This role is for one of the Weekday's clientsAs a Consultant – Data Scientist, you will work on multiple short-term engagements with startups and small organizations across the globe, helping them harness the power of data. This is a full-time, flexible opportunity where you will be compensated based on the engagements you undertake. You will have the chance to contribute to diverse projects, from developing machine learning models for early-stage tech ventures to creating data-driven strategies that drive business growth.
Key Responsibilities:
- Data-Driven Problem Solving: Collaborate with startup teams to identify, analyze, and solve real-world challenges using data science and machine learning techniques.
- Model Development: Design, implement, and deploy predictive models, recommendation engines, and other advanced analytics solutions.
- Cross-Industry Impact: Work on projects spanning industries like fintech, healthcare, e-commerce, and artificial intelligence.
- Data Wrangling & Analysis: Extract, clean, and transform structured and unstructured data to derive meaningful insights.
- Visualization & Storytelling: Communicate complex analytical findings to non-technical stakeholders through compelling visualizations and narratives.
- Adaptability & Learning: Quickly adapt to new business domains and project requirements, bringing fresh perspectives to each engagement.
- Collaboration & Knowledge Sharing: Work with diverse international teams, providing strategic data insights and fostering data-driven decision-making.
Requirements
- Proficiency in Python, R, or SQL for data analysis, machine learning, and model deployment.
- Strong foundation in statistics, predictive modeling, and data manipulation techniques.
- Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, Scikit-learn, or XGBoost.
- Ability to process, analyze, and visualize data using tools like Pandas, NumPy, Matplotlib, and Power BI/Tableau.
- Familiarity with cloud platforms like AWS, GCP, or Azure for model deployment and scaling solutions.
- Experience working with big data technologies such as Spark, Hadoop, or NoSQL databases is a plus.
- Strong problem-solving skills, adaptability, and a growth mindset to thrive in fast-paced environments.
- Excellent communication skills to translate complex data insights into actionable business strategies.
