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    Data Scientist

    USA, Texas, Dallas

    • $120,000 to $135,000 USD
    • Data Science Stelle
    • Fähigkeiten: Data Science
    • Seniority: Mid-level

    Jobbeschreibung

    Create, implement, and launch cutting-edge machine learning and AI-driven algorithms/predictive models to enhance Underwriting, Customer Management, Marketing, and Operational processes

    Evaluate, preprocess, combine, and analyze extensive datasets using standardized data manipulation methods and techniques, utilizing tools like R, Python, and/or Apache Spark

    Offer expertise and guidance on third-party data providers including knowledge of available products and data, recommendations on what to purchase or discontinue, cost-benefit analysis, data dictionaries, effective use of variables, and understanding their limitations and advantages

    Create, build, and implement both linear and nonlinear algorithms for testing, development, and integration into our underwriting engine, focusing on risk management across all channels

    Effectively utilize data mining techniques to optimize response and approval rates and develop strategies to boost the profitability of products

    Ensure clear and detailed model documentation on Wiki Server using reproducible research tools like IPython, Rmarkdown, Jupyter Notebook, and others

    Deploy scoring models on different platforms, including R, on-premise, and cloud systems, in formats like Java objects, R models, and Apache Spark models.

    Serve as the primary point of contact and functional lead for business partners, ensuring support for all needs and objectives

    Guide and oversee analytical projects while mentoring Junior Data Scientists



    Experience and Education:

    A Master's degree in a highly quantitative discipline (e.g. Economics, Statistics, Mathematics, Engineering, or similar fields)

    Hands-on experience in Data Science or Modeling.

    Competence in Linux and proficiency in R, Python, or Java; experience with version control tools (e.g., Git), as well as big data technologies and frameworks (e.g., Spark, Hadoop).

    Proven expertise in advanced statistical modeling and substantial exposure to machine learning techniques such as Random Forest, LASSO, Gradient Boosting, Elastic Net, etc.

    Proven ability to thrive in fast-paced environments with shifting priorities, while effectively communicating and collaborating with Risk Management teams and executives.

    Strong data manipulation and engineering abilities, with experience in performing complex data transformations

    Hands-on experience with a range of database technologies, including but not limited to MSSQL Server, SAS Datasets, Hadoop, Kafka, Spark, Redshift, HBASE, Spark Streaming, Oracle, Neo4j, Teradata, MySQL, Amazon AWS, DB2, Cassandra, PostgreSQL, Apache Hive/Impala, and NoSQL data formats (including XML & JSON ).



    Required Skills, Abilities, Soft Skill Factors:

    Technological Expertise - Comprehensive knowledge of Python, Scala, R, Java, SAS, SQL, MATLAB, and/or SPSS, along with risk management technologies, enabling the use of these tools to enhance organizational decision-making.

    Motivational Abilities - Proven track record of meeting challenging organizational goals, instilling a sense of urgency, and overcoming obstacles to deliver results.

    Analytical and Administrative Abilities - Strong problem-solving and analytical thinking skills, with the capacity to assess trends and recommend solutions to complex issues.

    Communication Proficiency - Excellent verbal and written communication skills, with the ability to promote open dialogue, listen attentively, and cultivate strong professional relationships.

    Innovative Thinking - Continuously challenges conventional approaches to foster new ideas and embraces a flexible mindset.

    Adaptability - Demonstrates resilience and effectiveness when dealing with stress, uncertainty, difficult situations, and changing priorities.

    Results-Oriented - Self-motivated and proactive in taking ownership of tasks and driving projects to completion.

    Senior Engineer (Backend - AWS)

    USA, Texas, Dallas

    • $155,000 to $185,000 USD
    • Engineer Stelle
    • Fähigkeiten: Amazon Web Services, AWS, Lambda, Node.js
    • Seniority: Senior

    Jobbeschreibung

    A leading US technology company is building a new event-driven platform powered by serverless AWS services and applied AI. The team operates in a fast-paced, start-up style environment and is expanding its engineering group to accelerate green-field product development.

    As a Senior Back-End Engineer you will design, implement and operate Node.js workloads running in AWS Lambda behind API Gateway. You will modernize legacy endpoints, create new APIs, and embed AI capabilities such as LLM-driven features into production systems. Daily work includes writing infrastructure as code, optimizing cold-start performance, managing data in DynamoDB and PostgreSQL, and owning the full service lifecycle from code to monitoring. You will collaborate with a hands-on technical leadership team and influence architecture choices across multiple agile pods.

    Technical requirements

    * Deep competence with Node.js for back-end development.
    * Production experience deploying and operating AWS Lambda functions and Amazon API Gateway integrations.
    * Proficiency with serverless design patterns, event buses, and infrastructure-as-code tools such as AWS SAM, CDK, or Terraform.
    * Knowledge of data stores suitable for serverless workloads, especially DynamoDB and PostgreSQL.
    * Hands-on work integrating AI or machine-learning services into live applications and a strong interest in advancing those capabilities.
    * Ability to optimize performance, security, observability, and cost in a serverless environment.

    Data Analyst

    USA, Texas, Dallas

    • $80,000 to $135,000 USD
    • Data Science Stelle
    • Fähigkeiten: MS Power BI, Python, SQL, Tableau
    • Seniority: Mid-level

    Jobbeschreibung

    Position Title: Data Analyst

    Job Overview:

    The Data Analyst will support data analysis and reporting efforts, handling everything from data acquisition to generating insights. This role involves working with technical teams to extract and analyse data from the company's central repository using advanced reporting tools. The Analyst will provide actionable insights and recommendations that help inform decision-making processes across the organization.

    Key Responsibilities:

    * Data Analysis & Reporting: Analyse organizational performance and trends, identifying significant patterns, outliers, and factors that impact outcomes.

    * Insight Generation: Investigate data to reveal patterns and behaviours that can inform business decisions and improve overall performance.

    * Strategic Recommendations: Provide recommendations based on analysis to assist leadership with both strategic and operational decisions.

    * Reporting & Presentations: Prepare and present reports to key stakeholders, helping guide data-driven decision-making.

    * Validation Studies: Conduct studies using external data sources to support the company's overall value proposition.

    * Data Strategy Development: Propose and implement strategies to enhance data management, accessibility, and reporting processes.

    * Technical Tools Usage: Leverage reporting tools such as MicroStrategy to generate in-depth reports and analyses from the data warehouse.

    * Flexible Role: This job description outlines the general responsibilities, but additional tasks may arise as needed.

    Qualifications:

    * Education: Bachelor's degree in Computer Science, Information Technology, or a related field (graduate degree preferred).

    * Experience: Typically requires 5+ years of experience in data analysis, with a strong background in handling large data sets and proficiency with tools such as SPSS, MS-SQL, PL/SQL, SQL, Access, or Python.

    * Experience with data visualisation and reporting tools like Power BI, MicroStrategy, or Tableau is essential.

    * Ability to independently manage tasks and offer support to junior team members when needed.

    * Strong project management and presentation skills are crucial.

    Skills & Competencies:

    * Demonstrates core values such as attention to detail, initiative, and adaptability.

    * Strong problem-solving abilities, with a logical approach to analysing data and providing solutions.

    * Excellent communication and interpersonal skills, able to present data clearly and professionally.

    * Capacity to handle confidential information, ensuring compliance with policies and regulations.

    * Advanced proficiency in Microsoft Office and other related software.

    * In-depth experience working with database tools and providing technical recommendations to streamline processes.

    * Flexible and adaptable to changing priorities, with the ability to meet deadlines in a fast-paced environment.

    Data Engineer

    USA, Texas, Dallas

    • $80,000 to $135,000 USD
    • Engineer Stelle
    • Fähigkeiten: AWS, SQL, Apache Airflow, Azure, python, spark
    • Seniority: Mid-level

    Jobbeschreibung

    Position Title: Data Engineer

    Job Overview:

    We're looking for a versatile and proactive Data Engineer to join our growing team. This role involves designing, building, and maintaining scalable data pipelines and infrastructure that power analytics and reporting across the organization. You'll work closely with technical and non-technical stakeholders to move data efficiently, ensure system reliability, and support our long-term data strategy. The ideal candidate is agile, collaborative, and able to think critically through technical challenges in a fast-evolving environment.

    Key Responsibilities:

    * Pipeline Development & Maintenance: Build and maintain reliable, scalable ETL/ELT pipelines to support analytics, operations, and reporting.

    * Data Infrastructure: Design and optimize data architecture across cloud and on-prem systems, enabling efficient data access and storage.

    * Collaboration: Work cross-functionally with analysts, data scientists, and product teams to deliver high-quality data solutions.

    * Performance & Scalability: Monitor and improve system performance, supporting infrastructure that's built for growth.

    * Versatility in Execution: Own end-to-end data workflows, from ingestion to transformation to delivery-no silos here.

    * Data Governance & Quality: Ensure data accuracy, lineage, and security, maintaining compliance with internal and external standards.

    * Problem Solving: Tackle evolving technical challenges using a tech-agnostic mindset-emphasizing clarity, quality, and collaboration.

    * Team Contribution: While independent and self-directed, you'll be part of a small, dynamic team where your voice matters and your initiative shapes outcomes.

    Qualifications:

    * Education: Bachelor's degree in Computer Science, Engineering, or a related field (graduate degree a plus).

    * Experience: Experience in data engineering, working across ingestion, transformation, and storage layers.

    * Proven experience with SQL and at least one major language or platform (e.g., Python, Scala, Spark, Snowflake, AWS, etc.).

    * Comfortable working in an evolving tech environment-open to learning and adapting as tools and priorities shift.

    * Strong understanding of database systems, data modeling, and cloud architecture.

    * Familiarity with orchestration tools (e.g., Airflow, dbt, or similar).

    * Bonus: experience working with reporting or BI tools like Power BI, Tableau, or MicroStrategy.

    Skills & Competencies:

    * Takes initiative and brings solutions, not just problems.

    * Strong analytical thinking and a pragmatic approach to building systems.

    * Excellent communication skills-able to explain complex processes clearly to both technical and non-technical audiences.

    * Collaborative and team-oriented, but capable of working independently when needed.

    * Detail-oriented, dependable, and eager to help shape a growing data function.

    * Demonstrates flexibility and professionalism, especially in high-paced, shifting environments