https://github.com/google/lightweight_mmm/issues
https://github.com/google/lightweight_mmm/discussions.
Key Business Requirements:
1) Python Experience
2) Bayesian Statistics
3) Ads Measurement (P1), Market mixed modelling exposure
Experience:
Min 2-3 years in each aspect of the above requirements
Data Science Skills
Expertise in analyzing the large data sets (Advertisement related can be a good match), manipulate and clean the data sets by using Python
Strong understanding in developing statistics models, with a focus on Bayesian methods
Development and implementations of market mix modelling (MMM) strategies
Technical Skills:
Analysis of AI model training , data analysis
Experience in working as Data Analyst or similar role
Proven experience working with Python for data analysis and manipulation
Strong understanding of statistical concepts, experience in Bayesian is added advantage
Experience with Data Visualization tools
Excellent skills in Python (most common) or PySpark (for large-scale data processing).
Soft Skills:
Communicate technical solution in simple manner adhering the existing quality standards.
Interpret and communicate complex data findings to stakeholders in a clear and concise manner
Staying up-to-date on the latest trends and advancements in the advertising measurement, data analysis & MMM
Key Responsibilities:
Ability to debug/reproduce user issues in-code, and develop examples to prove functionality or lack thereof
Provide technical support via emails/forums for the specialized Product Areas
Manage and resolve technical support cases with a high degree of technical complexity for Google Ads products
Respond to customer-reported issues in a timely manner, per service level agreements.
Communicate progress of resolution/status in a timely fashion, per service level agreements
Manage escalations and expectations, for both customers and internal staff.
Timely and Valid escalations of issues to L2 Team.
Timely and Valid routes of issues to other Teams.
Coordinate across numerous departments while driving issues to resolution.
Follow established support processes and procedures.
Work effectively and manage your queue and bugs with minimal supervision.
Preferred Skills
Market Mix Modelling
Bayesian Statistics
Probability Distributions
Statistical Inference
Data Preprocessing and EDA
Monte Carlo Methods
ML models for Regression
Model Training and Optimization (Convergence)
Model Evaluation
Position Title: AI ML
Tier:Tier 3
Primary Skills:
| SAS, ML Ops, NLP, Spatial Analytics, Python, ANSI SQL, SAS Solutions for Healthcare, Scoring, Banking, Risk Management, SAS Viya, SAS AI, Machine Learning, Deep Learning, Web Analytics, Cloud Native Analytics Life cycle management tools, Airflow, ShellScripts, Control-M, Git, CI & CD, S3, HDFS, Unix File System, AIML Libraries |
Job Description: As a Support Specialist L1 Agent on the team, you would moderate, answer, and escalate technical support questions in ( github links ):
https://github.com/google/lightweight_mmm/issues
https://github.com/google/lightweight_mmm/discussions.
Key Business Requirements:
1) Python Experience
2) Bayesian Statistics
3) Ads Measurement (P1), Market mixed modelling exposure
Experience:
Min 2-3 years in each aspect of the above requirements
Data Science Skills
Expertise in analyzing the large data sets (Advertisement related can be a good match), manipulate and clean the data sets by using Python
Strong understanding in developing statistics models, with a focus on Bayesian methods
Development and implementations of market mix modelling (MMM) strategies
Technical Skills:
Analysis of AI model training , data analysis
Experience in working as Data Analyst or similar role
Proven experience working with Python for data analysis and manipulation
Strong understanding of statistical concepts, experience in Bayesian is added advantage
Experience with Data Visualization tools
Excellent skills in Python (most common) or PySpark (for large-scale data processing).
Soft Skills:
Communicate technical solution in simple manner adhering the existing quality standards.
Interpret and communicate complex data findings to stakeholders in a clear and concise manner
Staying up-to-date on the latest trends and advancements in the advertising measurement, data analysis & MMM
Key Responsibilities:
Ability to debug/reproduce user issues in-code, and develop examples to prove functionality or lack thereof
Provide technical support via emails/forums for the specialized Product Areas
Manage and resolve technical support cases with a high degree of technical complexity for Google Ads products
Respond to customer-reported issues in a timely manner, per service level agreements.
Communicate progress of resolution/status in a timely fashion, per service level agreements
Manage escalations and expectations, for both customers and internal staff.
Timely and Valid escalations of issues to L2 Team.
Timely and Valid routes of issues to other Teams.
Coordinate across numerous departments while driving issues to resolution.
Follow established support processes and procedures.
Work effectively and manage your queue and bugs with minimal supervision.
Preferred Skills
Market Mix Modelling
Bayesian Statistics
Probability Distributions
Statistical Inference
Data Preprocessing and EDA
Monte Carlo Methods
ML models for Regression
Model Training and Optimization (Convergence)
Model Evaluation
AboutVirtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 21,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 36,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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