Indev
YOUR FUTURE DUTIES AND RESPONSIBILITIES
Data Modeling & Analytics : Develop predictive and prescriptive models using statistical, machine learning, and deep learning methods. Perform exploratory data analysis to uncover patterns and insights from large, complex datasets. Elastic Stack Development : Design and implement scalable data pipelines using Elasticsearch, Logstash, and Beats. Build advanced queries, aggregations, and dashboards in Kibana for business and technical stakeholders. Optimize Elasticsearch clusters for performance, scalability, and resilience. Business Intelligence & Visualization : Translate technical findings into clear, actionable insights. Create real-time dashboards and monitoring solutions using Kibana and integrated visualization tools. Cloud Technology Utilization and Automation : Leverage AWS Cloud services (e.g., S3, EC2, RDS, Lambda) for data processing, storage, and retrieval. Guide and support cloud modernization of data processes. Use the Microsoft Power Platform, including Power Automate, to automate workflows and processes. Collaboration & Communication : Work closely with engineers, analysts, and business leaders to understand requirements and deliver effective solutions. Contribute to data governance, documentation, and best practices for analytics and Elastic platform use. QUALIFICATIONS
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field. 5+ years of experience as a Data Scientist, Data Analyst, or Data Engineer with proven Elastic software expertise Proficiency in Elastic Stack (Elasticsearch, Kibana, Logstash, Beats). Strong programming skills in Python, R, or Java (with experience using libraries such as Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, or PyTorch). Knowledge of SQL and NoSQL databases. Familiarity with LLMs, GPTs, prompting, and other language model technologies. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) preferred. Strong problem-solving and analytical thinking. Ability to communicate complex findings to non-technical audiences. Collaborative mindset and comfort working in cross-functional teams. NICE TO HAVES
Relevant Certifications such as Elastic Certified Analyst, Microsoft AWS Certified Machine Learning, or similar Knowledge of containerization technologies (Docker, Kubernetes). Power Platform experience including Power Automate, Power BI, and Power Apps UiPath experience. Tableau visualization and data analytics experience Prior experience supporting mission-critical federal environments. Clearance:
Must be a U.S. Citizen and hold an active DHS Public Trust, preferably TSA. ABOUT US At InDev, we’re not just a company; we’re a trailblazing force transforming the way data shapes the future. As a dynamic player in the federal government sector, we’re on a mission to empower agencies with cutting-edge data solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us. WHY INDEV Innovative Environment:
Join a team that thrives on creativity and innovation, where your ideas are not only heard but encouraged. Meaningful Impact:
Contribute to projects that directly impact federal agencies, driving positive change on a national scale. Dynamic Collaboration:
Work alongside diverse experts who are passionate about pushing boundaries and making a difference. Agile Mindset:
Embrace Agile methodologies that encourage flexibility, adaptability, and rapid growth. Learning Culture:
Enjoy ongoing learning opportunities and professional development to expand your skill set. Cutting-edge Tech:
Engage with the latest technologies and tools in the data integration landscape. If you’re ready to embark on a journey of innovation, collaboration, and impact, InDev welcomes you to join our team. Let’s shape the future together.
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Data Modeling & Analytics : Develop predictive and prescriptive models using statistical, machine learning, and deep learning methods. Perform exploratory data analysis to uncover patterns and insights from large, complex datasets. Elastic Stack Development : Design and implement scalable data pipelines using Elasticsearch, Logstash, and Beats. Build advanced queries, aggregations, and dashboards in Kibana for business and technical stakeholders. Optimize Elasticsearch clusters for performance, scalability, and resilience. Business Intelligence & Visualization : Translate technical findings into clear, actionable insights. Create real-time dashboards and monitoring solutions using Kibana and integrated visualization tools. Cloud Technology Utilization and Automation : Leverage AWS Cloud services (e.g., S3, EC2, RDS, Lambda) for data processing, storage, and retrieval. Guide and support cloud modernization of data processes. Use the Microsoft Power Platform, including Power Automate, to automate workflows and processes. Collaboration & Communication : Work closely with engineers, analysts, and business leaders to understand requirements and deliver effective solutions. Contribute to data governance, documentation, and best practices for analytics and Elastic platform use. QUALIFICATIONS
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field. 5+ years of experience as a Data Scientist, Data Analyst, or Data Engineer with proven Elastic software expertise Proficiency in Elastic Stack (Elasticsearch, Kibana, Logstash, Beats). Strong programming skills in Python, R, or Java (with experience using libraries such as Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, or PyTorch). Knowledge of SQL and NoSQL databases. Familiarity with LLMs, GPTs, prompting, and other language model technologies. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) preferred. Strong problem-solving and analytical thinking. Ability to communicate complex findings to non-technical audiences. Collaborative mindset and comfort working in cross-functional teams. NICE TO HAVES
Relevant Certifications such as Elastic Certified Analyst, Microsoft AWS Certified Machine Learning, or similar Knowledge of containerization technologies (Docker, Kubernetes). Power Platform experience including Power Automate, Power BI, and Power Apps UiPath experience. Tableau visualization and data analytics experience Prior experience supporting mission-critical federal environments. Clearance:
Must be a U.S. Citizen and hold an active DHS Public Trust, preferably TSA. ABOUT US At InDev, we’re not just a company; we’re a trailblazing force transforming the way data shapes the future. As a dynamic player in the federal government sector, we’re on a mission to empower agencies with cutting-edge data solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us. WHY INDEV Innovative Environment:
Join a team that thrives on creativity and innovation, where your ideas are not only heard but encouraged. Meaningful Impact:
Contribute to projects that directly impact federal agencies, driving positive change on a national scale. Dynamic Collaboration:
Work alongside diverse experts who are passionate about pushing boundaries and making a difference. Agile Mindset:
Embrace Agile methodologies that encourage flexibility, adaptability, and rapid growth. Learning Culture:
Enjoy ongoing learning opportunities and professional development to expand your skill set. Cutting-edge Tech:
Engage with the latest technologies and tools in the data integration landscape. If you’re ready to embark on a journey of innovation, collaboration, and impact, InDev welcomes you to join our team. Let’s shape the future together.
#J-18808-Ljbffr