Data Scientist at Welocalize

Mexico

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

MSc or PhD in Machine Learning, Data Science or similar discipline with robust statistical, data analysis, and machine learning competency (or equivalent experience)
Hands-on experience working directly with stakeholders in a business environment to provide data analytics support, create & present data visualizations, and devise ways to leverage various complex sources of data to generate actionable business insight
Mastery of common data science tools such as Python or R (and related code libraries), and experience using them to design and build predictive models for use in real-life business applications leveraging proprietary business datasets, to achieve defined performance improvement objectives
Preferred: a track record of deploying such models to end users; training users on how to interpret the outputs of the models and applying them to their regular business processes; and modifying/improving models over time to adapt to changing business needs

Responsibilities

Provide machine learning/data science expertise and collaborate with data analysts and data engineers to construct, support, and continuously refine BI data systems
Deploy analytical approaches and tools to support business stakeholders with cutting-edge business intelligence and data visualizations
Leverage the organization’s data assets to develop, maintain, and support the implementation of predictive models that improve business performance in areas such as on-time delivery (OTD), quality performance, and other TBD items
Maintain familiarity and stay up-to-date on state-of-the-art machine learning/data science approaches applicable to the role
Engage directly with business stakeholders across the organization to cultivate a working knowledge of business realities, problems, and opportunities, and leverage this to turn analytical models into practical, value-added solutions
Collaborate with product & development teams to facilitate the deployment of predictive models into business-facing work surfaces and systems
Contribute expertise, problem-solving capability, thought leadership, and supplementary bandwidth to ongoing efforts of the Analytics Solutions team, including maintenance and development of Data Warehouse, its connections to other data systems & assets, and ensuring responsiveness of BI reporting systems
Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning; discerning where simple analytics solutions (e.g., a quick visualization) are preferable to complex solutions (e.g., machine learning)
Become proficient in, and compliant with, team requirements around the intake and documentation of various initiatives and progress within existing product management platforms (e.g., Jira)

Skills

Machine Learning

Data Science

Predictive Modeling

Business Intelligence

Data Visualization

Data Warehouse

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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