
Data Science Expert
8 hours ago
In this role, you will be at the forefront of leveraging advanced analytics and machine learning techniques to drive operational efficiency and process improvements in manufacturing data.
Key Responsibilities:
- Formulate problem statements and translate them into data science solutions by working closely with domain experts.
- Evaluate and select appropriate approaches based on problem context, data availability, and performance constraints.
- Independently source, clean, and validate data for analysis and modeling, ensuring data quality, consistency, and reliability.
- Build, test, and deploy machine learning models with an awareness of model assumptions, limitations, and trade-offs.
- Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
- Contribute to the design and implementation of robust, scalable pipelines for data processing and model inference.
Requirements:
- Minimum 5 years of relevant industry experience in data science or applied machine learning (or 3+ years with a PhD).
- Proven ability to take projects from problem formulation to solution deployment.
- Proven ability to work with domain experts and turn ambiguous requirements into structured models.
- Hands-on experience in data wrangling, cleaning, and validation.
- Strong programming skills in Python and familiarity with relevant data/ML libraries.
- Proficiency in a wide range of ML techniques (supervised, unsupervised, classical and modern AI) and understanding of model assumptions, limitations, and trade-offs.
- Familiarity with startup environments or fast-paced cross-functional teams.
What We Offer:
- Meaningful problems that make a difference in high-impact industries.
- Opportunities to work on cutting-edge projects and technologies.
- A collaborative and dynamic work environment.
- Professional growth and development opportunities.
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