Sr. Data Analyst
Role details
Job location
Tech stack
Job description
o Design, develop, and optimize machine learning models (forecasting, classification, clustering). o Apply data mining techniques to uncover patterns and insights in large datasets. o Perform feature engineering, model validation, and performance tuning. o Explore and deploy modern AI and ML approaches to enhance automation and analytics. * Data Preparation & Quality o Prepare structured and unstructured data for modeling and advanced analysis. o Develop scripts and tools for data cleansing, validation, and enrichment. o Collaborate with Data Engineering to maintain efficient data pipelines. o Identify data quality issues and propose remediation. * Analytics, Insights & Reporting o Conduct deep-dive analyses to identify trends and improvement opportunities. o Communicate complex findings in clear, concise ways to technical and non-technical stakeholders. o Support the development of dashboards, metrics, and analytical solutions. * Cross-Team Collaboration o Work with architects, engineers, and analysts to define analytical requirements. o Contribute to conceptual data model design and workflow optimization. o Promote best practices in machine learning, analytics, and data governance., Join a dynamic team as a Junior Investment Analyst, where you will play a crucial role in supporting an AI Lab focused on developing next-generation financial intelligence systems.…
- 3 days ago
- Apply easily
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field.
- Strong experience in machine learning algorithms, predictive modeling, and data mining.
- Proficiency in Pyspark, Python pandas (required) for data science workloads.
- Strong SQL (required) knowledge and experience with relational databases.
- Minimum 3 years of experience with data visualization tools such as Power BI, Dax Queries, and best practices.
- Experience with Azure Databricks, Google Cloud, and modern data science libraries (e.g., scikit-learn, pandas, NumPy).
- Experience with GenAI and large language models.
- Ability to interpret complex datasets and produce actionable insights.
- Must know how to analyze the root cause of dashboard errors.
- Have experience in ML Ops and have strong coding background.
- Have experience with Natural Language Processing (NLP).
- Knowledge or experience with A/B Testing.
- Working knowledge of designing, training, and implementing machine learning models.
- Familiarity with cloud-based infrastructure
- Excellent communication and problem-solving skills.
- 7 or more years of experience in data science and machine learning engineering.
Additional Skills (Skills that are a plus, but not required)
- Knowledge of statistical methods and experimental design.
Benefits & conditions
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$105.00 per hour, SaidGig
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Dallas, TX
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$125.00 per hour This role offers the opportunity to leverage your extensive public markets experience to train and evaluate AI systems aimed at enhancing institutional-grade investment research. A…
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3 days ago