Data Scientist with Python
6 days ago
We are looking for a skilled and driven **Data Scientist with expertise in Python** to join our team. In this role, you will leverage your analytical mindset and technical abilities to extract meaningful insights from complex datasets and develop predictive models that drive business decisions. This is an exciting opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and make a real impact on our organization.
**Key Responsibilities**
- **Data Analysis & Modeling**:
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in structured and unstructured data.
- Build and optimize predictive models, statistical analyses, and machine learning algorithms.
- **Programming with Python**:
- Develop and implement scalable data pipelines using Python.
- Utilize Python libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Matplotlib, etc.) to process, analyze, and visualize data.
- **Data Wrangling & Engineering**:
- Extract, clean, and transform raw data into usable formats for analysis.
- Collaborate with data engineers to ensure data integrity and create robust data storage solutions.
- **Visualization & Communication**:
- Present insights through compelling data visualizations using Python tools (e.g., Seaborn, Plotly) or BI platforms (e.g., Tableau, Power BI).
- Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
- **Collaboration & Innovation**:
- Work closely with business analysts, software engineers, and stakeholders to identify data-driven opportunities and solve complex business challenges.
- Stay updated on the latest advancements in data science, machine learning, and AI to propose innovative solutions.
**Qualifications**
**Required Skills**:
- Strong proficiency in Python and its data-related libraries (e.g., Pandas, NumPy, Scikit-learn).
- Experience with machine learning techniques (e.g., regression, classification, clustering) and frameworks (e.g., TensorFlow, PyTorch).
- Knowledge of data visualization tools and techniques.
- Hands-on experience with SQL for querying and managing databases.
- Strong analytical and problem-solving skills with a focus on detail and accuracy.
**Preferred Skills**:
- Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) and big data tools (e.g., Hadoop, Spark).
- Experience with deep learning techniques and NLP.
- Knowledge of version control systems (e.g., Git).
Schedule:
- Night shift
Application Question(s):
- How soon you can start?
Please Note: This role will be initially 1 month fulltime then may get extension or convert to consulting as needed basis.
**Experience**:
- Python: 5 years (required)
Shift availability:
- Night Shift (preferred)
Work Location: Remote
Expected Start Date: 19/12/2024
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