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Senior Data Scientist
Отличная позиция в быстрорастущей продуктовой компании с фокусом на передовые технологии (GenAI, Agentic systems). Четко прописанные критерии успеха и сильный стек технологий делают вакансию очень привлекательной для опытных специалистов.
Сложность вакансии
Роль требует глубоких знаний как в классическом ML (деревья, вероятностное моделирование), так и в современных LLM/GenAI стеках. Высокая планка ожиданий по инженерным навыкам (MLOps, Spark, Kafka) и опыту работы с реальными «грязными» данными в логистике.
Анализ зарплаты
Предлагаемая роль Senior Data Scientist в Бангалоре соответствует высокому сегменту рынка для международных продуктовых компаний. Оценка базируется на данных для Tier-1 технологических компаний в Индии.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Scientist position at project44. With over 5 years of experience in building production-grade ML systems and a deep expertise in both traditional predictive modeling and modern GenAI applications, I am excited about the opportunity to contribute to your Decision Intelligence Platform, Movement. My background in developing scalable ML infrastructure and RAG systems aligns perfectly with your goal of building Data Science as a Platform.
In my previous roles, I have successfully translated complex business workflows into measurable ML solutions, specifically focusing on ETA prediction and anomaly detection. I am particularly drawn to project44’s mission to redefine global supply chains through AI-powered insights. I am confident that my technical proficiency in Python, SQL, and modern data stacks like Snowflake and Databricks, combined with my experience in leading agentic system development, will allow me to drive significant impact within your engineering team.
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Откликнитесь в project44 уже сейчас
Присоединяйтесь к лидеру в области Supply Chain AI и создавайте будущее глобальной логистики вместе с project44!
Описание вакансии
Why project44?
At project44, we believe in better.
We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world.
With our Decision Intelligence Platform, *Movement*, we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward.
Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.
If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk.
Description:
project44 is looking for a Senior Data Scientistto join our engineering team. You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations to accelerate how project44 connects to the world’s logistics networks.
About the Role
- Senior Data Scientist to lead the development of next-generation AI/ML systems at Project44, spanning ETA, risk, anomaly detection, and supply chain intelligence. This role sits at the intersection of applied modeling, platform thinking, and production impact, with a mandate to both ship high-value ML capabilities and build reusable Data Science platform primitives that scale across teams.
- In addition, this role will drive the integration of Generative AI, LLMs, and agentic systems into core workflows—enabling reasoning-driven diagnostics, automation, and intelligent decision support across the supply chain.
- You will work closely with Data Science, ML Engineering, Data Engineering, Platform, and Product teams to deliver production-grade systems and establish a scalable, repeatable approach to AI development at P44.
What You’ll Do
- Drive High-Impact ML Systems Lead end-to-end development of models for ETA, risk, anomaly, and fraud—leveraging advanced techniques (embeddings, transformers, hybrid models).
- Build Data Science as a Platform Develop reusable ML infrastructure (features, experimentation, deployment, monitoring) to scale model development and reduce time-to-production.
- Lead GenAI & Agentic Systems Build LLM-powered solutions (RAG, diagnostics, automation, coding agents) and establish guardrails, evaluation, and explainability.
- Translate Business Problems into ML Solutions Convert customer workflows into well-defined ML problems and ensure measurable business impact.
- Drive Experimentation & Evaluation Establish strong offline/online evaluation frameworks tied to business outcomes.
- Collaborate Across Engineering Partner with MLE and DE to build scalable, reliable systems across the ML lifecycle.
What We’re Looking For
- Experience 5+ years in Data Science / Applied ML with a strong track record of building and deploying production-grade ML systems.
- Core Modeling & Technical Expertise Deep expertise across tree-based models, transformers, probabilistic modeling, and feature engineering, with a strong data-centric mindset.
- Data & Platform Fluency Proficient in SQL and Python, with hands-on experience in modern data platforms (Snowflake/Databricks), pipelines (Spark, Airflow), streaming systems (Kafka), and MLOps tooling.
- GenAI & LLM Capability Experience building RAG systems, working with embeddings and vector databases, and developing LLM-based applications and agentic workflows. Strong understanding of evaluation, guardrails, and safe deployment of GenAI systems.
- Systems & Engineering Mindset Familiarity with distributed systems, APIs, and deployment patterns, with the ability to write clean, production-quality code.
- Analytical Rigor & Diagnostics Strong ability to evaluate model performance, detect edge cases, run root cause analysis, and design robust monitoring and evaluation frameworks.
- Data Quality & Signal Awareness Experience handling messy, real-world data, including drift, bias, missingness, and anomalies, along with tools and techniques to detect and address these issues.
- Modeling Judgment & Trade-offs Ability to identify when to use ML versus heuristics and design pragmatic hybrid solutions. Strong understanding of architectural trade-offs across models and systems.
- Business Impact Orientation Clear understanding of how ML metrics translate to business outcomes, with the ability to balance trade-offs across accuracy, scalability, latency, and customer experience.
- Leadership & Communication Strong problem framing, stakeholder influence, and ability to communicate model behavior and decisions clearly to both technical and non-technical audiences. Proven track record of driving measurable business impact.
Preferred Skills
- Experience in logistics (Ocean, Truckload), supply chain, or high-volume operational systems
- Experience with geospatial data, routing, and tracking systems
- Experience with anomaly detection, fraud modeling, ETA prediction
- Experience building internal platforms or tools for DS teams
What Success Looks Like (6–12 Months)
- Deliver 2 high-impact ML capabilities with measurable customer value
- Establish standardized experimentation, monitoring, and RCA workflows
- Introduce GenAI/agentic capabilities that improve productivity and insight generation
- Reduce time-to-production and increase reuse across DS teams
- Drive measurable improvements in model performance and system reliability
In-office Commitment:This position requires a commitment to contribute to our collaborative culture by working in-office three days weekly.
Diversity & Inclusion
At project44, we're designing the future of how the world moves and is connected through trade and global supply chains. As we work to deliver a truly world-class product and experience, we are also intentionally building teams that reflect the unique communities we serve. We’re focused on creating a company where all team members can bring their authentic selves to work every day.
We’re building a company that every one of us at project44 is proud to work for, and our journey of becoming a more diverse, equitable and inclusive organization, where all have a sense of belonging, is shaped through the actions of our leadership, global teams, and individual team members. We are resolute in our belief that each team member has an equal responsibility to mold and uphold our culture.
project44 is an equal opportunity employer seeking to enrich our work environment by creating opportunities for individuals of all backgrounds and experiences to thrive. If you share our values and our passion for helping the way the world moves, we’d love to review your application!
For any accommodation needed during the hiring process, please email recruiting@project44.com. Even if you don’t meet 100% of the above job description you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements.
More about project44
Since 2014, project44 has been transforming the way one of the largest, most important global industries does business. As transportation and logistics continue to evolve and customer expectations around delivery become more demanding, industry technology must rise to the occasion. In just a few short years, we have created a digital infrastructure that eliminates the inefficiencies caused by dated technology and manual processes. Our Advanced Visibility Platform is used by the world’s leading brands to track shipments, collaborate with supply chain partners, drive operational efficiencies, and create outstanding customer experiences.
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Навыки
- Python
- SQL
- Machine Learning
- LLM
- Generative AI
- RAG
- Snowflake
- Databricks
- Apache Spark
- Airflow
- Kafka
- MLOps
- Transformers
- Geospatial Data
- Anomaly Detection
Возможные вопросы на собеседовании
Проверка опыта работы с временными рядами и спецификой логистики.
Как бы вы подошли к моделированию ETA, учитывая высокую зашумленность данных и внешние факторы, такие как задержки в портах или погода?
Оценка навыков в области GenAI, заявленных в вакансии.
Опишите ваш опыт внедрения RAG-систем: как вы оценивали качество ответов и какие стратегии индексации использовали?
Проверка понимания MLOps и платформенного подхода.
Какие компоненты вы считаете критически важными для создания внутренней DS-платформы, которая сокращает time-to-production?
Оценка умения работать с качеством данных.
Расскажите о случае, когда вы обнаружили дрейф данных (data drift) в продакшене. Как вы его диагностировали и устранили?
Проверка баланса между теорией и бизнес-прагматизмом.
В каких ситуациях вы предпочтете простую эвристику сложной модели трансформера для решения задачи в цепочке поставок?
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