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Data Scientist
Spearhead Technology
posted 3d ago
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Job Description
- Develop, test, and deploy predictive models using advanced AI/ML techniques.
- Collaborate with the solutions architect, application engineers, and product teams to integrate AI/ML models into business applications.
- Design and implement models for cryptocurrency, stocks, bonds, and other financial securities pricing predictions.
- Utilize regression, time-series, classification, and NLP algorithms to create robust predictive models.
- Ensure models are scalable and deployable in cloud environments such as AWS or Azure.
- Perform data preprocessing, feature engineering, and model validation to ensure the accuracy and reliability of predictions.
- Conduct A/B testing, hypothesis validation, and user testing to refine models.
- Utilize big data environments like Hadoop and Spark for large-scale data processing.
- Stay updated on the latest trends and advancements in AI/ML and Generative AI to continuously improve model performance and applicability.
Required Skills and Experience:
- Bachelordegree in computer science, mathematics, statistics, data science, AI, ML, or a related technical field.
- 5+ years of hands-on experience in developing predictive models using regression, time-series, classification, and NLP algorithms and techniques.
- Proficiency in Python and Python-based machine learning libraries (e.g., TensorFlow, Keras, Scikit-Learn).
- Strong coding skills in SQL and experience with cloud-based applications and HTTP-based APIs.
- Demonstrated experience in developing and deploying predictive models in AWS and/or Azure environments.
- Experience with databases and data warehousing solutions offered by AWS and/or Azure.
- Familiarity with A/B testing, hypothesis validation, user testing, and analytics software.
- Knowledge of big data technologies such as Hadoop and Spark, with coding experience in PySpark.
- Understanding of Generative AI concepts, use cases, and applications.
- Strong analytical skills and a hypothesis-driven approach to problem-solving.
Employment Type: Full Time, Permanent
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