Data Scientist - Generative AI

US-Work at Home

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POSITION OVERVIEW:
Team members in this role will identify, formulate, and address complex business problems, design, and drive the creation of new data products and analytical capabilities embedded in multiple business applications. 
Qualified candidates will also gather and analyze large volumes of data, evaluate scenarios to make predictions on future outcomes and support decision making for the business. Candidates must be able to use advanced statistical data modeling techniques and tools. Lastly, candidates are expected to be able to design experiments, measure impact, synthesize insights and clearly communicate recommendations for improvement in products and processes. 

ESSENTIAL JOB SKILLS/DUTIES:
• Use business acumen and analytical skills to identify opportunities, estimate potential, layout strategy roadmaps to solve complex business problems. 
• Be motivated to explore and identify opportunities from scratch by thinking backwards on problem solving by putting users and data at the center of analysis and decision making. 
• Be responsible for using analytical techniques like Machine learning, Natural Language Processing, and advanced data visualizations to improve Asurion’s customers’ experiences. 
• Deploy ML solutions in production environment 
• Design statistical tests for product experiments, measure impact, derive insights and provide recommendations 
• Work closely with product managers to identify and answer important product questions that help improve outcomes 
• Interpret problems and provide solutions using appropriate data modeling techniques 
• Develop prototypes for new data product ideas 
• Design large scale models using techniques such as Logistic Regression, Decision Trees, Spatial models, Time-series models, and Machine Learning algorithms 
• Utilize Natural Language Processing to analyze speech and social data 
• Drive the collection of new data and the refinement of existing data 
• Regularly invent new and novel approaches to problems; take initiative and break down barriers to solve problems; be recognized within team as the source of solutions 
• Manipulate and analyze complex, high-volume, high-dimensionality data from multiple sources 
• Bring a strong passion for empirical research and for answering hard questions with data 
• Communicate complex quantitative analysis in a clear, precise, and actionable manner  


SKILLS:
Technical skills:
• Demonstrated work experience with natural language processing techniques to drive business value. Experience building user-centric AI products/features is highly valuable.  
• Knowledge in Hypothesis testing, Statistical Methods, Sampling Theory, Experimental Design 
• Familiarity with common advanced analysis tools – SQL & Python/R 
• Demonstrated familiarity (work experience, GitHub account) with OOP concepts. Expertise in Python is a big plus. 
• Experience with cloud computing (AWS) & MLOps is a plus. 
• Strong knowledge of Machine Learning & Deep Learning


Soft/Leadership skills:
• Active listener; strong communication - verbal and non-verbal. Ability to influence
• Effective problem solver; works through ambiguity; provides options; executes well
• Manages time; self-directed; provides guidance to more junior team members
• Manages relationships with key stakeholders and ensures effective teamwork across team
• Solid business acumen; anticipates obstacles and supports team's success
• Leads change for team members and team's work
• Team leader and supports team to ensure success. Develops trust-based relationships.
• Proactively seek as well as provides coaching and feedback to team and peers
• Engage, inspires team members. Effective at determining work to own and work to delegate.
• Drives for continuous improvement.
• Accountable for performance of team and ensuring a customer first mindset.

EDUCATION AND EXPERIENCE:
Required Education and Experience
• Master’s or PhD in Computer Science, Data Science, Software Engineering, Computer Engineering, Electrical Engineering, Electronics Engineering, or a related field
• 2+ years of work experience


NOTE: THIS JOB DESCRIPTION IS NOT DESIGNED TO COVER OR CONTAIN A COMPREHENSIVE LISTING OF ACTIVITIES, DUTIES OR RESPONSIBILITIES THAT ARE REQUIRED OF THE EMPLOYEE. DUTIES, RESPONSIBILITIES, WORKING CONDITIONS, PHYSICAL DEMANDS, AND ACTIVITIES MY CHANGE OR NEW ONES MAY BE ASSIGNED AT ANY TIME WITH OR WITHOUT NOTICE.
ASURION PROVIDES EQUAL EMPLOYMENT OPPORTUNITIES TO ALL EMPLOYEES AND APPLICANTS FOR EMPLOYMENT AND PROHIBITS DISCRIMINATION AND HARASSMENT OF ANY TYPE WITHOUT REGARD TO RACE, COLOR, RELIGION, AGE, SEX, NATIONAL ORIGIN, DISABILITY STATUS, GENETICS, PROTECTED VETERAN STATUS, SEXUAL ORIENTATION, GENDER IDENTITY OR EXPRESSION, OR ANY OTHER CHARACTERISTIC PROTECTED BY FEDERAL, STATE OR LOCAL LAWS.

THIS POLICY APPLIES TO ALL TERMS AND CONDITIONS OF EMPLOYMENT, INCLUDING RECRUITING, HIRING, PLACEMENT, PROMOTION, TERMINATION, LAYOFF, RECALL, TRANSFER, LEAVES OF ABSENCE, COMPENSATION AND TRAINING.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Computer Science Deep Learning Engineering Generative AI GitHub Machine Learning MLOps NLP OOP PhD Python R Research SQL Statistics Testing

Perks/benefits: Team events

Region: North America
Country: United States

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