Data Analyst (Python, R)
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Monthly Salary:
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Grade level: T4
Superiors Position: RD GOT Innovation Leader (Business Process Architect)
As a member of the Innovation team you will work in a dynamic multinational and virtual environment collaborating with colleagues across Data Ops and Global Operations Transformation teams globally.
Purpose of the job: Data Analyst/Engineer oversees the optimal performance of machine learning (ML) models within their life cycle. Their primary responsibilities involve continuous monitoring analysis and feedback provision to enhance the overall efficiency of ML models. Heres a summarized breakdown of their role:
RESPONSIBILITIES:
Continuous Monitoring: Data analysts constantly monitor the performance of ML models in real-time. This involves tracking key metrics such as accuracy precision recall and other relevant indicators using existing KPI dashboards.
Data Analysis: They analyze large volumes of raw data generated by ML models (prediction and feedback) identifying patterns trends and anomalies. This analysis helps in understanding the behavior of models under different conditions and detecting any potential issues. The final goal of their job is to identify a root cause that led to a drop in the data trend.
Feedback Loop: Establishing a feedback loop is a critical aspect of their role. Monitoring the feedback of results resulted from each model on each iteration. Data analysts provide timely feedback to ML engineers and developers about the models performance suggesting improvements or adjustments to enhance accuracy and efficiency.
Model Tuning and Optimization: Based on their analysis they collaborate with the development ML research and MLOps teams to fine-tune and optimize ML models. This may involve adjusting hyperparameters incorporating new data or retraining models to improve overall performance.
Anomaly Detection: Identifying and addressing anomalies in model behavior is a key responsibility. Data analysts work to detect issues such as drift in data distribution unexpected bias or performance degradation taking corrective actions when necessary.
Collaboration with Cross-functional Teams: They work closely with various teams involved in the ML development lifecycle including ML engineers developers and operations teams. Effective communication and collaboration are essential to implementing improvements seamlessly.
Qualifications :
Work Experience:
Proven 1-2 years track record in a related field (KPIs monitoring big data analysis ML models development) with hands-on experience within data analytics.
Requirements:
Solid skills in Python including analytical libraries (NumPy Pandas Matplotlib etc.)
Hands-on experience within data analytics
Solid communication skills in English in writing and speaking
An analytical mindset (candidates will complete a case study)
Experience in owning tasks driving progress and working out solutions
Readiness to cover an extra mile while executing tasks
Willingness to learn and grow
Ability to work and build relationships with stakeholders at various levels of organization is a plus.
Experience of software development is a plus.
Education:
Bachelors degree (Science Technology Math or Engineering background)
Additional Information :
Our Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process including résumé screening candidate assessments interview scheduling job matching communication support and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQs principles of fairness transparency human oversight and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions require accommodations or wish to request human review were permitted by law please contact your local HR representative. For more information please visit NIQs AI Safety Policies and Guiding Principles: NIQ
NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 2023 NIQ combined with GfK bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.
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Our commitment to Diversity Equity and Inclusion
At NIQ we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race color religion sex (including pregnancy sexual orientation or gender identity) national origin age disability genetic information marital status veteran status or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion please visit the Work :
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Employment Type :
Full-time
Key Skills
About Company
NIQ is the worlds leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holi ... View more
