Data Scientist

4 weeks ago

delhi, India Cloudcraftz Full time
About Cloudcraftz Solutions Pvt Ltd:
Cloudcraftz is an innovative Applied AI and Analytics solutions provider using market-leading frameworks. We translate ideas into prototypes and prototypes into solutions driving tangible data-driven business outcomes. Proprietary State-of-the-art Analytics Frameworks and cutting-edge platforms for EDA, Explainable AI, Synthetic Data Generation enable quick turnaround time, consistency and in-depth insights and this enables us to deliver unparallel value to our global customers. Being platform agnostic enables us to deliver in real-world scenarios of multiple platforms and data sources. Cloudcraftz provides rapid experimentation and validation for AI/ML use cases. The ability to turn POCs into full-scale products and handover to clients to deliver measurable business outcomes is what sets us apart as true partners for our clients.
Founded by senior thought leaders in the Banking industry with over a century of global experience and led by experts with decades of Banking experience along with a team of top PHDs, Data scientists and Kagglers, Cloudcraftz is uniquely positioned to grow fast and become a leader in financial services analytics.
Job Overview:
We are in search of a seasoned Data Scientist with a minimum of 3 years of experience to join us. As a Data Scientist, you will be responsible for developing advanced statistical models, leveraging mathematical techniques, and harnessing the power of Generative Artificial Intelligence (Gen AI), Natural Language Processing (NLP), and Machine Learning (ML) to derive actionable insights and drive strategic decision-making. If you are passionate about extracting meaningful patterns from data and have a strong background in statistical modeling, mathematics, and Python programming, we want to hear from you
Key Responsibilities:
·       Utilize advanced statistical techniques to analyze large datasets and extract actionable insights.
·       Develop predictive models and algorithms to solve complex business problems, leveraging machine learning methodologies.
·       Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
·       Apply mathematical concepts and theories to design and optimize algorithms for data analysis and model building.
·       Explore and implement cutting-edge techniques in Generative AI and NLP to extract deeper insights from unstructured data sources.
·       Design experiments and conduct hypothesis testing to validate models and algorithms.
·       Present findings and recommendations to stakeholders in a clear and concise manner, facilitating data-driven decision-making.
·       Stay updated with the latest trends and advancements in data science, machine learning, and artificial intelligence.
Core Skills and Qualifications:
·       Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field. Master’s degree or PhD preferred.
·       Minimum 3 years of experience in data science, with a focus on statistical modeling and machine learning.
·       Strong proficiency in Python programming and libraries such as NumPy, Pandas, scikit-learn, and TensorFlow/PyTorch.
·       Solid understanding of mathematical concepts and theories, including linear algebra, calculus, probability, and statistics.
·        Proficiency in leveraging GenAI technologies to develop innovative solutions.
·       Proficiency in Natural Language Processing (NLP) techniques and tools for text analysis and sentiment analysis.
·       Demonstrated ability to develop and deploy machine learning models in real-world applications.
·       Excellent problem-solving skills and ability to think critically and analytically.
·       Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
Additional Preferred Skills:
·       Experience with big data technologies such as Hadoop, PySpark.
·       Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
·       Familiarity with deep learning architectures and frameworks.
·       Contributions to open-source projects or active participation in the data science community.
Why Join Us:
·       Opportunity to work on challenging projects at the intersection of data science, artificial intelligence, and business strategy.
·       Dynamic and collaborative work environment with a focus on innovation and continuous learning.
·       Competitive salary and benefits package, including opportunities for career growth and advancement.
·       Make a meaningful impact by leveraging data-driven insights to drive business success and solve real-world problems.
If you are a passionate and experienced Data Scientist looking to take your career to the next level, apply now to join our team and be a part of our exciting journey
Experience: 3 to 7 years
Notice Period: 30 days/currently available

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