Data Scientist - Lithuania

OneMarketData

4 years

0 Lacs

mumbai maharashtra india

Posted:1 day ago| Platform:

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Skills Required

data analytics learning ml automate design monitoring reporting forecasting recruiting algorithms clustering regression analyze model training drive deployment support development python analysis numpy database etl sql openai api engineering integration containerization ai cutting stack aws collaborative

Work Mode

On-site

Job Description

About The Role

We are building advanced analytics and machine learning solutions on top of our high-performance FinTech platform. As part of the LLM & ML Analytics Team, you’ll automate, design, implement, and deploy monitoring, reporting, and forecasting systems—delivering actionable insights and enabling advanced workflows, including natural language analytics powered by LLM agents.Prior to advancing with your application, we kindly request that you review the
CONSENT NOTICE FOR HR AND RECRUITING provided by OneMarketData. Your attention to this matter is greatly appreciated.
What You’ll Work On

Develop statistical models and machine learning algorithms (e.g., anomaly detection, clustering, regression) with an understanding of customer demands.
Prepare, engineer features, and analyze large-scale financial datasets.
Build and maintain production-ready ML pipelines for model training, validation, and performance monitoring.
Design and implement workflows for reporting, alerting, and forecasting.
Develop and refine LLM-powered agents to enable natural language interaction and analytics automation.
Drive the deployment and support of your products.

What We’re Looking For

2–4 years of experience in Data Science, including hands-on development and validation of statistical models and ML solutions.
Strong proficiency in Python and data analysis libraries (numpy, pandas, scikit-learn, LightGBM).
Solid knowledge of database systems and ETL processes (SQL, data aggregation).
Practical experience integrating LLM APIs and related tools (OpenAI API, MCP, Langfuse).
Strong engineering focus on product integration and deployment.
Proficient spoken, written, and reading English skills required.

Bonus Points For

Understanding of financial market data and experience working with FinTech platforms.
Exposure to advanced LLM techniques and frameworks (e.g., RAG, LangGraph, multi-agent pipelines).
Experience with MLOps practices, containerization, CI/CD pipelines, and model monitoring in production.

Why Join Us?

Join a high-caliber team at the intersection of AI and FinTech.
Drive the development of business-critical features and share your expertise through technical articles and demos. For example, here is our medium space where we publish our achievements.
Work with a cutting-edge stack: LightGBM, Langchain, Langfuse, AWS and more.
Influence the direction of our products and deliver rapid, tangible impact.
Enjoy a collaborative environment with fast release cycles and a strong engineering culture.

Equal Employment Opportunity
As an Equal Employment Opportunity (EEO) Employer, OneMarketData prohibits discriminatory employment actions against and treatment of its employees and applicants for employment based on actual or perceived race or color, size (including bone structure, body size, height, shape, and weight), religion or creed, alienage or citizenship status, sex (including pregnancy), national origin, age, sexual orientation, gender identity (one’s internal deeply-held sense of one’s gender which may be the same or different from one’s sex assigned at birth); gender expression (the representation of gender as expressed through, for example, one’s name, choice of pronouns, clothing, haircut, behavior, voice, or body characteristics; gender expression may not conform to traditional gender-based stereotypes assigned to specific gender identities), disability, marital status, relationship and family structure (including domestic partnerships, polyamorous families and individuals, chosen family, platonic co-parents, and multigenerational families), genetic information or predisposing genetic characteristics, military status, domestic violence victim status, arrest or pre-employment conviction record, credit history, unemployment status, caregiver status, salary history, or any other characteristic protected by law.
The position will require a background check, signed NDA, signed contract, and signed GDPR processor passthrough agreement (since we act as a data processor under GDPR). Salaries will be commensurate with experience, education, skillset, and local norms. Kindly note that only shortlisted candidates will be contacted for an interview.

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