Project Partner
1 week ago
**Organization**:
**MOL Information Technology (MOL-IT)** is the **Digital Transformation Partner** of the MOL Group, delivering customized technology solutions that drive efficiency, innovation, and sustainability across shipping, logistics, and supply chain domains. Established in 1997, MOL-IT operates from three locations—**Kolkata, Hyderabad and Mumbai**—with a team of over **400 software and management professionals**. In alignment with the MOL Group’s strong commitment to **sustainable growth**, MOL-IT is advancing its digital capabilities to support decarbonization, automation, and smart operations. As part of its growth strategy, MOL-IT continues to deepen its impact within the MOL Group by aligning digital transformation initiatives with the Group’s long-term sustainability goals.
**Key Responsibilities**
- Collect, clean, and analyze structured and unstructured data from various sources.
- Hands-on experience in ML, data handling, data cleaning are mandatory
- Proficiency in Python or similar programming languages.
- Experience with SQL and working with large datasets.
- Solid understanding of statistical analysis and machine learning techniques.
- Familiarity with data visualization tools (e.g., Tableau, Power BI, or matplotlib/seaborn).
- Develop predictive models and machine learning algorithms to support business decisions.
- Design experiments and A/B tests to validate hypotheses and drive continuous improvement.
- Create data visualizations and dashboards to communicate findings to stakeholders.
- Collaborate with cross-functional teams including Engineering, Product, and Marketing.
- Translate business challenges into data problems and deliver practical solutions.
- Ensure the quality, integrity, and security of data used in analysis and reporting.
**Qualifications**
**Required**:
- Bachelor’s or master’s degree in data science, Statistics, Computer Science, Mathematics, or related field.
- 1-3 years of experience in a data science or analytics role.
**Preferred**:
- Knowledge of cloud platforms (AWS, GCP, or Azure) and big data tools (e.g., Spark, Hadoop).
- Strong communication skills and ability to present complex data in a clear and actionable manner.
**CTC -As per the industry standard
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