Location: Worli, Mumbai
Experience: 3+ Years
Work Mode: 5 Days Work From Office (WFO)
Company: Tibil Solutions
Tibil Solutions is an IT consulting and data engineering company founded in 2010 that specializes in artificial intelligence, analytics, cloud data platforms, and business intelligence solutions. The company helps organizations across industries such as banking, retail, healthcare, manufacturing, and the social sector use data-driven technologies to improve decision-making and business performance.
Headquartered in Bengaluru with international presence in the USA and Australia, Tibil Solutions focuses on services like data engineering, machine learning, predictive analytics, and digital transformation for global clients.
We are looking for a skilled Data Scientist with strong experience in classical machine learning, regression modeling, and statistical analysis. The ideal candidate should have hands-on experience working with structured/tabular datasets and be able to translate data insights into actionable business solutions.
You will collaborate with cross-functional teams to build predictive models, analyze data trends, and communicate findings effectively to both technical and non-technical stakeholders.
Key Responsibilities- Develop, train, and deploy machine learning models to solve business problems.
- Perform data cleaning, preprocessing, and feature engineering on structured datasets.
- Apply statistical techniques such as hypothesis testing, probability analysis, and correlation studies.
- Build and validate regression and predictive models using machine learning techniques.
- Analyze large datasets to extract actionable insights.
- Work closely with product, engineering, and business teams to understand requirements.
- Communicate model performance, insights, and recommendations to stakeholders in a clear and concise manner.
- Continuously improve models through experimentation and evaluation.
- 3+ years of experience as a Data Scientist or in a similar role.
- Strong expertise in classical machine learning algorithms and regression modeling.
- Solid understanding of statistics including:
- Probability
- Statistical distributions
- Hypothesis testing
- Correlation analysis
- Proficiency in Python and key data science libraries:
- scikit-learn
- pandas
- NumPy
- Experience working with structured/tabular data.
- Strong analytical thinking and problem-solving skills.
- Ability to explain complex models and results to non-technical stakeholders.
