
Expert Data Science Professional
6 days ago
Job Description:
">As a seasoned Data Science professional, you will have the unique opportunity to apply advanced Machine Learning and Deep Learning techniques to drive business growth. You will be part of a dynamic team that leverages data insights to inform strategic decisions.
">Key responsibilities include:
">- ">
- Developing and implementing end-to-end data science solutions using structured and unstructured data.">
- Designing and building predictive models to explore data and answer specific research questions.">
- Collaborating with cross-functional teams to improve the effectiveness of computational models through data-driven insights.">
- Supporting junior team members in their development as data science professionals.">
- Mentoring and guiding more senior colleagues in their application of machine learning techniques.">
Required Skills & Qualifications:
">- ">
- A minimum of 5+ years of experience as a Data Scientist or ML Engineer, working on real-world AI/ML projects.">
- Strong expertise in Machine Learning, Deep Learning, NLP, and Computer Vision techniques.">
- Hands-on experience with Generative AI models, and an understanding of multi-modal neural networks and Transformer architectures.">
- Proficiency in Python, R, and key ML/DL libraries (Scikit-learn, Pandas, TensorFlow, PyTorch, etc.).">
- Strong knowledge of SQL-based and NoSQL databases (MySQL, PostgreSQL, Oracle, MongoDB).">
- Experience with statistical tools and platforms like WEKA, KNIME, Power BI, etc.">
- Working experience with Big Data technologies – HDFS, Spark, Hive, Sqoop, MapReduce.">
- Good understanding of cloud platforms (AWS, Azure, or GCP) – any hands-on experience is a plus.">
- Excellent analytical, problem-solving, and communication skills.">
- Domain experience in Automotive, Manufacturing, E-commerce, Aviation, or Digital Platforms is highly desirable.">
- Ability to work both independently and within a team setting with a proactive mindset.">
Preferred Qualifications:
">- ">
- Education: A bachelor's degree in computer science, computer engineering, information technology, or a related field is typically the minimum requirement. Preferred a master's degree in data science, or a related field for advanced roles.">
- Experience: Data Scientist requires 5+ years of experience in related fields such as database administration, data engineering, programming and data analytics.">
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