Prompt & Python Data Analytics Developer at Welocalize

Noida, Uttar Pradesh, India

Welocalize Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Localization, Translation, AIIndustries

Requirements

  • Proficiency in Python (3.x) with strong knowledge of standard libraries
  • Hands-on experience with pandas and NumPy for data analytics
  • Familiarity with data wrangling, preprocessing, and transformation techniques
  • Experience in prompt engineering and integrating prompts into applications
  • Strong understanding of testing frameworks (pytest, unittest)
  • Version control experience (Git/GitHub)
  • Familiarity with project management tools (Jira)
  • Analytical Mindset – Skilled at uncovering insights from data
  • Technical Rigor – Builds clean, maintainable Python + analytics pipelines
  • Problem-Solving – Uses data to validate, optimize, and refine workflows
  • Collaboration – Works effectively across data, engineering, and product teams
  • Attention to Detail – Ensures data quality, reproducibility, and transparency
  • Preferred Qualifications
  • Familiarity with visualization libraries (e.g., matplotlib, seaborn)
  • Experience handling large datasets and performance optimization
  • Knowledge of NLP evaluation techniques
  • Exposure to SQL or other data querying tools

Responsibilities

  • Create, refine, and optimize prompts for language model applications
  • Automate prompt workflows in Python for scalable production use
  • Write modular, maintainable Python code leveraging standard libraries
  • Use pandas and NumPy to clean, transform, and analyze datasets
  • Conduct exploratory data analysis (EDA) to uncover trends and support model improvements
  • Implement reproducible data workflows and maintain dataset documentation
  • Build test suites for both code and prompt-based workflows
  • Apply data-driven validation techniques to measure accuracy and reliability
  • Partner with data scientists and ML engineers to support analytics and evaluation tasks
  • Share findings, document workflows, and contribute to best practices

Skills

Python
pandas
NumPy
Prompt Engineering
Data Analytics
Data Processing
NLP

Welocalize

Provides AI-driven content localization services

About Welocalize

Welocalize assists businesses in enhancing customer engagement by providing localized content that meets the cultural and linguistic needs of different regions. Their AI-enabled Service Delivery Platform, OPAL, streamlines the translation and approval processes, allowing companies to reduce costs and improve efficiency. Unlike competitors, Welocalize leverages AI and automation to deliver services more effectively, resulting in better business outcomes for clients. The company's goal is to empower businesses to connect with international customers through advanced localization solutions.

New York City, New YorkHeadquarters
1997Year Founded
$33.1MTotal Funding
GROWTH_EQUITY_VCCompany Stage
Enterprise Software, AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Accident Insurance
Critical Illness Insurance
Hospital Indemnity Insurance
Telemedicine Benefit
Paid Sick Time
Paid Holidays
Employee Assistance Program
Mileage Reimbursement
Medical Insurance
Dental Insurance
Vision Insurance
Health Savings Account/Flexible Spending Account
Voluntary Life Insurance
401(k) Retirement Plan

Risks

Competition from AI-driven tools like DeepL and Google Translate threatens market share.
Rapid AI advancements may commoditize basic translation services, pressuring differentiation.
Economic uncertainties in key industries could reduce spending on localization services.

Differentiation

Welocalize's OPAL platform uses AI to streamline translation and content adaptation processes.
The company offers specialized linguistic validation services for clinical trials and healthcare.
Welocalize's TranslationRater™ plugin for ChatGPT enhances translation quality assessment capabilities.

Upsides

Growing demand for AI-driven localization boosts Welocalize's market opportunities.
Rising interest in multilingual e-learning aligns with Welocalize's expertise.
Healthcare sector's AI integration offers new service expansion opportunities for Welocalize.

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