Lead Data Scientist (Hybrid)

Title: Lead Data Scientist (Hybrid) Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world. Practice - AIA - Artificial Intelligence and Analytics About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future - a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies. By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant's AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret, and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence. Location: Atlanta, GA (Hybrid) Job Summary We are seeking a highly skilled Architect with 9 to 12 years of experience to join our dynamic team. The ideal candidate will have extensive experience in Oracle and Data Science. This role offers a hybrid work model and requires no travel. The successful candidate will play a crucial role in designing and implementing data-driven solutions that align with our companys objectives. Responsibilities Design and implement scalable data architectures that meet business requirements. Oversee the integration of Oracle databases with data science models to ensure seamless data flow. Provide technical guidance and mentorship to junior team members to foster their development. Collaborate with cross-functional teams to understand data needs and deliver effective solutions. Ensure data integrity and security by implementing best practices and compliance standards. Develop and maintain documentation for data architectures and processes to ensure clarity and consistency. Conduct regular performance tuning and optimization of Oracle databases to enhance efficiency. Lead the evaluation and selection of new data technologies and tools to stay ahead of industry trends. Implement machine learning models and algorithms to solve complex business problems. Monitor and troubleshoot data pipelines to ensure smooth operation and minimal downtime. Provide insights and recommendations based on data analysis to support strategic decision-making. Coordinate with stakeholders to gather requirements and translate them into technical specifications. Ensure the scalability and reliability of data solutions to support the companys growth. Qualifications Possess a strong background in Oracle database management and optimization. Demonstrate proficiency in data science techniques and machine learning algorithms. Have excellent problem-solving skills and the ability to think critically. Show experience in designing and implementing data architectures. Exhibit strong communication skills to effectively collaborate with cross-functional teams. Have a proven track record of mentoring and guiding junior team members. Display a commitment to maintaining data integrity and security. Be adept at performance tuning and optimization of databases. Show familiarity with industry trends and new data technologies. Have experience in developing and maintaining technical documentation. Demonstrate the ability to translate business requirements into technical solutions. Possess strong analytical skills to provide actionable insights. Be committed to ensuring the scalability and reliability of data solutions. Certifications Required Oracle Certified Professional Data Science Certification Salary and Other Compensation: The annual salary for this position is between $145,000 – $ 155,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: Medical/Dental/Vision/Life Insurance Paid holidays plus Paid Time Off 401(k) plan and contributions Long-term/Short-term Disability Paid Parental Leave Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Cognizant is an Equal Opportunity Employer M/F/D/V. Cognizant is committed to ensuring that all current and prospective associates are afforded equal opportunities and treatment and a work environment free of harassment. Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network Assists Veterans in building and growing a career at Cognizant that allows them to leverage the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Job Summary We are seeking a highly skilled Architect with 9 to 12 years of experience to join our dynamic team. The ideal candidate will have extensive experience in Oracle and Data Science. This role offers a hybrid work model and requires no travel. The successful candidate will play a crucial role in designing and implementing data-driven solutions that align with our companys objectives. Responsibilities Design and implement scalable data architectures that meet business requirements. Oversee the integration of Oracle databases with data science models to ensure seamless data flow. Provide technical guidance and mentorship to junior team members to foster their development. Collaborate with cross-functional teams to understand data needs and deliver effective solutions. Ensure data integrity and security by implementing best practices and compliance standards. Develop and maintain documentation for data architectures and processes to ensure clarity and consistency. Conduct regular performance tuning and optimization of Oracle databases to enhance efficiency. Lead the evaluation and selection of new data technologies and tools to stay ahead of industry trends. Implement machine learning models and algorithms to solve complex business problems. Monitor and troubleshoot data pipelines to ensure smooth operation and minimal downtime. Provide insights and recommendations based on data analysis to support strategic decision-making. Coordinate with stakeholders to gather requirements and translate them into technical specifications. Ensure the scalability and reliability of data solutions to support the companys growth. Qualifications Possess a strong background in Oracle database management and optimization. Demonstrate proficiency in data science techniques and machine learning algorithms. Have excellent problem-solving skills and the ability to think critically. Show experience in designing and implementing data architectures. Exhibit strong communication skills to effectively collaborate with cross-functional teams. Have a proven track record of mentoring and guiding junior team members. Display a commitment to maintaining data integrity and security. Be adept at performance tuning and optimization of databases. Show familiarity with industry trends and new data technologies. Have experience in developing and maintaining technical documentation. Demonstrate the ability to translate business requirements into technical solutions. Possess strong analytical skills to provide actionable insights. Be committed to ensuring the scalability and reliability of data solutions. Certifications Required Oracle Certified Professional Data Science Certification