What are the responsibilities and job description for the Lead Data Science Architect -AI/ML & Cloud Solutions position at Artmac Soft LLC?
Who We Are :
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to customers.
Job Description
Job Title : Lead Data Science Architect AI / ML & Cloud Solutions
Job Type : C2C
Experience : 7 - 15 years
Location : Littleton, New Hampshire
Responsibilities :
- 5 years as a Senior Data Science Engineer in the wireless and / or telecom space esp., in Sales, Marketing, Retention, Product, Revenue and Partner Management etc
- 8 years of hands-on experience with development and delivery of secure, reliable and scalable data science solutions using agile methodologies
- Proven track record of delivering projects from start to end
- Strong understanding of data science algorithms including classification, forecasting and deep neural networks
- Experience in cloud technologies (like AWS) and data analytics platforms
- Experience in working with Big Data structured and unstructured
- Excellent communication and presentation skills to translate insights, predictions and prescriptions from the models to business and executive stakeholders
- Advanced degree with emphasis on analytics, machine learning or statistics
- Experience designing fully automated, configuration driven, extensible solutions
- Experience supporting and working with cross functional teams in a dynamic environment across different geographies and vendors
- Experience engaging in programs with multiple stakeholder organizations
- Ensure compliance on all deliverables by performing data audits and analysis
- Excellent planning, coordination and written / verbal communication skills
- Strong analytical, problem solving and conflict resolution skills
- Provide subject matter expertise and technical leadership on Data Science
- Partner with product, engineering and analytics teams to drive the use of Data Science across business
- Work with business teams, define ROI & business value for data science products
- Communicate AI / ML findings clearly and effectively to stakeholders
- Triage & resolve problems related to data science from the infrastructure layer (AWS) to the consumption layer (APIs / Dashboards etc)
- Build technical, product vision and long term plan for the data science team
- Brainstorm ideas and execute proof of concepts and prototypes
Qualification :
