Jr Data Scientist

Job DescriptionJob DescriptionTitle: Jr Data Scientist
Duration: Contract
Location: Austin, TX (Onsite)
Client: UST
Rate: $38 - $40 per hour

Summary:
We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company.
We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics.
Critical thinking and problem-solving skills are essential for interpreting data.
We also want to see a passion for machine-learning and research.

Responsibilities

• Experience should be 3-5 years
• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

Requirements and skills

• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is
• 3-5 years experience
• Certifications :: AWS Certified Machine Learning – Specialty, TensorFlow Developer Certificate,
• Proven experience as a Data Scientist or Data Analyst
• Understanding of machine-learning and operations research
• Should have exposure in Python
• Exposure in R, SQL, Git, Neo4j, , Comet ML, Snowflake, dbt, Docker
• Exposure using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
• Exposure Analytical mind and business acumMachine Learning Linear & Logistic Regression, Tree-based algorithms (Bagging, Boosting, LightGBM), KNN, K-means, PCA, Agent Based Modelling, ARIMA, CNN, LSTM, Transformers
• Exposure in Big Data technologies PySpark, Hadoop, AWS (Athena, S3, EMR, Lambda, SageMaker)
• Strong math skills (e.g. statistics, algebra)
• Problem-solving aptitude
• Excellent communication and presentation skills

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