Data Scientist Generative AI
Data Scientist Generative AI
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Job Description
Job Summary:
We are seeking a talented Data Scientist with expertise in Generative AI and Agentic AI to join our team. You will lead and drive AI/data science projects independently from data collection to model deployment. Your role will significantly contribute to business objectives by implementing scalable AI solutions that deliver actionable insights and drive innovation across the organization.
Software Requirements:
Required Proficiency:
- Python R Spark Teradata SQL SAS for data analysis and modeling
- Experience with Big Data Platforms such as Hadoop/HDFS Omnia Hive and Spark
- AWS cloud experience
Preferred Proficiency:
- Familiarity with GitHub and ML Engineering tools
Overall Responsibilities:
- Lead AI/data science projects independently owning the endtoend process from data collection to model deployment.
- Apply Gen AI NLP Computer Vision Deep Learning advanced statistical and ML predictive modeling techniques.
- Collaborate with business and crossfunctional teams to understand needs and implement AIdriven solutions.
- Present complex results to nontechnical stakeholders translating data insights into actionable business strategies.
- Develop and deploy productiongrade AI/machine learning models in cloudbased and onprem platforms.
- Drive innovation by exploring new approaches for solving complex business problems through data analysis and AI/ML modeling.
- Contribute to the strategic planning and direction of AI/data science initiatives.
Technical Skills (By Category):
Programming Languages:
- Required:Python R
- Preferred:Spark Teradata SQL SAS
Databases/Data Management:
- Required:Hive Spark
- Preferred:Teradata Omnia
Cloud Technologies:
- Required:AWS
- Preferred:Additional cloud platforms
Frameworks and Libraries:
- Required:NLP Computer Vision Deep Learning
Development Tools and Methodologies:
- Required:GitHub ML Engineering
Experience Requirements:
- 610 years of experience in data science or statistical modeling preferably within retail banking or financial services.
- Experience in risk or audit domains is beneficial.
DaytoDay Activities:
- Engage in problem formulation and suggest AI solutions for maximum business impact.
- Lead crossfunctional teams in the design and of AI/data science projects.
- Stay abreast of emerging technologies and industry trends.
- Support the adoption of AI/data science across the organization.
Qualifications:
- Required:Bachelors or Masters degree in Mathematics Statistics Economics Econometrics Computer Science or Engineering.
- Commitment to continuous professional development through industry certifications and training.
Professional Competencies:
- Strong critical thinking and problemsolving capabilities.
- Leadership and teamwork abilities.
- Excellent communication and stakeholder management skills.
- Adaptability and learning orientation.
- Innovation mindset blended with pragmatic thinking.
- Effective time and priority management skills.
SYNECHRONS DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity Equity and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger successful businesses as a global company. We encourage applicants from across diverse backgrounds race ethnicities religion age marital status gender sexual orientations or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements mentoring internal mobility learning and development programs and more.
All employment decisions at Synechron are based on business needs job requirements and individual qualifications without regard to the applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.
Employment Type
Full-Time
