Data Scientist

Kovai.co is a catalyst, sparking a revolution in the world of enterprise software and B2B SaaS, we are a technology powerhouse delivering best-in-class enterprise software and game-changing SaaS solutions across industries. At Kovai.co, we're rewriting the B2B landscape by empowering over 2, businesses worldwide with our award-winning SaaS solutions. Our Products : BiztalkTurboDocument “UK headquarters. Indian innovation. Global impact.”Our journey has been nothing short of remarkable, having witnessed exponential growth and profitability right from our inception.We are on track towards $30 million in annual revenue – and we're just getting started. Kovai.co is fueled by a tribe of thoughtful helpers, obsessed with empowering customers, uplifting colleagues, and igniting our own journeys. Redefining tech is our game. Are you in? Join Kovai.co – where passion meets purpose.What's the job : Data ScientistWhat you’ll do on the job : Understand business problems and formulate hypothesisCollecting and interpreting data, analyzing results, identifying patterns and trends in large data setsResearch and develop advanced statistical and machine learning models for analysis of large-scale, high-dimensional dataBuild custom machine learning models for various use-cases such as recommendation, insight generation, forecasting, anomaly detection, and so onPerforming data quality checks for quality assuranceBuild data pipelines to supply quality data to machine learning model in production environmentSupports innovative analytical thinking & solutions that results into improved business performance Writing reports based on insights gained from exploratory data analysis and able to articulate it to product ownerPractice industry well-known Machine Learning Framework and best practicesWho’ll be a good fit :  Proven working experience of 2+ years as a Data ScientistStrong in mathematics - statistics, probability, linear algebra, time seriesProficiency in working with large datasets and data wrangling using SQL (Structured Query Language)Familiar with tools such as JuPyteR, Tensorflow ,Python , Azure ML, Prophet (Open source software), MS SQL ServerWorking knowledge of applied machine learning techniques such as regression, clustering, forecasting of time-series data and Classification modelsProficiency in LSTM, hypothesis testing and supervised learning / unsupervised learning.Familiarity with all aspects of the analytical cycle such as data wrangling and visualisation, feature engineering, and model buildingWrite scalable scripts to fetch or modify data from API endpointsExposure to cloud technology is preferred (Azure)Excellent critical thinking, verbal, and written communication skillsEqual Opportunities :  Kovai.co is committed to building a workforce that reflects the richness of our society. We believe in fostering a culture of belonging and respect for all. Kovai.co stands firmly against discrimination, ensuring equal opportunity for everyone to build a successful career. Submit Your Application You have successfully applied You have errors in applying Apply With Resume

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Kovai.co is a catalyst, sparking a revolution in the world of enterprise software and B2B SaaS, we are a technology powerhouse delivering best-in-class enterprise software and game-changing SaaS solutions across industries.

At Kovai.co , we're rewriting the B2B landscape by empowering over 2, businesses worldwide with our award-winning SaaS solutions.

Our Products :

Biztalk

Turbo

Document

“UK headquarters. Indian innovation. Global impact.”

Our journey has been nothing short of remarkable, having witnessed exponential growth and profitability right from our inception.

We are on track towards $30 million in annual revenue – and we're just getting started.

Kovai.co is fueled by a tribe of thoughtful helpers, obsessed with empowering customers, uplifting colleagues, and igniting our own journeys.

Redefining tech is our game. Are you in? Join Kovai.co – where passion meets purpose.

What's the job :  Data Scientist

What you’ll do on the job :

Understand business problems and formulate hypothesis

Collecting and interpreting data, analyzing results, identifying patterns and trends in large data sets

Research and develop advanced statistical and machine learning models for analysis of large-scale, high-dimensional data

Build custom machine learning models for various use-cases such as recommendation, insight generation, forecasting, anomaly detection, and so on

Performing data quality checks for quality assurance

Build data pipelines to supply quality data to machine learning model in production environment

Supports innovative analytical thinking & solutions that results into improved business performance

Writing reports based on insights gained from exploratory data analysis and able to articulate it to product owner

Practice industry well-known Machine Learning Framework and best practices

Who’ll be a good fit :

Proven working experience of 2+ years as a Data Scientist

Strong in mathematics - statistics, probability, linear algebra, time series

Proficiency in working with large datasets and data wrangling using SQL (Structured Query Language)

Familiar with tools such as JuPyteR, Tensorflow ,Python , Azure ML, Prophet (Open source software) , MS SQL Server

Working knowledge of applied machine learning techniques such as regression, clustering, forecasting of time-series data and Classification models

Proficiency in LSTM, hypothesis testing and supervised learning / unsupervised learning.

Familiarity with all aspects of the analytical cycle such as data wrangling and visualisation, feature engineering, and model building

Write scalable scripts to fetch or modify data from API endpoints

Exposure to cloud technology is preferred (Azure)

Excellent critical thinking, verbal, and written communication skills

Equal Opportunities :

Kovai.co is committed to building a workforce that reflects the richness of our society. We believe in fostering a culture of belonging and respect for all. Kovai.co stands firmly against discrimination, ensuring equal opportunity for everyone to build a successful career.

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