10,202 Data Science Intern jobs in the United States
Data Science
Posted 3 days ago
Job Viewed
Job Description
Profound is an NYC-based AI startup helping brands measure and improve their visibility in AI platforms such as ChatGPT. We partner with some of the biggest brands and marketing agencies, including companies like MongoDB, Indeed, Mercury, DocuSign, Zapier, Ramp, Rho, Golin, Workable, Mejuri, Eight Sleep, G2, US Bank, Chime, and Clay.
We recently raised a $35 million Series B funding round led by Sequoia Capital, with continued backing from venture capital firms Kleiner Perkins, Khosla Ventures, Saga VC, and South Park Commons, as well as angel investors including Guillermo Rauch (Vercel) and Andrew Karam (Applovin).
Learn more at tryprofound.com.
Profound is on a mission to help companies understand and control their AI presence. As a Data Scientist , you'll map every human-AI interaction to help brands turn AIs into their strongest advocates. You'll build predictive models, develop sampling techniques, and optimize brand visibility in AI-driven search (e.g., ChatGPT, Perplexity). Your work will directly impact how businesses shape their presence in the generative AI era.
What You'll Do
- Develop and refine predictive models to analyze and forecast AI-driven search behavior.
- Design sampling and data classification techniques to improve AI-driven brand insights.
- Leverage LLMs/NLP to extract meaningful insights from unstructured text data.
- Work with large datasets, ensuring efficiency in querying, cleaning, and classification.
- Design and conduct A/B tests or other experimentation frameworks to measure impact.
- Collaborate with the founding team to turn complex data insights into actionable business strategies.
- 3+ years of advanced analytics experience in technology, marketing, or advertising.
- Proficient in Python, R, and SQL, with hands-on experience querying and analyzing large datasets.
- Expertise in data sampling techniques, including stratified sampling, bootstrapping, and extrapolation.
- Strong background in predictive modeling and applying ML techniques to estimate event frequency.
- Deep understanding of Large Language Models (LLMs), their limitations, and real-world applications.
- Passionate about staying on top of AI research, especially in multi-modal AI and LLM advancements.
- Comfortable in a fast-moving, high-performance startup environment.
This is an on-site role in our Union Square office-designed for builders who thrive on speed, iteration, and impact.
Data Science
Posted 5 days ago
Job Viewed
Job Description
Job Description
Job Title: Data Scientist – Machine Learning, Big Data, GenAI (8–10 Years Experience)
Location: Remote | Employment Type: Contract
About the Role
We are seeking a highly experienced Data Scientist with 8–10 years of expertise in delivering production-grade AI/ML solutions at scale. This role requires deep technical proficiency in Machine Learning , Big Data , Generative AI (GenAI) , and Large Language Models (LLMs) , combined with hands-on cloud experience (AWS, Azure, or GCP) and expertise in data platform migration . You will lead end-to-end projects, from architecture design to deployment, while mentoring teams, optimizing performance, and aligning solutions with business objectives.
Key Responsibilities
-
Design, develop, and deploy end-to-end AI/ML solutions in cloud-native environments .
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Architect and implement Generative AI solutions leveraging LLMs (e.g., GPT, LLaMA, Claude, Mistral) and Retrieval-Augmented Generation (RAG) pipelines with vector search .
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Build and optimize Big Data pipelines using Apache Spark, PySpark , and Delta Lake integrated with cloud storage (AWS S3, Azure Data Lake, GCP Cloud Storage).
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Design and maintain scalable lakehouse architectures using Databricks , Snowflake , or Delta Lake .
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Deploy MLOps pipelines using MLflow , SageMaker , Azure ML , or Vertex AI with Docker , Kubernetes , and CI/CD tools (e.g., Jenkins, GitHub Actions).
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Implement and manage vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate, ChromaDB ) for RAG applications.
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Oversee ETL/ELT workflows using tools like Airflow , dbt , or Azure Data Factory .
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Lead cloud migration projects , including Hadoop-to-Databricks and Hive-to-Delta Lake transitions, ensuring minimal downtime and data integrity.
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Integrate real-time streaming data solutions using Apache Kafka .
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Conduct feature engineering , hyperparameter tuning , and model optimization to ensure scalability and performance .
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Mentor junior data scientists and guide best practices for AI/ML development and deployment.
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Collaborate closely with product , engineering , and executive teams to align AI solutions with business KPIs and compliance requirements .
Required Skills & Experience
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8–10 years of experience in data science , machine learning , and AI/ML solution delivery .
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Strong hands-on expertise in at least one major cloud platform ( AWS , Azure , or GCP ), with proven production deployments .
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Expertise in Python , PySpark , and SQL for building scalable ML pipelines.
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Proven experience with Apache Spark , Hadoop , and Big Data processing .
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Hands-on experience with Generative AI frameworks, including Hugging Face , LangChain , or LlamaIndex .
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Deep expertise in RAG architectures and vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate ).
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Experience in deploying MLOps workflows using MLflow , Docker , Kubernetes , and CI/CD tools (e.g., GitLab CI , GitHub Actions ).
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Proven migration experience , including AI/ML workloads and Big Data platform migrations (e.g., Hadoop to Databricks , Hive to Delta Lake ).
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Familiarity with cloud storage solutions ( AWS S3 , Redshift , Azure Synapse , GCP BigQuery ) and infrastructure-as-code (e.g., Terraform , CloudFormation , ARM templates ).
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Experience with streaming data technologies (e.g., Apache Kafka ) and distributed query engines (e.g., Hive , Presto , Trino ).
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Strong foundation in statistics , probability , and ML algorithms for model optimization.
Preferred Qualifications
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Experience with knowledge graphs and semantic search .
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Background in NLP , transformer architectures , and deep learning frameworks (e.g., TensorFlow , PyTorch ).
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Exposure to BI tools (e.g., Power BI , Tableau , Looker ).
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Domain expertise in finance , healthcare , or e-commerce .
Data Science
Posted 14 days ago
Job Viewed
Job Description
Duration-Contract
Location- Urbana, MD
JD
• Minimum 7 years of IT Experience• Minimum 2 years of experience in developing AI enabled solutions• Expert level competency in Python• Hands-on experience developing and deploying Machine Learning solutions• Good knowledge and experience in developing GenAI embedded solutions• Hands-on experience with AI cloud services is an added advantage Key Responsibilities:• Machine Learning based model building, validation, deployment, and monitoring• Developing MLOps solution for continuous development , deployment, and monitoring of solutions• Developing GenAI embedded solutions across various use cases• Rapid experimentation of GenAI use cases using Azure cloud AI and data services• Development and deployment of GenAI embedded solutions using open source solutions
Regards,
Pallavi Verm
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:
We're hiring! connect with us on LinkedIn nd visit our Jobs Portal
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to unsubscribe .
Data Science
Posted 21 days ago
Job Viewed
Job Description
Duration-Contract
Location- Austin, TX~ Sunnyvale, CA
Jd
1. Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP), LLM.
2. Extensive experience in TIME SERIES.
3. Extensive experience on Natural Language Processing (NLP) libraries such as Spacy, NLTK, flair, and sklearn-crfsuite.
4. Strong background in DNN, CNN, RNN(LSTM), GAN, and libraries to deploy these models, such as Sklearn, Keras, Pandas, and TensorFlow.
5. Experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems, and generating data visualizations using R, Python.
6. Experience with common data science toolkits and libraries, such as Pandas, NumPy, SciPy, Scikit-learn.
7. Experience with data exploration to find actionable insights and make Product Recommendations through Funnel Analyses, A/B testing, Churn analysis, User Segmentation, Retention Rate, and business KPIs.
Data Science, Python, TIME SERIES, NLP, LLM
Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:
We're hiring! connect with us on LinkedIn nd visit our Jobs Portal
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to unsubscribe .
Data Science
Posted 21 days ago
Job Viewed
Job Description
Data Science
Bentonville, AR - Initially Remote
We're looking for an incredible Senior Data Scientist with Machine Learning Ex. AND DEPLOYMENT OF PYTHON WORKFLOWS.
*Team Supports:
What you'll do: Int'l merchandising. anything that goes on the shelf. and forecasting.
*In charge of last mile and middle mile delivery.
Issues: Lack of ML Engineers. Data scientist on his team do not know how to build API's
- Involve in extensive research and problem solving that spans a number of areas including computer vision, machine learning, image processing and distributed computing Research and development of computer vision and machine learning algorithms for object detection, recognition,segmentation, and tracking Actively attend premier conferences and events in the community Design, implement and deliver computer vision software systems to facilitate retail business Build scalable solutions to some of the challenging recognitionproblems in computer vision and continuously improve performance of existing algorithms.
- Drive the design and development of computer vision algorithm and software applications implemented on cloud or edge infrastructures.
- Maintain substantial knowledge of state-of-the-art principles and theories related to computer vision.
- Serve as technical lead in vision area and work closely with other data scientists, software engineers, product managers and operations to create high quality and highly performing solutions.
Data Science
Posted 21 days ago
Job Viewed
Job Description
Data Science
Job Locations
US-AZ-Fort Huachuca
Requisition ID
2025-156937
Position Category
Cyber Security
Clearance
Top Secret/SCI
Responsibilities
Secure Division Support. The GCC provides CSSP responsibilities and conducts DODIN Operations and DCO - Internal Defensive Measures (IDM) to protect the DODIN IAW the DoDM 8530.01 and the DoD Cybersecurity Services Evaluator Scoring Metrics (ESM). These responsibilities are broken into five (5) CSSP functions; Identify, Protect, Detect, Respond, and Recover. GCC is responsible to conduct these functions for its assigned portion of the DODIN for both unclassified and classified networks/ systems. The division provides support services for the protection, monitoring, analysis, detection, and response to unauthorized activity within the DoD Information Systems and Networks. DCO-IDM services are required to defend against unauthorized activity on all Army assets residing on the NIPRNet and SIPRNet. The division provides defensive measures to protect and defend information, computers, and networks from disruption, denial, degradation, or destruction. The division provides sensor management and event analysis and response for network and host-based events. For sensor management, the division provides management of in-line Network Intrusion Protection System/Network Intrusion Detection System (NIPS/NIDS) sensors monitoring all CONUS DoDIN-A NIPRNet and SIPRNet Enterprise traffic to detect sensor outages and activities that attempt to compromise the confidentiality, integrity, or availability of the network. In coordination with GCC Operations, DCO initiates defensive security procedures upon detection of these attacks. Event analysis and response includes the processes involved with reducing multiple cyber incidents to actual malicious threat determinations and mitigating those threats IAW guidance received from GCC Government leadership. Support the Government in providing services for CSSP services on both the NIPRNet and SIPRNet IAW Appendix E: Secure Division Workload Assessment in support of the CONUS portion of the DoDIN-A. Develop reports and products, both current and long-term, in support of CSSP and course of action development. Prepare Tactics, Techniques, and Procedures (TTP), SOPs, Executive Summary (EXSUMS), trip reports, and information/point papers. Contribute during the preparation of agreements, policy, and guidance documentation such as Memorandums of Understanding / Agreement (MOU/A), Service Level Agreements (SLA).
* Defensive Cyber Infrastructure (DCI) Support. Perform the following DCI functions:
* Develop and distribute content provided by security platform vendors at least weekly and as needed.
* Develop and distribute in-house content based on tippers from higher organizations and the Threat Hunt team.
* Provide content development and distribution to tactical edge customers and develop TTPs for doing so.
* Consolidate different data sources into a single view used to assess the status of a specific threat on the network.
* Develop and/or maintain dashboards displaying specific CSSP items of interest (i.e. top 10 attackers, top 10 destinations, top attack vector, etc.) and all active cyber incidents, in near real time, within each respective AOR.
* Maintain, update, test, and implement signatures and policies for each sensor managed by GCC.
* Changes must be approved through the established ITIL process.
* Develop signatures and policies that include both network- and host-based sensors.
* Update as necessary to minimize false positives and validate for proper syntax.
* Conduct all development and testing on isolated networks.
* Document and conduct testing activity with plan procedures, results, and operational procedures as signatures are developed and/or updated.
* Update and validate plan at least annually. A signature test plan shall be developed.
Basic Qualifications:
- 8 years with BS/BA; 6 years with MS/MA; 3 years with PhD
- Certifications: DCWF Code 521 Advanced: Certified Information Systems Security Professional (CISSP) or GIAC Certified Intrusion Analyst (GCIA) or GIAC Cloud Security Essentials (GCLD) or GIAC Defensible Security Architecture (GDSA) or GIAC Global Industrial Cyber Security Professional (GICSP) or GIAC Security Essentials Certification (GSEC) or Information Systems Security Architecture Professional (ISSAP) or Information Systems Security Engineering Professional (ISSEP)
- Active TS/SCI Clearance
- Ability to conduct vulnerability assessments and monitor networks to support test and operational environment requirements.
- Solid understanding of data transport, encryption, networking, IT systems, and cybersecurity fundamentals.
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range$66,000 - $106,000. This represents the typical salary range for this position based on experience and other factors.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
Data Science
Posted 21 days ago
Job Viewed
Job Description
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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Data Science
Posted 21 days ago
Job Viewed
Job Description
Duration-Contract
Location- Cupertino, CA
JD
- Data Scientist with strong Statistical Fundamentals learning Python with Pandas and NumPy Experience Strong Visualization
- Experience Strong understanding of Data Science Cycle OOP
- Python with Scientific and mathematical Experience and state Experience Need
- Digital : Data Visualization, Python for Data Science, Object Oriented Programming, Statistics & Analytics
Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:
We're hiring! connect with us on LinkedIn nd visit our Jobs Portal
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to unsubscribe .
Data Science & Machine Learning Engineer
Posted 14 days ago
Job Viewed
Job Description
Valiant Solutions is seeking a Data Science & Machine Learning Engineer to join our rapidly growing and innovative cybersecurity team!
This is your opportunity to join a team of Engineers managing a large Cybersecurity big data platform to detect threats and protect critical government systems. As a Data Science and Machine Learning (DSML) Engineer, you will work with a petabyte-scale data lake in an Elasticsearch-based big data environment to build machine learning models and rules, analyze data, and build a visualization to detect security anomalies. You’ll join an existing security development team with our large government client and will work hands-on in developing code and using GUI-based tools to analyze and visualize data. This is an exciting position helping us grow our clients’ capabilities to stay ahead of adversaries.
The successful candidate will have experience with the theory behind Machine Learning and how it can be practically applied to Cybersecurity use cases. The successful candidate will have trained various machine learning models to support anomaly detection and will bring experience in preparing data feeds for Machine Learning. Additionally, the candidate will have experience analyzing data and building visualizations to provide a lens for anomaly detection and trend analysis.
Named one of the Best Places to Work in the Washington DC area for 11 consecutive years , Valiant is proud of our employee-centric culture and commitment to excellence. If you are interested in learning more about Valiant and this opportunity, we invite you to apply now!
This position allows for 100% remote work. Remote work necessitates a high-level trust in our employees and we strictly adhere to the details found below in our Remote Work Policy.
Qualifications:
- 5 years of experience in Data Science
- 2+ years of experience developing using Python
- Bachelor of Science in Computer Science, Information Technology, Network Engineering, Security Engineering, System Administration (or a related field) or three additional years of IT experience.
- Experience working with business intelligence tools such as PowerBI or Tableau
- Experience preferred with SIEM tools such as Elastic Stack or Splunk
- Experience preparing datasets for Machine Learning and generating ML models
- Strong mathematics skills (e.g., statistics, algebra)
- Experience with big data technologies such as Hadoop, Kafka, or Spark
- Advanced ability to perform exploratory data analysis
- Demonstrated knowledge of security concepts and best security practices is preferred
- Exceptional technical writing skills
- Ability to communicate complex data in a simple, actionable way
- Ability to visualize data in the most effective way possible for a given project
- Analytical and problem-solving skills
- Experience with machine learning and AI
- Familiarity with data management tools
- Excellent attention to detail
- Proven ability to meet deadlines and adapt quickly to changing and multiple priorities
- Energetic and forward-thinking with high ethical standards
- A team player, trustworthy, and willing to share information
Responsibilities:
- Lead analysis efforts in petabyte-scale clusters of security data
- Instruct agency leadership on machine learning program efforts and direction
- Prepare data streams for Machine Learning use cases, writing parsing logic, and indexing data as needed
- Developing custom Machine Learning models using AWS services (e.g. Sage Maker) or equivalent open-source tools, and developing ML rules using COTS products
- Developing data visualizations using a data visualization tool and learning new Kibana visualization capabilities such as Vega
- Collaborating with Cybersecurity analysts and other developers to solve threat monitoring problems and improve our client’s security posture
- Developing DSML strategy and procedure to detect anomalies in all layers of a large internet-facing application
- Developing and configuring anomaly alerting logic
- Participate in a rotating on-call schedule
About Valiant Solutions
Valiant Solutions is a security-focused IT solutions provider with public clients nationwide. Named one of the fastest growing privately held companies by Inc. 5000, Washington Technology’s Fast 50, and Washington Business Journal’s Best Places to Work in the D.C. area, Valiant Solutions prides itself on providing its employees with great benefits and career development opportunities. As a company, we are just as committed to growing careers as we are to building world-class IT solutions, all while enjoying an unparalleled work-life balance. We are in a phase of tremendous growth and building the team that will take us to the next level. We seek people whose talents and accomplishments will contribute to a thriving company, who have the character to support their capacity, and can make a positive impact on our culture. Alongside our talented team, you’ll learn to think quickly on your feet and expand your own personal and professional skill set. Our management team will inspire you to consider new perspectives and challenge you to become a better practitioner in the fast-paced industry of IT security. We hire people we respect – and we trust them to deliver results leveraging their expertise. If you would enjoy working in a dynamic environment as part of a stellar team of professionals, then we invite you to apply online today.
Benefits Snapshot (includes, but not limited to) Valiant pays 99% of the Medical, Dental, and Vision Coverage for Full-time EmployeesValiant contributes 25% towards Health Coverage for Family and Dependents100% Paid Short Term Disability and Life Insurance Policy for Full-time Employees100% Paid Certifications401K Matching up to 4%Paid Time OffPaid Federal Holidays Paid Time On – 40 hours to pursue innovationWellness & Fitness ProgramValiant University – Online Education and Training PortalReimbursement for Public Transit and ParkingFSA programs for: Medical Costs, Dependent Care, Transit, and ParkingReferral Bonuses
The salary range for this position is a general guideline and not a guarantee of compensation or salary. It has been benchmarked in relation to the scope of the role, market rate, and internal equity. The salary for this role is expected to be in the $140,000 - $155,000 range. Where a candidate falls within the band can be determined based on one or more of the following: skillset, experience level, achievements, education, geographic location, security clearance, involvement in corporate tasks, and other non-discriminatory factors. In addition to the base salary, this role will include benefits as described above. Valiant reserves the right to adjust the salary range, experience requirements, and position responsibilities at any time without prior notice.
Remote Work Policy
Remote work necessitates a high level of trust in our employees. To ensure that employee performance does not suffer in a remote work environment, all employees who telecommute are expected to have a quiet and distraction-free workspace with adequate internet, dedicate their full attention and availability to their job duties during working hours, and maintain a schedule during core business hours that align with those of their coworkers and Valiant's clients. In alignment with Valiant's inclusive and engaging environment, cameras are encouraged and can be required to be on during virtual video conferences. Additionally, in alignment with the Office of the Inspector General’s effort to eliminate conflicting employment, all Valiant employees are required to disclose any current or future outside employment engagements. During onboarding and throughout employment, employees must disclose any current activities or intent to engage in outside employment or other professional activities and obtain written approval. Employees may not solicit or conduct any outside business during core business hours for Valiant Solutions and our clients.
Equal Employment Opportunity
Valiant Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, marital status, or veteran status, in accordance with applicable law.
Physical Demands
Sitting or standing at a desk for prolonged periods of time and consistent operation of a computer. Frequent communication and exchanging of accurate information via electronic communication, phones, and in person. Occasionally lift and/or move moderate amounts of weight, typically less than 20 pounds. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.
Authorization to Share Resume and Personal Information
By submitting your resume for this position, you authorize Valiant Solutions to share your resume, as well as, personal information included on the resume, with its subsidiaries, affiliates and teaming partners for the purpose of considering you for this position and other available positions requiring comparable skills, education and experience. Should Valiant Solutions or its affiliates and teaming partners wish to initiate pre-employment discussions, you will be asked to complete an employment application and related employment documents.
#LI-JM1
Data Science & Machine Learning Engineer
Posted 14 days ago
Job Viewed
Job Description
Valiant Solutions is seeking a Data Science & Machine Learning Engineer to join our rapidly growing and innovative cybersecurity team!
This is your opportunity to join a team of Engineers managing a large Cybersecurity big data platform to detect threats and protect critical government systems. As a Data Science and Machine Learning (DSML) Engineer, you will work with a petabyte-scale data lake in an Elasticsearch-based big data environment to build machine learning models and rules, analyze data, and build a visualization to detect security anomalies. You’ll join an existing security development team with our large government client and will work hands-on in developing code and using GUI-based tools to analyze and visualize data. This is an exciting position helping us grow our clients’ capabilities to stay ahead of adversaries.
The successful candidate will have experience with the theory behind Machine Learning and how it can be practically applied to Cybersecurity use cases. The successful candidate will have trained various machine learning models to support anomaly detection and will bring experience in preparing data feeds for Machine Learning. Additionally, the candidate will have experience analyzing data and building visualizations to provide a lens for anomaly detection and trend analysis.
Named one of the Best Places to Work in the Washington DC area for 11 consecutive years , Valiant is proud of our employee-centric culture and commitment to excellence. If you are interested in learning more about Valiant and this opportunity, we invite you to apply now!
This position allows for 100% remote work. Remote work necessitates a high-level trust in our employees and we strictly adhere to the details found below in our Remote Work Policy.
Qualifications:
- 5 years of experience in Data Science
- 2+ years of experience developing using Python
- Bachelor of Science in Computer Science, Information Technology, Network Engineering, Security Engineering, System Administration (or a related field) or three additional years of IT experience.
- Experience working with business intelligence tools such as PowerBI or Tableau
- Experience preferred with SIEM tools such as Elastic Stack or Splunk
- Experience preparing datasets for Machine Learning and generating ML models
- Strong mathematics skills (e.g., statistics, algebra)
- Experience with big data technologies such as Hadoop, Kafka, or Spark
- Advanced ability to perform exploratory data analysis
- Demonstrated knowledge of security concepts and best security practices is preferred
- Exceptional technical writing skills
- Ability to communicate complex data in a simple, actionable way
- Ability to visualize data in the most effective way possible for a given project
- Analytical and problem-solving skills
- Experience with machine learning and AI
- Familiarity with data management tools
- Excellent attention to detail
- Proven ability to meet deadlines and adapt quickly to changing and multiple priorities
- Energetic and forward-thinking with high ethical standards
- A team player, trustworthy, and willing to share information
Responsibilities:
- Lead analysis efforts in petabyte-scale clusters of security data
- Instruct agency leadership on machine learning program efforts and direction
- Prepare data streams for Machine Learning use cases, writing parsing logic, and indexing data as needed
- Developing custom Machine Learning models using AWS services (e.g. Sage Maker) or equivalent open-source tools, and developing ML rules using COTS products
- Developing data visualizations using a data visualization tool and learning new Kibana visualization capabilities such as Vega
- Collaborating with Cybersecurity analysts and other developers to solve threat monitoring problems and improve our client’s security posture
- Developing DSML strategy and procedure to detect anomalies in all layers of a large internet-facing application
- Developing and configuring anomaly alerting logic
- Participate in a rotating on-call schedule
About Valiant Solutions
Valiant Solutions is a security-focused IT solutions provider with public clients nationwide. Named one of the fastest growing privately held companies by Inc. 5000, Washington Technology’s Fast 50, and Washington Business Journal’s Best Places to Work in the D.C. area, Valiant Solutions prides itself on providing its employees with great benefits and career development opportunities. As a company, we are just as committed to growing careers as we are to building world-class IT solutions, all while enjoying an unparalleled work-life balance. We are in a phase of tremendous growth and building the team that will take us to the next level. We seek people whose talents and accomplishments will contribute to a thriving company, who have the character to support their capacity, and can make a positive impact on our culture. Alongside our talented team, you’ll learn to think quickly on your feet and expand your own personal and professional skill set. Our management team will inspire you to consider new perspectives and challenge you to become a better practitioner in the fast-paced industry of IT security. We hire people we respect – and we trust them to deliver results leveraging their expertise. If you would enjoy working in a dynamic environment as part of a stellar team of professionals, then we invite you to apply online today.
Benefits Snapshot (includes, but not limited to) Valiant pays 99% of the Medical, Dental, and Vision Coverage for Full-time EmployeesValiant contributes 25% towards Health Coverage for Family and Dependents100% Paid Short Term Disability and Life Insurance Policy for Full-time Employees100% Paid Certifications401K Matching up to 4%Paid Time OffPaid Federal Holidays Paid Time On – 40 hours to pursue innovationWellness & Fitness ProgramValiant University – Online Education and Training PortalReimbursement for Public Transit and ParkingFSA programs for: Medical Costs, Dependent Care, Transit, and ParkingReferral Bonuses
The salary range for this position is a general guideline and not a guarantee of compensation or salary. It has been benchmarked in relation to the scope of the role, market rate, and internal equity. The salary for this role is expected to be in the $140,000 - $155,000 range. Where a candidate falls within the band can be determined based on one or more of the following: skillset, experience level, achievements, education, geographic location, security clearance, involvement in corporate tasks, and other non-discriminatory factors. In addition to the base salary, this role will include benefits as described above. Valiant reserves the right to adjust the salary range, experience requirements, and position responsibilities at any time without prior notice.
Remote Work Policy
Remote work necessitates a high level of trust in our employees. To ensure that employee performance does not suffer in a remote work environment, all employees who telecommute are expected to have a quiet and distraction-free workspace with adequate internet, dedicate their full attention and availability to their job duties during working hours, and maintain a schedule during core business hours that align with those of their coworkers and Valiant's clients. In alignment with Valiant's inclusive and engaging environment, cameras are encouraged and can be required to be on during virtual video conferences. Additionally, in alignment with the Office of the Inspector General’s effort to eliminate conflicting employment, all Valiant employees are required to disclose any current or future outside employment engagements. During onboarding and throughout employment, employees must disclose any current activities or intent to engage in outside employment or other professional activities and obtain written approval. Employees may not solicit or conduct any outside business during core business hours for Valiant Solutions and our clients.
Equal Employment Opportunity
Valiant Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, marital status, or veteran status, in accordance with applicable law.
Physical Demands
Sitting or standing at a desk for prolonged periods of time and consistent operation of a computer. Frequent communication and exchanging of accurate information via electronic communication, phones, and in person. Occasionally lift and/or move moderate amounts of weight, typically less than 20 pounds. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.
Authorization to Share Resume and Personal Information
By submitting your resume for this position, you authorize Valiant Solutions to share your resume, as well as, personal information included on the resume, with its subsidiaries, affiliates and teaming partners for the purpose of considering you for this position and other available positions requiring comparable skills, education and experience. Should Valiant Solutions or its affiliates and teaming partners wish to initiate pre-employment discussions, you will be asked to complete an employment application and related employment documents.
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