Senior Data Scientist

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below.Client Location: Jersey City, NJJob Description8-10 years of experience Data Analysis: Conduct advanced statistical analysis to interpret and extract meaningful insights from large datasets.Extract data into presentable reports, charts, and graphs.Analyze and interpret data to find outliers, understand root cause business impacts, correlations/discrepancies, and propose changes/alternate solutions.Discover patterns/root causes and generate insights to drive product enhancements.Machine Learning: Develop, implement, and optimize machine learning models to support various business initiatives. Analyze and evaluate the quality of data used for model training and testing.Create and present proposals and results in an intuitive data-backed manner along with actionable insights and recommendations to drive business decisions.Project Leadership: Lead data science projects from conception to deployment ensuring timely delivery and high-quality outcomes.Collaboration: Work closely with product managers, engineers, and other stakeholders to understand business needs and align data solutions accordingly.Mentorship: Mentor and guide junior data scientists and analysts, fostering a collaborative and growth-oriented environment.Data Infrastructure: Contribute to the development and maintenance of data pipelines, ensuring data accuracy and accessibility.Reporting: Prepare and present analytical reports and visualizations to communicate findings to both technical and non-technical audiences.Qualifications:Qualifications Education: Master's or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field.Experience: Minimum of 5 years of experience in data science or a related field. Expert in AWS AI/ML GenAI tools e.g. SageMaker, Bedrock, etc.Technical Skills: Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks (e.g. TensorFlow, Scikit-learn) and data visualization tools (e.g. Tableau, Power BI).Experienced in Identity and Access management, data protection, data privacy standards. Experienced in building models/tooling around continuous auditing.Analytical Skills: Strong analytical and problem-solving skills with a keen attention to detail.Communication Skills: Excellent verbal and written communication skills with the ability to convey complex concepts to diverse audiences.Team Player: Ability to work effectively in a team environment and independently.Preferred Qualifications:Experience in the industry relevant to the company's domain (e.g. finance, healthcare, e-commerce).Familiarity with cloud computing platforms (e.g. AWS, Google Cloud, Azure).Experience with big data technologies (e.g. Hadoop, Spark). Published research or contributions to open-source projects.Life at CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:Healthcare including dental, vision, mental health, and well-being programs.Financial well-being programs such as 401(k) and Employee Share Ownership Plan.Paid time off and paid holidays.Paid parental leave.Family building benefits like adoption assistance, surrogacy, and cryopreservation.Social well-being benefits like subsidized back-up child/elder care and tutoring.Mentoring, coaching, and learning programs.Employee Resource Groups.Disaster Relief.DisclaimerCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law.#J-18808-Ljbffr

Created: 2024-11-06