Data Scientist
9 hours ago
Are you a skilled data scientist looking to leverage your expertise to drive business success?
We're seeking a talented individual to join our team as a Data Scientist, where you'll harness advanced analytics to solve complex challenges and propel business growth. As a key member of our data science team, you'll work closely with stakeholders to gather requirements, deliver actionable insights, and develop data-driven solutions that meet business needs.
- Key Responsibilities:
- Develop, train, and implement predictive models and algorithms to drive business solutions.
- Analyze complex data sets to identify trends, patterns, and insights that can influence business decisions.
- Perform data mining to discover data patterns and trends, and develop advanced reporting and analytics dashboards to visualize results.
- Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions that drive business success.
- Stay up-to-date with industry trends and advancements in data analytics and visualization technologies.
Educational Background:
- Bachelor's and Master's degrees in Data Science, Computer Science, Statistics, or a related field.
Technical Skills:
- Proficient in Python and familiar with key data science libraries (Pandas, Scikit-Learn, TensorFlow, or PyTorch).
- Strong understanding of complex machine learning algorithms, including decision trees, random forests, and gradient boosting machines.
- Competence in data preprocessing, cleaning, and analysis, with familiarity in data cleaning, transformation, and preprocessing techniques.
- Experience in SQL and possibly some NoSQL databases for data querying and manipulation, with basic knowledge of data visualization tools like Matplotlib and Seaborn.
- Strong skills in SQL for data extraction and the ability to work with complex database systems, with advanced knowledge of analytical tools and software such as Excel, Tableau, or more specialized software depending on the industry.
- Vast knowledge of NLP, Deep Learning, Machine Learning, and genAI with implementation knowledge (LLM, fine tuning RAG implementation) and many more.
- Familiarity with cloud services (AWS, Azure, Google Cloud) for data processing and storage.
Professional Experience:
- 2-3 years of experience in a data science or related role, with a proven track record of developing and deploying machine learning models to solve business problems.
- Experience in projects that involve complex data structures and large-scale datasets, with exposure to model validation and implementation in a production environment.
- Demonstrated experience in analyzing large datasets and delivering actionable insights, with a proven track record of effectively communicating findings to help inform business decisions.
- Experience in performing statistical analysis, forecasting, and establishing data structures that optimize analytical capabilities.
Soft Skills:
- Strong problem-solving skills with a capability to work through complex issues using a logical and analytical approach.
- Good communication skills to effectively articulate insights and technical details to non-technical stakeholders.
- Ability to work collaboratively in team settings and manage project timelines effectively.
- Strong attention to detail with the capability to work on multiple projects simultaneously.
- Effective communication skills capable of presenting complex information in an understandable and compelling manner.
- Collaboration skills to work effectively with both technical teams and business units.
Why Join Us:
- Work with a globally recognized team on cutting-edge AI/ML projects.
- Be a part of a culture that values curiosity, continuous learning, and impact.
- Opportunity to collaborate with Fortune 500 clients and industry leaders.
- Grow your career by becoming an instructor and sharing your knowledge worldwide.
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