Lead a data science team to design, deploy, and monitor ML models in production. Build data pipelines, ensure data quality, run experiments, visualize results, and align projects with business goals.
Company Description
Kovai.co:
Kovai.co is a premier enterprise software company offering multiple products at scale both in the enterprise arena and in the B2B SaaS space.
We are a technology partner of choice for many of the world’s leading enterprises to manage and monitor their Microsoft BizTalk and Azure Serverless environments
Our product team consists of thinkers and innovators who are re-defining the way robust Enterprise Software and SaaS products are built. Headquartered in London, U.K and with a development center in Coimbatore, India, our engineers have niche skills and in-depth domain knowledge.
Trusted by over 1,000+ business around the world
Key Products
⦁ BizTalk360
⦁ Serverless360
⦁ Atomic Scope
⦁ Document360
At Kovai.co, we believe in creating a transparent and honest work environment for our employees. We build software products used by hundreds of enterprise customers world-wide by bringing human touch to business.
Job DescriptionOpportunity: Lead – Data Science
What you’ll do on the job:
- Manage a team of data scientists, machine learning engineers and big data specialists.
- Setup framework, and processes in which machine learning model are designed and deployed in a software application.
- Performing data quality checks for quality assurance
- Build data pipelines to supply quality data to machine learning models in production environment.
- Conducts studies to provide additional facts needed to make informed decisions for organizational and functional business opportunities.
- Test performance of data-driven products, visualize data and create reports.
- Experiment with new models and techniques and ensure alignment of data projects with organizational goals.
Who’ll be a good fit:
- Proven working experience of 5+ years as a Data Scientist and managed a team of data specialists.
- 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 time-series data.
- Familiarity with all aspects of the analytical cycle such as data wrangling and visualization, feature engineering, and model building.
- Exposure to cloud technology is a must have skill (Azure).
- Excellent critical thinking, verbal, and written communication skills.
Perks:
- Collaborative and fun team.
- Flat organizational structure.
- Rewards and recognition.
- Health care benefits.
- Upskill allowance.
- Located at the heart of the city with world class infrastructure
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