PredictSpring

We are looking for an experienced Senior Data Scientist to join our team and help unlock the full value of data across our platform, products, and business operations. In this role, you will apply advanced analytics, machine learning, and statistical modeling to generate actionable insights, improve decision-making, and drive innovation across the organization.

Responsibilities

• Analyze large, complex datasets to uncover trends, patterns, and insights that support strategic business and product decisions.
• Build predictive models to forecast business outcomes, improve operational efficiency, and support decision-making across multiple functions.
• Design and implement feature engineering techniques to improve machine learning model performance and accuracy.
• Partner with cross-functional teams including product, engineering, operations, and business stakeholders to identify opportunities and translate them into scalable data science solutions.
• Clean, preprocess, and structure data from multiple sources to ensure high-quality inputs for analysis and modeling.
• Develop, test, and deploy machine learning models for use cases such as classification, regression, clustering, recommendation systems, and forecasting.
• Evaluate and optimize model performance using appropriate statistical and machine learning metrics.
• Create dashboards, reports, and visualizations that clearly communicate findings and recommendations to technical and non-technical audiences.
• Automate recurring analysis, reporting, and model workflows to improve efficiency and consistency.
• Monitor production models and continuously improve performance, reliability, and business impact over time.
• Stay current with the latest advancements in data science, machine learning, and AI, and apply relevant innovations to PredictSpring’s platform and operations.

Requirements

• Excellent communication skills, including fluent verbal English, with the ability to explain complex concepts to non-technical stakeholders and collaborate effectively across teams.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist, with a strong background in machine learning, statistical analysis, and predictive modeling.
• Strong programming skills in Python preferred, or similar languages such as R, with hands-on experience using libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
• Expertise in building and deploying machine learning models for classification, regression, time-series forecasting, recommendation systems, and related applications.
• Strong experience with data wrangling, feature engineering, and working with structured and unstructured datasets.
• Proficiency in SQL for querying, transforming, and analyzing structured data.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud for model deployment and data workflows.
• Experience with data visualization tools such as Power BI, Tableau, or Python visualization libraries.
• Strong analytical thinking, problem-solving ability, and a passion for applying data science to real-world business challenges.

Preferred Qualifications

• Familiarity with big data and distributed processing tools such as Apache Spark, Hadoop, or Databricks.
• Experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
• Experience with natural language processing techniques such as text classification, sentiment analysis, or large language model applications.
• Strong foundation in statistical analysis, experimentation, and hypothesis testing.
• Experience collaborating with or supporting data engineering teams in building scalable data pipelines.
• Familiarity with version control tools such as Git.
• Strong business acumen and the ability to align technical solutions with business goals.
• Experience in retail, e-commerce, omni-channel commerce, or POS technology is a strong plus.

Why PredictSpring?

• Join a market-leading company shaping the future of omni-channel retail and modern POS.
• Work on high-impact challenges at the intersection of commerce, data, and customer experience.
• Collaborate with a talented global team in a flexible remote work environment.
• Enjoy opportunities for growth, learning, and professional development.
• Contribute to products used by some of the world’s most recognized retail and lifestyle brands.
• Be part of an innovative, collaborative, and data-driven culture focused on delivering measurable business value.

We are looking for a Senior Data Engineer to join our growing team. In this role, you will help build and scale modern data infrastructure and pipelines that power analytics, business intelligence, product insights, and operational decision-making across our omni-channel commerce platform.
 

Responsibilities

• Design, build, and maintain scalable, reliable data pipelines and infrastructure across cloud environments.
• Develop and manage ETL/ELT workflows to ingest, transform, and load data from multiple sources into data warehouses and data lakes.
• Partner closely with product, engineering, analytics, and business teams to ensure trusted, accessible, and timely data across the organization.
• Optimize data storage, modeling, and query performance to support reporting, analytics, and operational use cases.
• Build and maintain batch and real-time data processing systems using modern tools and frameworks.
• Improve data reliability and quality by implementing monitoring, validation, alerting, and observability practices.
• Support deployment, scalability, and orchestration of data workloads using containerization and workflow automation tools.
• Implement and maintain CI/CD pipelines for data workflows and infrastructure.
• Ensure data governance, privacy, and security standards are upheld across all data systems.
• Contribute to architecture decisions, code reviews, documentation, and best practices for data engineering.
• Stay current with emerging technologies and best practices in data engineering to continuously improve platform capabilities.

Requirements

• Excellent communication skills, including fluent verbal English, with the ability to explain technical concepts to non-technical stakeholders and collaborate effectively across teams.
• Proven experience as a Data Engineer, with strong hands-on experience building and managing production-grade data pipelines.
• Strong proficiency with cloud platforms such as AWS and/or Azure, including modern data services.
• Experience with Python and strong SQL skills for data transformation, automation, and analysis.
• Experience with distributed data processing and streaming technologies such as Apache Spark, Kafka, or similar tools.
• Familiarity with workflow orchestration tools such as Airflow, DBT, or equivalent.
• Experience with data warehousing and lakehouse technologies such as Snowflake, Redshift, BigQuery, Databricks, or similar platforms.
• Solid understanding of ETL/ELT design patterns, data modeling, and data architecture best practices.
• Experience with Docker, Kubernetes, or other containerization and orchestration technologies.
• Familiarity with relational and NoSQL databases such as PostgreSQL, MongoDB, or Cassandra.
• Experience with version control systems such as Git.
• Strong problem-solving skills and a proactive approach to performance optimization, troubleshooting, and continuous improvement.

Preferred Qualifications

• Experience with data governance, security, and privacy best practices in cloud environments.
• Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation.
• Experience supporting analytics, machine learning, or reporting use cases with well-structured data systems.
• Knowledge of BI and visualization tools such as Power BI or Tableau.
• Previous experience working in agile, cross-functional product and engineering teams.
• Experience in retail, e-commerce, omni-channel commerce, or POS platforms is a strong plus.

Why PredictSpring?

• Join a category-leading company transforming the future of retail and omni-channel commerce.
• Work with innovative technology powering seamless online and in-store customer experiences.
• Collaborate with a talented, global team in a flexible remote work environment.
• Enjoy opportunities for professional growth and career development.
• Make a direct impact on products used by some of the world’s most recognized retail brands.
• Be part of a fast-moving, collaborative, and customer-focused culture at the forefront of commerce innovation.