Data Scientist
1 week ago
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
, we're rewriting the B2B landscape by empowering over 2,500 businesses worldwide with our award-winning SaaS solutions.
Our Products:
- Biztalk360
- Turbo360
- Document360
- Churn360
"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.
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 - 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 largescale, highdimensional data
- Build custom machine learning models for various usecases 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 wellknown Machine Learning Framework and best practices
Who'll be a good fit:
- Proven working experience of 12 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 ,MS SQL Server
- Working knowledge of applied machine learning techniques such as regression, clustering and forecasting of timeseries data
- 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:
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.
stands firmly against discrimination, ensuring equal opportunity for everyone to build a successful career.
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