Senior Data Scientist

Senior Data Scientist – Forecasting & Applied AI

Poland (Remote) | Full-Time | BloomIQ Technologies Inc.

About BloomIQ

BloomIQ is building the intelligence platform for the global fresh produce industry. We combine AI, predictive analytics, weather intelligence, market data, and modern cloud infrastructure to help growers, retailers, distributors, traders, and investors make better commercial decisions.

The Opportunity

We are looking for a commercially minded Data Scientist who can work independently using data analysis techniques, Machine learning algorithms, stochastic analysis, deep learning models to understand databases and their relation across time steps to turn the raw data into actionable insights using multivariate models. This is a senior role: you will own the scientific quality of models from problem definition and experimentation through validation, explainability, and ongoing performance.

You will work closely with our CTO, Product, domain experts, and GCP engineering team. The Data Scientist will lead modelling and analytical methodology.

You will be joining a young and fast paced exciting team where you will be able to suggest, experiment your ideas and growth opportunity.

What You'll Be Doing

· Analyzing multi-variable tabular datasets to understand patterns for insights, classification and forecasting;

· Create multiple types of materialized views and tables in SQL and N0-SQL databases for the engineering team to access

· Be comfortable working with: stochastic processes and stochastic modelling, Bayesian statistics and probabilistic programming

· Have experience with Machine learning models such as gradient-boosted trees, regression algorithms, optimization algorithms, Arima

· Deep learning for sequences and tabular data

· Be comfortable working in GCP

· Engineer features that capture seasonality, lead-lag relationships, weather effects, trade flows, product relationships, and regional dynamics.

· Benchmark statistical, machine-learning, deep-learning, and emerging AI approaches, selecting the most robust and practical method for each problem.

· Design rigorous backtesting and evaluation frameworks using temporal validation, appropriate baselines, error analysis, uncertainty estimates, and explainability.

· Work independently in Python, Pandas, NumPy, SQL, and BigQuery to conduct analysis and build reproducible modelling workflows.

· Create clear analytical visualizations and communicate model behaviour, limitations, and commercial implications to technical and non-technical stakeholders.

· Prototype and evaluate modern and emerging AI frameworks, LLMs, fine-tuning approaches, AI agents, workflow automation, and tool integrations where they add measurable value.

· Partner with GCP engineering to productionize validated models through batch workflows or APIs, defining input/output contracts, performance requirements, and monitoring criteria.

· Monitor model accuracy, drift, stability, and business impact, and establish appropriate retraining and review processes.

· Maintain high standards of reproducibility through Git versioning, code review, testing, experiment tracking, documentation, and clear assumptions.

What We're Looking For

· 5+ years of professional experience in data science, applied machine learning, quantitative analytics, or a closely related field. Exceptional candidates with less experience will also be considered.

· Bachelor's, Master's, or PhD in data science, statistics, mathematics, computer science, engineering, economics, or another quantitative discipline—or equivalent practical experience.

· Strong Python skills, and ML libraries

· Strong SQL skills and the ability to work confidently with BigQuery

· Strong GCP skills

· Experience with one or more advanced modelling frameworks or libraries, such as XGBoost, LightGBM, PyTorch, TensorFlow

· Experience with feature engineering, model benchmarking, hyperparameter tuning, explainability, and robust out-of-sample validation.

· Strong commercial judgement and the ability to explain complex findings clearly to product teams, leadership, customers, and domain experts.

· A practical mindset: comfortable balancing model sophistication with reliability, speed, cost, interpretability, and customer value.

Nice to Have

· GCP certification

· Experience with probabilistic forecasting, Bayesian methods, causal inference, optimization, recommendations, or decision-support systems.

· Experience integrating modern and emerging AI frameworks, LLMs, fine-tuning, AI agents, workflow automation, and tool integrations into production products.

· Experience with geospatial, weather, climate, commodity, supply-chain, agriculture, or other complex time-dependent datasets.

· Experience in AgTech, analytics, weather intelligence, commodities, or data-intensive SaaS platforms.

How You’ll Work With Engineering

· Own the scientific layer: problem framing, data exploration, feature design, modelling, experimentation, validation, uncertainty, explainability, and model-quality standards.

· Partner with the Full Stack GCP & AI Developer on production data flows, APIs, cloud deployment, observability, product integration, and customer-facing experiences.

· Collaborate on shared standards for data contracts, versioning, testing, model monitoring, cost, performance, and iteration.

Why Join BloomIQ?

· Work on high-impact problems where better forecasts and intelligence can change real commercial decisions.

· Build with unique global market, weather, trade, and supply-chain datasets.

· See your models become customer-facing product capabilities—not research that sits on a shelf.

· Work directly with founders, senior leadership, product, engineering, and industry experts.

· Join a remote-first, ambitious team building a new category of intelligence platform.

Working at BloomIQ

BloomIQ is a virtual company, and our team works remotely. The successful candidate must be comfortable collaborating across locations, time zones, and digital platforms.

BloomIQ is an equal-opportunity employer. We value diversity and are committed to creating an inclusive workplace in which all qualified applicants are considered without discrimination based on race, ethnicity, religion, gender, gender identity, sexual orientation, age, disability, family status, or any other protected characteristic.

Applying

Please submit your CV and, where available, examples of forecasting, machine-learning, or applied AI work. This may include a portfolio, GitHub profile, published work, or a brief description of models you have helped take from experimentation into production. We understand that proprietary work cannot always be shared.