Senior Applications Consultant - Sr ML Engineer with Gen AI

Job description:

The Senior Data Scientist will demonstrate  excellent knowledge of ML algorithms (e.g., Linear Regression, Logistic Regression, Clustering/Segmentation, Decision Tree, Random Forest Algorithm, GBM, DNN, Naive Bayes, Support Vector Machine, etc.) to lead efforts, teams, projects, and engage with customers. 

KEY RESPONSIBILITIES:

• Responsible for developing and implementing AI-assisted marketing analytics solutions that address customer needs using data science, machine learning.
• Work closely with multi-functional teams to deliver innovative solutions that drive business growth and improve customer engagement.

Required Skills:

• Excellent knowledge of ML algorithms (e.g., Linear Regression, Logistic Regression, Clustering/Segmentation, Decision Tree, Random Forest Algorithm, GBM, DNN, Naive Bayes, Support Vector Machine, etc.)
• Expertise in applying statistical, sophisticated analytics, machine learning, and/or AI, deep learning concepts, and techniques to solve business problems. Strong programming skills using Python, SQL, PySpark
• Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
• Strong analytical, critical-thinking skills with proven ability to identify/analyze/synthesize data and use the data to drive decisions
•  Superior communication and persuasion skills, talent for storytelling, visualization, and crafting insights from data to deliver practical recommendations for business action
• Good knowledge of calculus, linear algebra, statistics, and probability
• Master’s degree in Math, Statistics, Data Science, Analytics, Econometrics, Computer science, Operations Research, Behavioral Science, or another analytical/quantitative field required

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: 

• Flexible work 
• 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

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get The Future You Want | www.capgemini.com

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consi