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Description:
As 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 include collaborating with startup teams to identify, analyze, and solve real-world challenges using data science and machine learning techniques.
You will design, implement, and deploy predictive models, recommendation engines, and other advanced analytics solutions.
The role involves working on projects spanning industries like fintech, healthcare, e-commerce, and artificial intelligence.
You will extract, clean, and transform structured and unstructured data to derive meaningful insights.
Communicating complex analytical findings to non-technical stakeholders through compelling visualizations and narratives is essential.
You must quickly adapt to new business domains and project requirements, bringing fresh perspectives to each engagement.
Collaboration with diverse international teams is required, 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 is required.
A strong foundation in statistics, predictive modeling, and data manipulation techniques is necessary.
Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, Scikit-learn, or XGBoost is essential.
You must have the 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 is required.
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 are necessary to thrive in fast-paced environments.
Excellent communication skills are required to translate complex data insights into actionable business strategies.
Benefits:
This position offers a flexible work schedule, allowing you to manage your time effectively while working on various engagements.
You will have the opportunity to work on diverse projects across multiple industries, enhancing your experience and skill set.
Compensation is based on the engagements you undertake, providing potential for financial growth based on your contributions.
You will collaborate with international teams, expanding your professional network and gaining insights from different perspectives.
The role encourages continuous learning and adaptability, fostering personal and professional growth in the field of data science.