BENGALURU · FULLTIME
Data Scientist
Tibil Solutions
Bengaluru · onsite · Posted 4d ago
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Section · 01
About this role
Requirements:
- Strong understanding of machine learning algorithms (supervised and unsupervised).
- Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, or similar).
- Experience in NLP techniques and libraries (NLTK, spaCy, Hugging Face, etc. ).
- Solid knowledge of statistics, probability, and data analysis methods.
- Proficiency in SQL for querying relational databases.
- Strong programming skills in Python (or similar languages).
- Excellent communication skills with the ability to explain complex concepts simply.
- 3+ years of hands-on experience as a data scientist or in a similar role.
- Strong expertise in classical machine learning and regression modeling.
- Solid understanding of statistics, including probability, distributions, hypothesis testing, and correlation analysis.
- Proficiency in Python with libraries such as scikit-learn, pandas, and NumPy.
- Experience working with structured/tabular data.
- Strong problem-solving and analytical thinking skills.
- Ability to clearly explain models and results to non-technical stakeholders.
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Section · 02
Skills
Section · Company
About Tibil Solutions
Tibil Solutions
Software Product
157
employees
2010
16 years old
Bangalore
India
₹7.3L PA avg
Avg at Tibil Solutions
About
We are a data engineering and analytics company enabling organizations leverage data for competitive advantage. TIBIL enable businesses from Banking & Financial Services, Retail, Healthcare, Manufacturing, Social Sector verticals to achieve better agility, growth and profitability.
Our name TIBIL is derived from Mayan script meaning “GOOD”. Founded in 2010, TIBIL is headquartered in Bangalore with offices in Illinois and Hyderabad, India. We serve more than 60 clients in USA, Middle East, APAC and India. We have a strong leadership team with collective experience of 150+ years and pedigree of working in F500 companies.
Our solutions help you achieve your business goals through reliable and intelligent data management. We offer data validation, data engineering and feature engineering services to integrate, verify, prepare and transform data into formats that can be accessed by analytical models and tools. We drive data analytics using new generation data analysis tools, ML/AI, and industry-grade statistical models to deliver advanced, real-time analytics.
We leverage our iDEA framework to:
1) Integrate and organize large volumes and diverse formats of data from disparate sources
2) Transform the prepared data into derived variables
3) Analyse the data and build models for analytical solutions
4) Derive insights to help you architect key decisions
We help you find answers for the following in your quest to derive insights for your business initiatives:
1) Do we have all the data that I need?
2) Have we considered all sources of data?
3) Is our data accurate and reliable?
4) How do we make sense of the data generated from initiatives such as IoT, mobility and cloudification?
5) How do we convert these huge volumes of data into a format that I can leverage for analytics?
6) How do we convert all my data to get visual reports for forecasting, app usage, user behavior patterns?
7) How do we leverage ML and AI algorithms and models to convert data to business insights
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10 reviews
Culture
3.0
Career growth
3.3
Work-life
3.1
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