Job Summary
This role involves managing data science projects driving analytics strategies and delivering actionable insights to support business decisions. The Manager-Data Science will collaborate with cross-functional teams to optimize processes and enhance organizational performance through data-driven solutions.
Responsibilities
- Lead the development and implementation of data science strategies to address complex business challenges and opportunities.
- Oversee the design and execution of predictive models machine learning algorithms and statistical analyses to derive actionable insights.
- Provide guidance to the team in identifying trends patterns and correlations within large datasets to support decision-making processes.
- Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
- Ensure the accuracy reliability and scalability of data science models and solutions.
- Drive innovation by exploring new tools techniques and methodologies in the field of data science and analytics.
- Monitor and evaluate the performance of data science projects ensuring alignment with organizational goals and objectives.
- Facilitate knowledge sharing and training sessions to enhance the analytical capabilities of team members and stakeholders.
- Partner with IT and data engineering teams to ensure seamless integration of data science solutions into existing systems.
- Develop and maintain documentation for data science processes methodologies and outcomes.
- Advocate for data-driven decision-making across the organization by showcasing the impact of analytics and insights.
- Manage project timelines resources and deliverables to ensure successful execution of data science initiatives.
- Maintain compliance with data privacy and security regulations while handling sensitive information. Qualifications
- Possess strong expertise in analytics including predictive modeling statistical analysis and machine learning techniques.
- Demonstrate proficiency in analytics and insights with the ability to translate complex data into actionable business strategies.
- Have a solid understanding of data visualization tools and techniques to effectively communicate findings.
- Exhibit excellent problem-solving skills and the ability to work with large and complex datasets.
- Showcase strong collaboration and communication skills to work effectively with cross-functional teams.
- Hold a proven track record of managing data science projects and delivering impactful results.
- Display knowledge of programming languages such as Python R or SQL for data manipulation and analysis.
- Demonstrate familiarity with cloud-based analytics platforms and tools.
- Have experience in mentoring and guiding teams to achieve their full potential.
- Show commitment to staying updated with the latest trends and advancements in data science and analytics.
- Possess a strong business acumen to align data science initiatives with organizational goals.
- Exhibit attention to detail and a focus on quality in all aspects of data science work.
Certifications Required
Certified Analytics Professional (CAP) Google Data Analytics Professional Certificate
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional de empleo
La información de compensación es precisa a la fecha de esta publicación. Cognizant se reserva el derecho de modificar esta información en cualquier momento, sujeto a la legislación aplicable.
Es posible que se requiera que los solicitantes asistan a entrevistas en persona o por videoconferencia. Además, es posible que se requiera que los candidatos presenten su identificación actual emitida por el estado o gobierno durante cada entrevista.
Cognizant es un empleador que ofrece igualdad de oportunidades. Tu solicitud y candidatura no serán consideradas en base a raza, color, sexo, religión, credo, orientación sexual, identidad de género, origen nacional, discapacidad, información genética, embarazo, condición de veterano o cualquier otra característica protegida por las leyes federales, estatales o locales.
Si tienes una discapacidad que requiere adaptaciones razonables para buscar una vacante de trabajo o enviar una solicitud, puedes enviar un correo electrónico a [email protected] con tu solicitud e información de contacto.
