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