ConsultBae
Data Scientist
- Compensation
- Not disclosed
- Location
- Gurgaon/Gurugram
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data science
- Posted
Skills
Must have
- - 2+ years of experience in Data Science, Machine Learning, or a related field.
- - Strong understanding of Machine Learning algorithms, model development, and evaluation techniques.
- - Hands-on experience with Python and libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn.
- - Experience working with SQL and handling large datasets.
- - Familiarity with Power BI for dashboard creation and data visualization.
- - Strong analytical and problem-solving skills.
- - Excellent communication and stakeholder management abilities.
- - Strong Machine Learning fundamentals.
- - Hands-on coding expertise in Python.
- - Ability to translate business problems into analytical solutions.
- - Data-driven mindset with attention to detail.
- - Eagerness to learn and work in a fast-paced environment.
Nice to have
- - Experience with predictive analytics, classification, regression, clustering, or recommendation systems.
- - Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.
- - Understanding of data pipelines and ETL processes.
- - Knowledge of Deep Learning frameworks such as TensorFlow or PyTorch is advantageous.
Full description
About the Role :
We are looking for a highly motivated and analytical Data Scientist with around 2 years of experience to join our growing team in Gurgaon. The ideal candidate should have strong expertise in Machine Learning, hands-on experience with Python, and familiarity with Power BI for data visualization and reporting. This role offers an opportunity to work on real-world business problems, build predictive models, and generate actionable insights from large datasets.
Key Responsibilities :
- Develop, train, and deploy Machine Learning models to solve business challenges.
- Analyze structured and unstructured data to identify trends, patterns, and opportunities.
- Perform data cleaning, preprocessing, feature engineering, and model evaluation.
- Build predictive and statistical models to improve business decision-making.
- Write efficient and scalable code using Python and relevant data science libraries.
- Create dashboards, reports, and visualizations using Power BI to communicate insights to stakeholders.
- Collaborate with business, product, and engineering teams to understand requirements and deliver data-driven solutions.
- Monitor model performance and recommend improvements where necessary.
- Stay updated with the latest advancements in Machine Learning and Data Science.
Required Skills & Qualifications :
- 2+ years of experience in Data Science, Machine Learning, or a related field.
- Strong understanding of Machine Learning algorithms, model development, and evaluation techniques.
- Hands-on experience with Python and libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn.
- Experience working with SQL and handling large datasets.
- Familiarity with Power BI for dashboard creation and data visualization.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
Preferred Qualifications :
- Experience with predictive analytics, classification, regression, clustering, or recommendation systems.
- Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.
- Understanding of data pipelines and ETL processes.
- Knowledge of Deep Learning frameworks such as TensorFlow or PyTorch is advantageous.
What We're Looking For :
- Strong Machine Learning fundamentals.
- Hands-on coding expertise in Python.