
Unlock Business Potential as a Senior Data Strategist
2 days ago
Job Title: Senior Data Scientist
Overview:
Join our organization as a senior data scientist to lead advanced analytics initiatives. The role involves working on large, complex datasets, building scalable data-driven solutions, and applying mathematical and algorithmic techniques to uncover insights.
Key Responsibilities:
- Implement solutions using modern AI/ML frameworks to build, train, and deploy machine learning models at scale.
- Develop and implement data similarity algorithms (e.g., Jaccard similarity, cosine similarity).
- Design and optimize data models across SQL and NoSQL databases.
- Work closely with engineers and stakeholders to deliver scalable, intelligent solutions.
- Design and implement advanced search and traversal algorithms for complex data structures.
- Work on large-scale, highly interconnected datasets to uncover patterns, insights, and business value.
- Use your mathematical expertise to solve algorithmic and analytical challenges.
- A quick learner with a proven ability to be adaptive to new technologies and evolving project requirements.
- Exceptional analytical and problem-solving skills with a keen attention to detail.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Required Skills:
- 6+ years in data science or architecture roles.
- Strong hands-on experience with SQL & NoSQL databases.
- Solid background in mathematics.
- Experience with search algorithms and data science workflows.
- Proficient in Python and relevant ML libraries.
- Proven knowledge of data similarity and search algorithms.
- Strong background in mathematics (linear algebra, statistics, probability, calculus).
Nice to Have:
- Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Exposure to distributed computing frameworks (e.g., Spark, Hadoop).
- Prior experience in architect-level roles in data-driven product teams.
- Understanding of electrical components.
Why Join Us:
We offer a collaborative environment, opportunities for growth and development, and competitive compensation packages. If you're passionate about data science and want to make a meaningful impact, apply today
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