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Data Analyst

Job in Town of Poland, Jamestown, Chautauqua County, New York, 14701, USA
Listing for: Algomine
Full Time position
Listed on 2026-04-22
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Engineering, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 120000 USD Yearly USD 80000.00 120000.00 YEAR
Job Description & How to Apply Below
Location: Town of Poland

Responsibilities

  • Independent work on analytical and consulting projects
  • Close collaboration with the client, process analysis, requirements gathering
  • Conducting exploratory analyses, data profiling, assessing the quality and suitability of sets/variables
  • Validating data sources and models, designing data flows
  • Verifying the accuracy of calculation results
  • Creating reports and visualizations
  • Development and deployment of production solutions
  • Maintaining and developing implemented solutions
  • Presenting concepts and business cases, discussing the results
Requirements
  • Higher education in a specific field: econometrics, quantitative methods, mathematics, computer science, or similar.
  • Min. 1 year of experience as a Data Scientist/Data Analyst, working with large data sets and production data.
  • Ability to work with data, identify common problems, design and implement workflows, and test them.
  • Good knowledge of data processing tools (SQL, Pandas).
  • Good knowledge of Python, including object-oriented programming.
  • Good knowledge of English, including technical concepts.
  • Good communication skills, ability to engage in dialogue with business, and present complex concepts.
  • Knowledge of machine learning techniques and algorithms and their implementation in Python.
  • Ability to work with code versioning tools (git).
Preferred
  • Experience in consulting/advisory/working for Various external clients, possibly internal (e.g., company analytics department) / experience in several industries.
  • Experience in end-to-end projects: from design to implementation.
  • Experience in the financial sector (banking, risk, AML).
Technology Stack

Open-source:
Python, notebook experience (Jupyter, Zeppelin). Libraries:
Pandas, Numpy, Scikit-learn, Xgboost (Keras, PyTorch, Tensor Flow, Optuna preferred). Git. Welcome – AWS, Snowflake

What we offer
  • Flexible employment options and working hours
  • Interesting, challenging work in a dynamically developing Capital Group company
  • Work on innovative projects using modern technologies
  • Direct influence on shaping the image of Capital Group companies on the market
  • Opportunities for broad-based skill development
  • Attractive salary
  • Employment stability and a friendly working atmosphere
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