Urgent Opening For Data Scientist

XYZ (NASDAQ:XYZS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning methodologies, that integrate advanced analytics, data management, digital, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. XYZ serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, XYZ has more than 30,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa.

XYZ Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, XYZ Analytics takes an industry-specific approach to transform our clients decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. XYZ Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.

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XYZ Service is a global analytics and digital solutions company serving industries including insurance, healthcare, banking and financial services, media, retail, and others

Role Details: We are seeking a strong credit risk model professional with experience in model monitoring, validation, implementation and maintenance of regulatory models.

Job Description

Expertise in machine learning, supervised and unsupervised: Time Series Forecasting, latest technique in NLP Deep Learning Algorithms and Reinforcement Learning

Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic / Causal Model, Statistical Learning, Guided Decisions, Topic Modelling

Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.

Worked with at least one mainstream machine learning framework such as caffe, convNet, Tensor Flow and Torch

Experience with SQL, relational databases and data warehouse.

Experience with big data platforms - Hadoop(Hive, Pig, Map Reduce, HQL) / Spark / H20 Domain Knowledge : Search, Recommendation Engine

Responsibilities

• Apply and/or develop ML solutions to develop efficient and scalable models.
• Play a key role to solve complex problems, pivotal to business and drive actionable insights from terabytes of data.
• Leverage data science tools and techniques, keeping abreast with the latest in the community to solve problems for .
• Collaborate with counterparts in business, engineering, and science to find impactful solutions to business problems.
• Present recommendations from complex analysis to business partners in clear and actionable form, influencing the future.
• Develop PoC, present lucidly to the business and evolve the solutions.
• Take forward the solutions into Pipelines/APIs as needed by the business.
• Research, learn/disseminate & adapt new technologies to solve problems & improve upon existing solutions.
• Adopt Wal-Mart's quality standards and develop and recommend process standards and best practices across the retail industry.
• Stay up to date with and extending the state-of-the-art in Machine Learning research. o Integrate data science solutions into current business processes.
• Develop and recommend process standards and best practices in Machine Learning as applicable to the retail industry.
• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

Technical Skills

• Experience in analysing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale.
• Expertise in machine learning, supervised and unsupervised: Time Series Forecasting, latest technique in NLP Deep Learning Algorithms and Reinforcement Learning
• Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic / Causal Model, Statistical Learning, Guided Decisions, Topic Modelling, fine tuning LLMs, tiny LLMs
• Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.
• Worked with at least one mainstream machine learning framework such as caffe, convNet, Tensor Flow and Torch
• Experience with SQL, relational databases and data warehouse
• Experience with big data platforms - Hadoop(Hive, Pig, Map Reduce, HQL) / Spark / H20
• Domain Knowledge : Search, Recommendation Engine
• Experience with multiple stakeholder management, data based story-telling, mentoring peers and juniors, multiple project handling at the same time.