Job Description

The Lead Data Scientist leads the effort to obtain business insights from large data sets through complex data research and analysis. Working as a subject matter expert under limited supervision, this job manages the development of data mining and data analysis methodologies to create algorithms and predictive models. This job manages projects and processes conducted by lower level Data Scientists. The Lead Data Scientist is constantly working to improve data mining and data analysis methodologies and to implement new processes as needed.

Key Responsibilities and Duties

• Oversees development and implementation of data mining protocols, architectures, and models as well as data analysis methodologies, used to identify trends in large data sets.
• Implements new data mining and data analysis processes as needed to improve effectiveness and accuracy of data analyses, based on research of existing and emerging data science principles, theories and techniques.
• Approves statistical reporting, data analyses insights, and data visualizations, used to better understand client relationships and improve client services and product offerings.
• Leads data exploration and analytic projects, providing continual coaching of big data topics including visualization, analytic techniques, and data mining.
• Communicates insights from analyses to management in order to enable data driven decision making to improve business performance and operational outcomes based on machine learning and statistical analysis results.
• Oversees the acquisition of data from structured and unstructured sources, while ensuring quality and comprehensiveness of the data.
• Reviews and approves the data modeling, statistical reporting, data analysis, and research completed by lower level Data Scientists, providing coaching and feedback as needed.

Educational Requirements

• University (Degree) Preferred

Work Experience

• 5 Years Required; 7 Years Preferred

Physical Requirements

• Physical Requirements: Sedentary Work

Career Level
8IC

Job Title: Data Scientist



Cyber Security is seeking a Data Scientist to join the Cyber AI team. This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our mission. This role is a key contributor to our practice and will be directly responsible for design, development, deployment, and automation including collecting and analyzing data sets to identify patterns and develop predictive algorithmic models. The successful candidate will work closely with key stakeholders to rapidly advance the use of predictive and prescriptive analytics for cybersecurity as well as help the Cyber team with automation efforts. We are seeking candidates with passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across Cyber Security. The Data Scientist will have demonstrated experience as a problem-solver, working alongside IT and business partners, and act as a trusted consultant.

Responsibilities

• Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making.
• Thorough understanding of linear algebra, probability, and statistics to comprehend and use AI models such as Naive Bayes, Gaussian mixture models, and linear discriminant analysis.
• Knowledge to build a variety of AI applications, including language translation, visual recognition or perception, and targeted advertising based on sentiment analysis.
• Develop scalable algorithms capable of learning, analyzing and predicting future events.
• Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners.
• Ability to skillfully enumerate a business problem, quantify its impact, size relevant data, and document applicable sources.
• Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques.
• Able to work proactively and take initiative without being specifically directed.
• Ability to perform in depth data analysis including but not limited to:

• Machine Learning
• Classification
• Optimization
• Time Series analysis
• Pattern Recognition
• Establish and develop end-to-end automated processes (i.e.: data analyses, model development & implementation, manual processes, etc.)
• Ability to communicate complex topics in an easy-to-understand manner when presenting to management.
• Ability to visualize data and intelligence in easy-to-understand story telling.

QUALIFICATIONS:

Required Skills

• 3+ years with relational databases (ex. Oracle, Teradata, SQL Server, etc.)
• 3+ years working with languages Python and SQL
• 3+ years applying statistics in data analyses (ex. regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc.)
• 2 or more years\xe2\x80\x99 experience presenting and delivering results to business partners and leadership.
• NodeJS: Node.js works great in real-time web apps that employ push technology over WebSocket. Node\xe2\x80\x99s real-time, two-way connections\xe2\x80\x94where the client and server can each initiate communication\xe2\x80\x94enable the freer exchange of data.
• NestJS: The backend framework developed in NestJS gives a structure development approach to build an efficient and scalable architecture.
• WebRTC: WebRTC enables Web applications and sites to capture and optionally stream audio and/or video media, as well as to exchange arbitrary data between browsers without requiring an intermediary.

Preferred

• Certifications in data science, deep learning, and ML

• Blender: Blender is an open-source 3D computer graphics software tool set used for creating animated films, visual effects, art, 3D-printed models, motion graphics, interactive 3D applications, virtual reality, and, formerly, video games.
• Unity: Unity is a popular game engine that can be used for VR and AR development.
• Exposure to Generative AI and NLP

• 2 or more years\xe2\x80\x99 experience with developing Robotic Process Automation and/or automation efforts.
• 2 or more years using AWS cloud services.
• 2 or more years skilled at data visualization (PowerPoint, Tableau, D3, ggplot, matlib, seaborn, etc.)
• 2 or more years with modern data engineering with APIs
• M.S. or PhD in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study.
• 2 or more years applying agile SDLC.

Job Profile Summary

Job Profile Summary

The Information Security Analyst participates in the development, communication, implementation, enforcement and monitoring of security controls to protect the organization\'s technology assets from intentional or inadvertent modification, disclosure or destruction. Under general supervision, this job is responsible for performing tests and monitoring security controls that prevent IT-based crime, hacking, intentional or inadvertent modification, disclosure, or destruction of the organization\'s information systems and IT assets.





The Information Security Analyst participates in the development, communication, implementation, enforcement and monitoring of security controls to protect the organization\'s technology assets from intentional or inadvertent modification, disclosure or destruction. Under general supervision, this job is responsible for performing tests and monitoring security controls that prevent IT-based crime, hacking, intentional or inadvertent modification, disclosure, or destruction of the organization\'s information systems and IT assets.

Key Responsibilities and Duties

• Designs, tests and implements secure operating systems, networks and databases for the organization.
• Assesses the technical feasibility of adopting external cloud based IT platform and infrastructure services within the organization.
• Identifies portions of the organization\'s IT platform/infrastructure with the highest potential return for cloud deployment.
• Helps implement the organization\'s global strategies and initiatives to enhance Information Technology plans, operations and procedures.
• Performs difficult risk assessments and executes tests of data processing system to ensure functioning of data processing activities and security measures.
• Conducts auditing of passwords, network based and Web application based vulnerability scanning, virus management and intrusion detection.
• Conducts risk audits and assessments and provides recommendations for application design.
• Analyzes system access logs, ensuring only permitted individuals have access to company information.
• Monitors use of data files and regulates access to safeguard information in computer files.
• Monitors current reports of computer viruses to determine when to update virus protection systems.
• Reviews violations of computer security procedures and alerts managers of issues that arise.
• Conducts cost/benefit evaluation of cloud solutions compared to virtual private networks, dedicated hosting, and in-house solutions.

Educational Requirements

• University (Degree) Preferred

Work Experience

• 2+ Years Required; 3+ Years Preferred

Physical Requirements

• Physical Requirements: Sedentary Work

Career Level
6IC

Related Skills

Accountability, Adaptability, Business Continuity Planning, Cloud Computing Security, Collaboration, Communication, Compliance, Consultative Communication, Cybersecurity, Detail-Oriented, General Risk Management, Network Security, Prioritizes Effectively



Company Overview

TIAA GBS India was established in 2016 with a mission to tap into a vast pool of talent, reduce risk by insourcing key platforms and processes, as well as contribute to innovation with a focus on enhancing our technology stack. TIAA GBS India is focused on building a scalable and sustainable organization , with a focus on technology , operations and expanding into the shared services business space.

Working closely with our U.S. colleagues and other partners, our goal is to reduce risk, improve the efficiency of our technology and processes and develop innovative ideas to increase throughput and productivity.

We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status.

Accessibility Support

TIAA offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers, including individuals with disabilities.

If you are a U.S. applicant and desire a reasonable accommodation to complete a job application please use one of the below options to contact our accessibility support team:

Phone: (800) 842-2755

Email:

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