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Data Scientist Lead - Data, Modeling & Analytics at PNC Financial Services Group

Data Scientist Lead - Data, Modeling & Analytics

PNC Financial Services Group

Tysons Corner, VAsenior1 day ago

Full Timeonsite1-3Years
$140,113/year

Job Description

As a Data Scientist Lead specializing in Data, Modeling & Analytics, you will drive innovative solutions that leverage data to inform business strategies. Your expertise will guide a team in harnessing advanced analytics and machine learning techniques, ensuring our organization remains at the forefront of data-driven decision-making. In your day-to-day role, you'll utilize a diverse tech stack, including Hadoop, R, Python, Spark, and SQL, to develop predictive models and perform statistical analyses. Your work will center on transforming complex data into actionable insights through data visualization and predictive analytics, ensuring our projects are both technically robust and aligned with business objectives. Join a collaborative team committed to continuous learning and innovation, where you’ll have opportunities to mentor junior data scientists and influence strategic initiatives. Your contributions will play a crucial role in shaping our analytical capabilities and expanding your professional growth. This role is unique as it combines leadership with the exploration of cutting-edge technologies, providing an exciting platform for those passionate about solving complex challenges and making a significant impact within the organization.

Responsibilities

Lead the development of predictive analytics models using R and Python for actionable insights. Design innovative data visualization dashboards to communicate complex data findings effectively. Architect scalable data pipelines leveraging Hadoop and Spark for enhanced data processing. Drive statistical modeling efforts to uncover trends and support data-driven decision-making. Build collaborative relationships with stakeholders to align data initiatives with business objectives. Oversee data collection processes ensuring high data quality and integrity for analysis. Mentor junior data scientists in machine learning techniques and best practices.

Key Skills

R
20%
Python
20%
SQL
15%
Spark
10%
Hadoop
10%

Benefits

Competitive salary with comprehensive health benefits to support your well-being. Flexible work hours and remote work options to promote work-life balance. Opportunities for professional development and continuous learning through workshops. Access to cutting-edge tools and technologies to spur your creativity and innovation. A vibrant company culture that fosters collaboration and inclusivity among teams. Exciting team-building events and perks to celebrate successes together.

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