Bosta

Data Scientist

• Build AI-powered systems using NLP, LLMs, and agentic workflows
• Develop NLP solutions for tasks such as text classification, entity extraction, intent detection, summarization, and sentiment analysis
• Design and implement agentic AI systems that reason over conversations, historical data, and business rules
• Apply traditional machine learning techniques for prediction, classification, and optimization
• Use operations research techniques (optimization, heuristics, simulations) to support logistics and operational decision-making
• Collaborate with product, engineering, operations, and commercial teams to translate business problems into data science solutions
• Build end-to-end pipelines: data ingestion, feature engineering, modeling, evaluation, deployment, and monitoring
• Deploy models and AI services to production using cloud platforms and modern MLOps practices

Associate Data Scientist

Data Engineer

• End-to-end pipeline work: MongoDB CDC → ingestion → lakehouse → warehouse → dbt → semantic layer → BI/AI consumers
• Co-ownership of architecture decisions with the Data Engineering Lead
• CDC from production MongoDB without degrading operational DB performance; ingestion patterns that make adding a new source a config change, not a project
• Orchestration that’s observable end-to-end (Airflow, Dagster, or Prefect)
• The dbt project: structure, conventions, tests, contracts, exposures, CI
• The semantic / metrics layer (dbt Semantic Layer, Cube, or equivalent) — one canonical definition per business metric
• LLM-readiness: column-level documentation, PII tagging, query cost guardrails, materialized metric tables, and evals on AI-generated SQL
• Migration of existing logic out of the Tableau and Metabase sprawl into modeled, governed sources

Senior Data Engineer

Product Manager

• As a Product Manager at our tech startup, you will be responsible for driving the success of our products. You will collaborate with cross-functional teams to define product strategies, prioritize features, and deliver high-quality products that meet customer needs.
• Tracking industry trends and the competitive landscape as you pertain to the product.
• Assessing the business objectives and customer problems.
• Driving the roadmap prioritization based on the results impact and cost, conceptual thinking, and execution of new and existing products.
• Working hand in hand with stakeholders to ensure that the objectives align with their pain points. Deep diving into the problem discovery and research in the field with real customers. Writing well-crafted EPICs and user stories to define the problem, goal, solution, and success metrics.
• Collaborating with the product design team to help them innovate a solution for the problem.
• Conducting user interviews to hit the pain points firsthand and validating design solution prototypes before developing them.
• Collaborating with the engineering team to think about the problem and how you will tackle the solution, then hand off the EPIC and user stories in an executable storytelling format.
• Preparing the sprint deliverables at the beginning of each sprint.
• Working and communicating closely with business stakeholders and non-technical teams to align their feedback pain points and priorities with your strategy and roadmap.
• Overseeing product performance metrics and taking actions needed to enhance it.
• Helping everyone see the bigger picture & solving holistic problems.
• Guiding, leading, and inspiring the assigned team to maximize their outcome and ensure alignment.

Accountant

• Process accounts and incoming payments in compliance with financial policies and procedures
• Perform day-to-day financial transactions, including verifying, classifying, computing, posting, and recording accounts receivable data.
• Prepare bills, invoices, and bank deposits.
• Reconcile the accounts receivable ledger to ensure that all payments are accounted for and properly posted
• Communicate with other departments and reply to the merchants’ complaints in a good manner while meeting the SLA.
• Ability to work on various systems (Operations, CRM & ERP).
• Verify discrepancies and resolve clients’ billing issues.
• Facilitate payment of invoices due by sending bill reminders and contacting clients.

AR Accountant

Financial Planning and Analysis

• Conduct outbound and inbound sales calls to promote financing products.
• Assess customer needs and recommend appropriate financial solutions.
• Manage a high volume of leads with disciplined follow-up.
• Achieve monthly sales targets and performance KPIs.
• Maintain accurate CRM data and ensure compliance with internal policies.
• Collaborate with internal teams to resolve issues and support client onboarding.

Associate Data Scientist

Senior Data Engineer

Product Manager

AR Accountant

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