Data Scientist - Time series and forecasting

Data Scientist - Consumer Anaytics, Forecasting

Lingaro Group

Data Scientist - Consumer Anaytics, Forecasting India, Remote   Tasks: ·       Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)  ·       Analyzing and interpreting the findings  ·       Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes   ·       Pre-sales activities (at senior consultant level)  Requirements: Must Have: ·       Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.)  ·       Familiarity with customer analytics DS concepts or advanced forecasting  ·       Model hyperparameter tuning  ·       Model validation frameworks    ·       Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation  ·       Previous experience in an analytical role supporting business will be a plus  ·       Fluency in Python, basic working knowledge of SQL  ·       Knowledge of specific DS/ML libraries  ·       Solid experience in one of the cloud computing platforms (Databricks or GCP or Azure)     Nice To Have: understanding of Causal machine learning  experience in working with big data and distributed environments would be a plus  commercial experience proven by multiple successful projects in the areas of forecasting would be a big plus  Experience with OOP in Python  Experience with MLOps  familiarity with other languages R, Scala would be a plus    General:  basic computer programming skills and familiarity with programming concepts   strong business acumen  experience with deep learning, reinforcement learning or other advanced modeling concepts in classical Data Science problems  ability to come up with creative solutions to address customer problems    Why join us:    ·       Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites. ·       100% remote. ·       Flexibility regarding working hours. ·       Full-time position ·       Comprehensive online onboarding program with a “Buddy” from day 1. ·       Cooperation with top-tier engineers and experts. ·       Unlimited access to the Udemy learning platform from day 1. ·       Certificate training programs. Lingarians earn 500+ technology certificates yearly. ·       Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly. ·       Grow as we grow as a company. 76% of our managers are internal promotions. ·       A diverse, inclusive, and values-driven community. ·       Autonomy to choose the way you work. We trust your ideas. ·       Create our community together. Refer your friends to receive bonuses. ·       Activities to support your well-being and health. ·       Plenty of opportunities to donate to charities and support the environment.

Senior Data Scientist

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the Team The Finance Data Science team owns the forecasting systems that power Snowflake’s revenue planning and long-term financial strategy. Our work supports corporate planning, executive decision-making, and investor reporting, and we partner closely with Product and Sales to understand customer behavior and product impact. We operate at the intersection of machine learning, statistical research, and corporate finance, building production-grade forecasting infrastructure that is foundational to how the company plans and operates. The Role As a Senior Data Scientist, you will independently lead high-impact modeling initiatives and build production-ready forecasting systems for core financial metrics. You will work on complex, open-ended problems at the intersection of machine learning and business strategy, translating real-world financial questions into rigorous, scalable models. What You’ll Do * Design and implement advanced time-series and probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches, multivariate forecasting). * Contribute to internal tooling and shared infrastructure that enables scalable forecasting and analytics. * Establish best practices for model evaluation, backtesting, uncertainty quantification, and scenario simulation. * Apply advanced statistical and ML techniques to model customer behavior, product adoption, revenue dynamics, and cost trends. * Drive improvements in automation, monitoring, drift detection, and lifecycle management of forecasting models. * Partner with Finance, Product, and Sales teams to quantify the impact of new initiatives and understand key business drivers. * Mentor and provide technical guidance to other data scientists; raise the bar for modeling rigor and production quality across the team. * What We’re Looking For * Advanced degree in a quantitative discipline (Statistics, Mathematics, Operations Research, Economics, Engineering, Computer Science) or equivalent practical experience. * 8+ years of experience building and deploying production-grade ML or statistical systems, with significant experience in time-series modeling. * Deep expertise in probabilistic modeling, forecasting methodologies, and model evaluation techniques. * Strong proficiency in Python and the scientific Python ecosystem; fluency in SQL. * Experience designing systems for large-scale data processing (e.g., Snowflake, BigQuery, Redshift, Spark). * Demonstrated ability to lead technically ambiguous projects with significant business impact. * Excellent communication skills, with experience presenting complex quantitative findings to executive stakeholders. * A track record of elevating technical standards and mentoring other scientists. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Observability, Data Scientist

Graphcore

Salary Range: PLN 350,700 - 474,400 + Benefits + Equity Subject to alignment to the responsibilities and duties of the role. Location: Gdańsk - Hybrid Working Policy - 2-3 Days per week in office   About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.   Job Summary  We are seeking a Data Scientist / Data Analyst to transform large-scale infrastructure and hardware-level telemetry into actionable insights, predictive intelligence, and automated decision systems. Working closely with telemetry platform engineers, you will analyze data across the full stack - from data center infrastructure down to chip-level signals (power, thermals, performance counters, reliability indicators) to detect anomalies, predict failures, and optimize system behaviour. This role complements telemetry engineering by extracting intelligence from observability systems and enabling data-driven control loops. You will operate at the intersection of data science, distributed systems, and infrastructure observability.   Key Responsibilities   Data Analysis & Modelling * Analyse large-scale telemetry datasets (metrics, logs, events) across multiple layers: data center (clusters, networking, cooling), system (servers, accelerators), silicon-level (on-chip sensors, performance counters, voltage, thermal, error signals). * Develop anomaly detection models for infrastructure-level events and hardware/silicon anomalies (e.g., thermal hotspots, voltage instability, error rate drift). * Build predictive models for fault detection and failure forecasting (e.g., hardware degradation, thermal issues, network anomalies).  * Apply statistical and machine learning techniques to identify patterns and root causes.    Automation & Intelligence * Design automated remediation strategies informed by both system and hardware-level signals. * Collaborate with engineering teams to integrate models into observability and control systems. * Enable closed-loop optimization using real-time hardware telemetry streams.    Data Engineering Collaboration * Work with telemetry engineers on data ingestion pipelines, ensuring data quality and usability. * Help define schemas, feature extraction pipelines, and aggregation strategies (e.g., down-sampling, windowing). * Optimize use of time-series databases and analytics platforms.    Visualization & Reporting * Build dashboards and visualizations for operational insights (Grafana, Superset, etc.).  * Present complex data in clear, actionable formats for engineering and leadership.  * Define KPIs and health metrics for infrastructure systems.    Cross-Functional Collaboration * Partner with platform, hardware, and software teams to understand system behaviour.  * Support debugging, performance analysis, and benchmarking efforts using telemetry data.  * Contribute to reference designs and best practices for observability and analytics.   Skills and Experience  Essential: * BSc/MSc/PhD in Data Science, Computer Science, Statistics, or related field. * Strong experience with time-series data analysis and large-scale telemetry datasets. * Proficiency in Python (NumPy, Pandas, SciPy, ML frameworks). * Experience with: * Anomaly detection techniques (statistical + ML-based) * Predictive modeling and forecasting * Signal processing techniques (filtering, smoothing, FFT or similar is a plus) * Data visualization tools (e.g., Grafana, Tableau, Plotly) * Familiarity with: * Time-series databases (e.g., Prometheus, InfluxDB) * Observability stacks and monitoring systems * Strong understanding of data pipelines and distributed systems. * Excellent communication skills - ability to translate data insights into engineering actions.   Desirable: * Experience with data center infrastructure, hardware telemetry and cloud platforms. * Knowledge of monitoring, observability and management solutions in use by hyperscalers. * Familiarity with root cause analysis in distributed systems. * Experience deploying models into production. * Understanding of system architecture (CPU/GPU/accelerators, networking) . * Experience with real-time analytics frameworks (Kafka, Flink, Spark). BENEFITS In addition to a competitive salary, annual leave policy, medical and dental health plans, a gym card and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees.  We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. SPONSORSHIP Applicants for this position must hold the right to work in the Poland. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.