacks such as Python, NumPy, SciPy, Scikit-Learn, Apache Spark, and R - Good working knowledge of deep learning frameworks such as TensorFlow, PyTorch, Keras, Caffe and an ability to work with frameworks such as Tesseract, OpenCV, etc. - Ability to work effectively in a Linux environment, on cloud-based virtual machines and containers - Excellent interpersonal, presentation and written communication skills are a must - Math to code proficiency - Once a mathematical frameworkmodelalgorithm is defined, well understood, the ability to seamlessly convert the mathematical logic to programming logic. (Nice to have - optimized implementation of math logic in code) - Identifying suitable data structures to represent intermediate artifacts in code - Sets, lists & list comprehension, dictionaries, generators to store intermediate model artifacts, and other metrics which must be captured - Independent thinking to validate and debug own and collaborative code development - The ability to independently question and critique the programming logic which will help in validating or debugging appropriately - Learning mindset - Ability to regularly look up documentationrelevant forums when bugs are encountered. Confident to voice out concerns in group brainstorming discussions and eventually produce robust peer-reviewed code - Good to have skills: business analysis, business intelligence, CICD methods, MLOPS Role: Data Scientist Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning

Keyskills :
data engineeringbusiness intelligence

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