Experience (Years): Fresher:0-1 | Fresher-Mid:2-4 | Mid: 5-8
Mid-Senior: 9-11 | Senior: 12+ | Director: 15+
Mid-Senior: 9-11 | Senior: 12+ | Director: 15+
- Data Scientist/Data Modeling (Data-Scientist-US-241151)
- Data Scientist - Entity Resolution (Data-Scientist-US-241152)
- Data Scientist (Data-Scientist-US-241153)
- Data Scientist / Data Engineer (Data-Scientist-US-241154)
- Data Scientist (Data-Scientist-US-241155)
Title: Data Scientist/Data Modeling
Job Code: Data-Scientist-US-241151
Location: Hybrid
Experience: Mid-Senior Level
Date Posted: 2024-10-30
Valid Through: 2024-11-29
Apply: Job Application Form
Job Description:
Job Code: Data-Scientist-US-241151
Location: Hybrid
Experience: Mid-Senior Level
Date Posted: 2024-10-30
Valid Through: 2024-11-29
Apply: Job Application Form
Job Description:
Job Description:
As an Enterprise Data Modeling Team Data Scientist on our team, you will focus on extracting knowledge and insights from both structured and unstructured data in various forms. The candidate will generate reports that summarize analysis of data representations to provide data-driven insights to customers. The qualified candidate will partner with subject matter experts to translate manual data analysis into automated analytics.
This position requires Nine (9) years of experience in Mathematics/Statistics, Computer Science, and analysis of data syntax and semantics with a Bachelor’s degree from an accredited college or university in Computer Science, Mathematics, or related discipline. OR Ten (10) years of experience without a degree. OR Six (6) years of experience with a Master’s degree. OR Three (3) years of experience with a PhD.
As an Enterprise Data Modeling Team Data Scientist on our team, you will focus on extracting knowledge and insights from both structured and unstructured data in various forms. The candidate will generate reports that summarize analysis of data representations to provide data-driven insights to customers. The qualified candidate will partner with subject matter experts to translate manual data analysis into automated analytics.
This position requires Nine (9) years of experience in Mathematics/Statistics, Computer Science, and analysis of data syntax and semantics with a Bachelor’s degree from an accredited college or university in Computer Science, Mathematics, or related discipline. OR Ten (10) years of experience without a degree. OR Six (6) years of experience with a Master’s degree. OR Three (3) years of experience with a PhD.
Title: Data Scientist - Entity Resolution
Job Code: Data-Scientist-US-241152
Location: Hybrid
Experience: Mid Level
Date Posted: 2024-10-29
Valid Through: 2024-11-26
Apply: Job Application Form
Job Description:
Job Code: Data-Scientist-US-241152
Location: Hybrid
Experience: Mid Level
Date Posted: 2024-10-29
Valid Through: 2024-11-26
Apply: Job Application Form
Job Description:
Job Description:
Top Secret
Top Secret
- Leverage experience and expertise in data exploration, and engineering, to explore, architect, develop, and Deploy application for processing structured and unstructured data into usable data formats for long term storage, search, and analysis. The right candidate will be part of developing cutting edge Entity Resolution applications.
- Eight (8) years of experience with languages such as Java, Scala or Python, used in support of development and production operations
- Experience with Bayesian Statistics
- Experience in data management processing:
- Data analysis, normalization, transliteration
- Statistical methods such as Latent Semantic Hashing and Gibbs Sampling
- Knowledge of graph analytics is a plus
- Experience with AWS
- A current Top Secret security clearance with SCI eligibility and the ability to obtain a polygraph.
- Be able to differentiate what is Deduplication, Canonicalisation and Record Lineage
- Knowledge of language translation experience
- Understand importance graph algorithms such as connected components
- Experience with search tools - Solr or Elastic Search
- Knowledge of distributed computing is a must - Apache Spark stack
- Have worked in an Agile environment.
- You have worked on teams that practice Agile methodologies.
Title: Data Scientist
Job Code: Data-Scientist-US-241153
Location: Hybrid
Experience: Mid Level
Date Posted: 2024-10-28
Valid Through: 2024-11-30
Apply: Job Application Form
Job Description:
Job Code: Data-Scientist-US-241153
Location: Hybrid
Experience: Mid Level
Date Posted: 2024-10-28
Valid Through: 2024-11-30
Apply: Job Application Form
Job Description:
Job Description:
Mindpoint Group, LLC has an exciting opportunity to join our SOC team at one of our largest clients. This position is critical to the continued maturation of the client-s operational capabilities, and you will join an established and experienced group that is motivated to provide excellent services in defending federal infrastructure. We are seeking a Data Analyst to help our SOC team discover actionable insights from large data sets and make better decisions on our mission to detect and respond to threats more quickly and efficiently.
What You Get To Do Every Day:
Mindpoint Group, LLC has an exciting opportunity to join our SOC team at one of our largest clients. This position is critical to the continued maturation of the client-s operational capabilities, and you will join an established and experienced group that is motivated to provide excellent services in defending federal infrastructure. We are seeking a Data Analyst to help our SOC team discover actionable insights from large data sets and make better decisions on our mission to detect and respond to threats more quickly and efficiently.
What You Get To Do Every Day:
- Lead ongoing research to identify, recommend, and implement new concepts in security operations center (SOC) operational analytics and organizational performance management.
- Identify and evaluate data sources to support the SOC data analytics function and recommend the implementation of new data collection instruments to support the program-s continuous improvement.
- Implement automated data collection and aggregation from a variety of sources, such as Security Information and Event Management (SIEM) tools, case management and ticketing tools, and other in-house databases.
- Conduct analysis of SOC operation using a variety of statistical methods, such as queuing theory, probability theory, linear programming, and monte carlo analysis or other simulation techniques.
- Transform raw data and analysis into data visualizations and interactive dashboards using dashboard tools.
- Derive insights from data analysis, conduct root-cause analysis of operational issues identified by the data, and provide recommendations to remediate operational issues.
- Deliver presentations and briefings to federal senior executives, SOC management, and SOC team leads.
- Provide training on the use of interactive, self-service dashboards to senior executives, SOC management, and SOC team leads.
- Develop documentation on the requirements for analytics work products, data models, and the process for testing and distributing work products.
- Work as part of a multi-disciplinary team in a fast-paced, solutions-oriented environment focused on client deliverables and analysis
- Active Secret Clearance required
- Bachelor's degree or higher in Electrical Engineering, Computer Science, Data Science, or Statistics; or equivalent combination of education and experience
- Minimum eight (8) years of general experience and six (6) years of relevant experience delivering large projects with significant impact on multiple lines of business, requiring cross-team collaboration.
- Experience working in a Lean-Agile environment.
- Hands-on experience with current Business Intelligence tools like MS PowerBI or Tableau.
- Hands-on experience with Python programming and using open-source libraries.
- Strong analytical skills with the ability to analyze data and identify trends.
- Experience driving/supporting multiple projects simultaneously.
- Ability to connect business outcomes with operational and technological considerations.
- Highly organized with critical thinking abilities at both the strategic and tactical levels.
- Ability to communicate clearly (written and verbal) and navigate at all levels in the organization with detail appropriate to the forum and audience.
- Excellent facilitation/presentation skills, and experience with briefing senior leadership.
- Proficient in Microsoft Office (Word, Excel, PowerPoint, Visio, and MS Project).
- Experience with Linux, IP networks, APIs, SQL/NoSQL Databases, and query tools to retrieve data from internal and external systems.
- Experience in managing large transformational data-driven projects in the cybersecurity space.
- Ability to understand, interpret and track meaningful security operations center metrics
- Experience with Splunk, Spark, and Hadoop is a plus.
- Real-time algorithm development and implementation (responding to changing inputs in seconds).
- Six sigma certification and/or operational excellence experience.
- Experience with a range of data analysis techniques: linear regression, random forest, clustering, NLP techniques, supervised and unsupervised learning, graph algorithms, etc.
Title: Data Scientist / Data Engineer
Job Code: Data-Scientist-US-241154
Location: Hybrid
Experience: Senior Level
Date Posted: 2024-10-30
Valid Through: 2024-11-28
Apply: Job Application Form
Job Description:
Job Code: Data-Scientist-US-241154
Location: Hybrid
Experience: Senior Level
Date Posted: 2024-10-30
Valid Through: 2024-11-28
Apply: Job Application Form
Job Description:
Description:
Lead Analytics Engineer - Remote Our team provides Analytic Application development and support, Business Intelligence Solutions, Custom Reporting, and Consulting for Client Payment Integrity. We provide data analytic development services that identify overpayments or recoveries for Data Mining, Coordination of Benefits (COB), Fraud Waste Abuse and Error (FWAE), and Subrogation. This position will develop new analytics, enhance existing analytics, and maintain and improve the applications that support these analytics using bigdata tools, Azure, Pyspark, SCALA technology stack.
Responsibilities:
Required Skills:
Lead Analytics Engineer - Remote Our team provides Analytic Application development and support, Business Intelligence Solutions, Custom Reporting, and Consulting for Client Payment Integrity. We provide data analytic development services that identify overpayments or recoveries for Data Mining, Coordination of Benefits (COB), Fraud Waste Abuse and Error (FWAE), and Subrogation. This position will develop new analytics, enhance existing analytics, and maintain and improve the applications that support these analytics using bigdata tools, Azure, Pyspark, SCALA technology stack.
Responsibilities:
- Design, code, test, document, and maintain high-quality and scalable Big Data, Cloud solutions
- Design, develop and implement analytics rules engines
- Research, evaluate, and deploy new tools, frameworks, and patterns to build sustainable Big Data platform
- Identify gaps and opportunities for improvement of existing solutions
- Define and develop APIs for integration with various data sources in the enterprise
- Analyze and define customer requirements
- Assist in defining product technical architecture
- Make accurate development effort estimates to assist management in project and resource planning
- Create prototypes, proof-of-concepts & design and code reviews
- Collaborate with management, quality assurance, architecture, and other development teams
- Write technical documentation and participate in production support
- Keep skills up to date through ongoing self-directed training
Required Skills:
- Bachelor’s degree
- 12+ years of IT-related work experience
- 8+ years’ experience in hands-on software development
- 3+ years’ experience in development using SCALA Spark or Pyspark
- 3+ years’ experience in Azure cloud platform
- 2+ years’ in Bigdata tools, like Hadoop, MapReduce, HDFS, Spark, Kafka Streaming, Docker, and/or Kubernetes
- 2+ years’ experience in MySQL and NoSQL databases, Deltalake, Snowflake
- 2+ years’ experience with Agile/Scrum methodology and best practices
- 1+ years’ experience in scheduling tools, such as ADF/Airflow
- Data analysis experience
- Functional testing experience
- Healthcare industry experience
- Understanding of SOA (service-oriented architecture) concepts
- Excellent analysis, process, problem solving and critical thinking skills
Title: Data Scientist
Job Code: Data-Scientist-US-241155
Location: Hybrid
Experience: Mid Level
Date Posted: 2024-10-31
Valid Through: 2024-11-27
Apply: Job Application Form
Job Description:
Job Code: Data-Scientist-US-241155
Location: Hybrid
Experience: Mid Level
Date Posted: 2024-10-31
Valid Through: 2024-11-27
Apply: Job Application Form
Job Description:
Requirements:
What skills you need:
What Your DNA Looks Like:
What skills you need:
- Master’s Degree in Mathematics, Statistics, Economics or other quantitative discipline
- 8-10 years of prior research, data science, or analytical modeling experience in the aforementioned
- statistical and technical tools for analysis (R, Python, SQL, SAS, Cognos, etc.)
- automated machine learning tools (Matplotlib, RapidMiner, DataRobot)
- retail banking or transaction processing industries
- risk analytics, pricing, risk modeling
- pattern recognition or machine learning
- data mining, manipulation, analysis, charting and other visualization and reporting tools
- large data sets, working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)
- manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources including normalized & de-normalized data
- demonstrating a strong passion for empirical research and for answering hard questions with data
- taking a flexible analytic approach that allows for results at varying levels of precision
- can communicate complex quantitative analysis in a clear, precise, and actionable manner to nontechnical stakeholders
What Your DNA Looks Like:
- Passion to win: Thrives in a competitive environment, does what it takes to be THE market leader
- Communicative: Must have strong interpersonal skills and the ability to effectively present and explain information to internal and external clients
- Resourceful: Resourceful, figure-it-out-and-get-it-done mentality. Ability to work independently in a team environment and help resolve any impasses during a project
- Organized: Must be able to prioritize daily, weekly and monthly tasks and possess a "sense of urgency"