Data Science

4 days ago

Lahore, Punjab, Pakistan Devsinc Full time 1,200,000 - 3,600,000 per year

Devsinc is seeking motivated
Data Scientists
with
1-3 years of experience
, particularly in
Artificial Intelligence (AI)
or
Machine Learning (ML)
. This role is ideal for individuals who have built a strong foundation in ML methodologies and are eager to apply their skills to real-world business challenges. You will work closely with cross-functional teams to design, deploy, and optimize ML-driven solutions that support data-driven decision-making and innovation.

**Key Responsibilities:

Model Development:**
Design, develop, and deploy ML models for business use cases, including data preprocessing, feature engineering, model training, evaluation, and deployment.

Data Exploration:
Conduct exploratory data analysis (EDA) to uncover patterns, correlations, and insights that inform model refinement and business strategies.

Collaboration:
Work with data scientists, engineers, and business stakeholders to translate business needs into ML-driven solutions.

Visualization & Reporting:
Build clear, compelling visualizations and reports to communicate ML outcomes and insights to both technical and non-technical audiences.

Continuous Learning:
Stay updated with the latest advancements in ML algorithms, tools, and best practices, and incorporate them into projects where applicable.

Prototyping:
Develop and test prototypes for predictive and analytical models in real-world scenarios.

Communication:
Maintain clear, structured communication to articulate data needs, methodologies, and outcomes effectively.

Cross-Functional Impact:
Identify opportunities to reuse datasets, code, or models across multiple business areas.

Requirements
Education:
Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field (with significant ML coursework/projects).

Experience:
1-3 years of experience of hands-on experience in ML or data science, supported by a portfolio of relevant projects (model development, feature engineering, data analysis).

Technical Skills:

  • Proficiency in Python and ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience with SQL for data manipulation.
  • Familiarity with data visualization tools/libraries (e.g., Matplotlib, Seaborn, ggplot2).

Analytical Skills:
Strong ability to analyze large and complex datasets and derive meaningful insights.

Communication:
Ability to explain technical concepts and ML results to non-technical stakeholders.

Teamwork:
Demonstrated ability to work collaboratively, adapt to feedback, and contribute effectively in a team environment.

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