Senior Specialist - Data Science at Baker Hughes developing analytics solutions and collaborating with various teams to solve complex challenges. Requires a master's or bachelor's degree and 5-7 years of experience in analytics.
Responsibilities
Work closely with SMEs, Engineering, Product, and Commercial teams to grasp analytics use case problem statements.
Analyze these challenges from a domain perspective and recommend data science, statistical, or AI-driven solutions.
Design and implement analytics solutions by applying advanced data science and statistical methods.
Establish measurable outcomes and model metrics to enhance accuracy and reliability.
Conduct exploratory analysis on large, complex datasets—cleaning, preprocessing, validating data, and identifying patterns and trends.
Uphold data quality, governance, privacy standards, and advocate for the ethical use of data and AI.
Build scalable, efficient analytics models in partnership with Data, Platform, and ML Engineers.
Present insights clearly to stakeholders and leadership through visualizations, reports, and presentations detailing methodology, findings, and hypotheses.
Requirements
Hold a master’s or bachelor’s degree in computer science or a STEM field.
Have 5-7 years of experience in analytics, including 3+ years working on enterprise-scale solutions.
Demonstrate expertise in AI/ML, statistical methods, LLM, and Gen AI analytics, Python, and related libraries.
Apply OOP concepts for analytics development.
Show familiarity with MLOps and model lifecycle management.
Work independently and drive outcomes.
Exhibit a critical system thinking and problem-solving mindset.
Effectively explain analytical ideas to non-technical audiences.
Benefits
Contemporary work-life balance policies and wellbeing activities.
Comprehensive private medical care options.
Safety net of life insurance and disability programs.
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