Lead Software Engineer Prog - Data Scientist

Lead Software Engineer Prog - Data Scientist -076838

Description

 

Job Location:

Bellevue, Atlanta, Frisco

Job description:

The Data Scientist supports Machine Learning projects from strategy through implementation and on-going improvements.

Key Responsibilities:

• Perform data collection, analysis, validation, cleansing, developing software in support of multiple 
machine learning workflows, integrating / deployment of code in a large-scale production 
environments and reporting. 
• Designs, codes, tests, debugs, and documents ML code - models, ETL processes, SQL queries, and 
stored procedures. 
• Extracts and analyzes data from various structured and unstructured sources, including databases, 
files, data lakes and external APIs/websites. 
• Responds to data inquiries from various groups within client’s organization. 
• Requires experience with relational databases, document databases (NOSQL) and knowledge of 
query tools and/or statistical software. 
• Responsible for other duties/projects as assigned by business management / leadership. 

Required Skills:

• 12 plus years of experience in statistical modeling, data mining, analytics techniques, machine 
learning software development and reporting 
• 8 plus years of applied experience in building / deploying Machine Learning solutions using 
various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support 
Vector Machines, (Deep) Neural Networks, Random Forest, etc., and key parameters that affect 
their performance. 
• 5 plus years of hands-on experience with Python and/or R programming and statistical 
packages, and ML libraries such as scikit-learn, TensorFlow, PyTorch, etc. 
• 3 plus years of experience in building use cases / solutions especially around AI/ 
based on Cloud infrastructure and services such as Azure,GCP,AWS cloud platforms and Onpremise 
environments 
• Expertise with SQL, noSQL, Python, R, Javascript programming languages and big data 
environments (such as Splunk, Hadoop, Spark, Flink, Stream Analytics, Kafka, Docker, 
Kubernetes etc.) 
• Experience developing experimental and analytic plans for data modeling processes, using 
strong baselines, and determining cause and effect relations. 
• Understanding of relevant statistical measures such as confidence intervals, significance of error 
measurements, development and evaluation data sets, etc. in data analysis projects. 
• Expertise with scaling pilot machine learning solutions to a large scale production environment using databricks 
• Expertise with visualization tools such as PowerBI, D3JS etc. 

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 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.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. 

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. 

   Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is [recruiter to insert salary range]. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. 

Job

 : Developer

Schedule

 : Full-time

Primary Location

 : US-CA-San Francisco

Organization

 : I&D