Senior Data Scientist

What’s important to us:

We are seeking an experienced Senior Data Scientist Engineer to lead the design and development of advanced data systems that drive analytics, machine learning, and business intelligence. The ideal candidate has deep expertise in both data engineering and data science—skilled in handling complex datasets, building scalable predictive models, and delivering actionable insights that shape strategic decisions across the organization.

Key Responsibilities:

• Data mining or extracting usable data from valuable data sources
• Using machine learning tools to select features, create and optimize classifiers
• Carrying out the preprocessing of structured and unstructured data
• Enhancing data collection procedures to include all relevant information for developing analytic systems
• Processing, cleansing, and validating the integrity of data to be used for analysis
• Analyzing large amounts of information to find patterns and solutions
• Developing prediction systems and machine learning algorithms
• Presenting results in a clear manner
• Propose solutions and strategies to tackle business challenges
• Collaborate with Business and IT teams

Preferred Skills

• Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable.
• 5+ yrs of experience as a data scientist.
• Familiarity with Scala, Java, or C++ is an added advantage.
• Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.
• Proficiency in statistics is essential for data-driven companies.
• Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
• Strong Math Skills (Multivariable Calculus and Linear Algebra) – understanding the fundamentals of multivariable Calculus and Linear
• Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
• Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.
• Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data
• Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
• Strong Software Engineering Background.
• Hands-on experience with data science tools.
• Problem-solving aptitude.
• Analytical mind and great business sense.
• Degree in Computer Science, Engineering or relevant field is preferred.
• Proven Experience as Data Analyst or Data Scientist.

What Company Offers:

Excellent career growth opportunities and exposure to multiple technologies.
Fixed weekday day schedule, meaning, you’ll have your weekends off!
Family Medical Insurance.
Unique leave benefits and encashment options based on performance.
Long term growth opportunities.
Fun family environment surrounded by experienced developers.
Various internal employee rewards programs based on Performance.
Opportunities for various other Bonus programs – for training hours taken, certifications, special value to business through idea and innovation.
Work life Balance – flexible work timings, early out Fridays, various social and cultural activities etc.

Company Sponsored International Tours.