Data Scientist
7 months ago
**Designation**:
Data Scientist
**Job Location**:
Gurugram, Udyog Vihar Phase 4
**Job Purpose**:
As a Data Scientist, you will play a pivotal role in leveraging data to drive actionable insights and solutions that support business objectives and drive innovation. You will work closely with new development and cross-functional teams to analyse complex datasets, develop predictive models, and deliver data-driven recommendations to solve business challenges.
**Responsibilities**:
- Data Exploration & Preparation: Collect, clean, and pre-process data from various sources, including structured and unstructured data. Explore and understand data characteristics, patterns, and anomalies.
- Feature Engineering & Selection: Engineer relevant features from raw data and select the most predictive features for modelling. Optimize feature selection techniques to improve model performance.
- Model Development & Evaluation: Develop and train machine learning models using appropriate algorithms and methodologies. Evaluate model performance using metrics such as accuracy, precision, recall, and AUC.
- Data Visualization & Interpretation: Create visualizations and dashboards to communicate insights and findings to stakeholders. Translate complex analytical results into actionable recommendations for business leaders.
- Experimentation & A/B Testing: Design and execute experiments to test hypotheses and validate model performance. Analyse experiment results and provide insights to improve decision-making.
- Collaboration & Communication: Collaborate with cross-functional teams, including data engineers, business analysts, and stakeholders. Communicate findings, methodologies, and recommendations effectively to both technical and non-technical audiences.
- Continuous Learning & Development: Stay updated on the latest trends, tools, and techniques in data science and related fields. Continuously enhance your skills and expertise through self-learning, training, and professional development opportunities.
**Desired Skills**:
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or related field. Advanced degree (e.g., Master’s) preferred.
- Proven experience (5+ years) in data science, machine learning, or related roles.
- Strong proficiency in programming languages such as Python or others. Experience with libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or Spark is a plus.
- Solid understanding of statistical analysis, machine learning algorithms, and data mining techniques.
- Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
- Excellent analytical and problem-solving skills. Ability to work with large datasets and complex analytical challenges.
- Strong communication and collaboration skills. Ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
- Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark) is a plus.
**Education**:
B. Tech, M. Tech, BCA, MCA
**Total Experience**:
5-8 Years
**Relevant Experience**:
5 Years
**CTC per annum**:
As per Industry Standard
**Preferred Domain**:
IT or Healthcare IT
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