Analytics Solutions Engineer

6 days ago


Karachi, Sindh, Pakistan MJ-Affiliate Full time
About the Job

Job Requirements:

We are seeking an experienced Data Scientist to join our data team. As a Data Scientist, you will play a critical role in analyzing large datasets, developing predictive models, and providing actionable insights to support business decision-making.

Responsibilities:
  1. Analyze large, complex datasets to identify trends, patterns, and insights that can be used to improve business operations and decision-making.
  2. Develop and deploy machine learning models to solve business problems such as customer segmentation, recommendation engines, predictive analytics, and classification tasks.
  3. Handle missing data, perform feature selection, and engineer features to improve model performance.
  4. Conduct statistical analyses (e.g., hypothesis testing, significance testing) to validate the impact of changes in business processes or models.
  5. Use visualization tools like Matplotlib, Seaborn, Plotly, or Tableau to create meaningful reports and dashboards that communicate key insights to stakeholders.
  6. Work closely with product managers, engineers, and business teams to understand requirements and ensure data-driven solutions align with business goals.
Requirements:
  1. At least 4 years of hands-on experience in Data Science, Machine Learning, or AI.
  2. A degree in Computer Science, Data Science, Mathematics, Statistics, or related field.
Desirable Skills:
  1. Strong programming skills in Python, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, Keras, or PyTorch.
  2. Experience with building and deploying machine learning models, including supervised, unsupervised, and reinforcement learning techniques.
  3. Expertise in handling large, messy datasets and transforming them into a usable format for analysis.
  4. Strong SQL skills for data extraction and manipulation from relational databases.
  5. Understanding of statistical techniques, hypothesis testing, and data analysis methods.
Benefits:
  1. Competitive salary based on experience.
  2. Health insurance and other standard company benefits.
  3. Professional development opportunities, including certifications and training.
  4. Flexible working hours and a dynamic work environment.
  5. Opportunities for career growth and advancement.
About Our Company:

We are a dynamic and growing organization that values innovation, teamwork, and excellence. If you are passionate about data science and want to be part of a talented team, we encourage you to apply.



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