Network-Based Cyber Forensics Analyst (NBA) • Assists the Government lead in coordinating teams ... data to enable mitigation of potential Computer Network Defense incidents • Analyzes identified ...
Network-Based Cyber Forensics Analyst (NBA) • Assists the Government lead in coordinating teams ... data to enable mitigation of potential Computer Network Defense incidents • Analyzes identified ...
Nba Data Science information
See Virginia salary details
$16.5K - $33.6K
10% of jobs
$49K is the 25th percentile. Wages below this are outliers.
$33.6K - $50.6K
17% of jobs
$50.6K - $67.6K
10% of jobs
$67.6K - $84.6K
7% of jobs
The median wage is $97.4K / yr.
$84.6K - $101.6K
9% of jobs
$101.6K - $118.6K
10% of jobs
$118.6K - $135.7K
9% of jobs
$144.2K is the 75th percentile. Wages above this are outliers.
$135.7K - $152.7K
10% of jobs
$152.7K - $169.7K
9% of jobs
$169.7K - $186.7K
7% of jobs
$186.7K - $203.7K
4% of jobs
$16.5K
$106.1K
$203.7K
How much do nba data science jobs pay per year?
What are the key skills and qualifications needed to thrive in the Nba Data Science position, and why are they important?
To thrive in NBA Data Science, you need strong analytical skills, expertise in statistics, programming proficiency (usually in Python or R), and a deep understanding of basketball data and metrics, typically supported by a degree in statistics, computer science, mathematics, or a related field. Familiarity with data visualization tools, SQL databases, and machine learning frameworks is highly valued, and additional certifications in data science or analytics are beneficial. Effective communication, teamwork, and problem-solving skills set standout candidates apart, as the role requires translating complex data insights for coaches, managers, and other non-technical stakeholders. These skills are essential to drive data-informed decision-making that can impact team strategy and player performance within a fast-paced NBA environment.
What are the typical responsibilities of an NBA Data Science professional on a daily basis?
As an NBA Data Science professional, your day-to-day work often involves cleaning and analyzing large datasets on player performance, in-game events, and scouting information. You will develop predictive models, create data visualizations, and interpret statistical results to support coaching staff and front-office decision-makers. Collaboration with coaches, video analysts, and other departments is common, as you will help translate data into actionable insights. Additionally, you'll stay up to date with the latest advancements in basketball analytics and may be asked to present findings in meetings or reports. The role is dynamic and impactful, offering opportunities to influence game strategy and long-term team development.
What is an NBA Data Science job?
An NBA Data Science job involves using statistical modeling, machine learning, and data analysis to evaluate player performance, optimize team strategies, and improve decision-making in basketball operations. Professionals in this role work with large datasets, including player tracking data, game statistics, and biomechanics, to extract actionable insights. They collaborate with coaches, front-office staff, and analysts to enhance scouting, game tactics, and player development. Strong programming skills in Python or R, along with expertise in data visualization and predictive modeling, are essential for success in this field.
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Posted 12 days ago
Job description
The DHS’s Hunt and Incident Response Team (HIRT) secures the nation’s infrastructure. HIRT provides DHS’s front-line response for cyber incidents and proactive hunting for malicious cyber activity. MicroSys provides support for on and offsite incident response to Government agencies and critical infrastructure owners who experience cyber-attacks. MicroSys provides HIRT advanced technical assistance, proactive hunting, rapid onsite incident response, and immediate investigation, using host-based, network-based and cloud-based cybersecurity analysis capabilities. Team personnel provide front line response for digital forensics/incident response (DFIR) and proactively hunting for malicious cyber activity. We are seeking Cyber Network Defense Analysts (CNDA) to support this critical customer mission. JOB DESCRIPTION:
Network-Based Cyber Forensics Analyst (NBA)
• Assists the Government lead in coordinating teams in preliminary incident response investigations
• Assists the Government lead with interfacing with the customer while on site
• Determines appropriate courses of actions in response to identified and analyses anomalous network activity
• Assesses network topology and device configurations identifying critical security concerns and providing security best practice recommendations
• Assists with the writing and publishing of Computer Network Defense guidance and reports on incident findings to appropriate constituencies
• Collects network intrusion artifacts (e.g., PCAP, domains, URI’s, certificates, etc.) and uses discovered data to enable mitigation of potential Computer Network Defense incidents
• Analyzes identified malicious network activity to determine weaknesses exploited, exploitation methods, effects on system and information
• Collects network device integrity data and analyze for signs of tampering or compromise
• Assists with real-time CND incident handling (i.e., forensic collections, intrusion correlation and tracking, threat analysis, and advising on system remediation) tasks to support onsite engagements Required Skills:
• U.S. Citizenship
• Must have an active TS/SCI clearance
• Must be able to obtain DHS Suitability
• Must have directly relevant experience in network investigations:
o NBA 02 = Bachelor’s Degree and 2-4 years of experience
o NBA 03 = Bachelor’s Degree and 5-7 years of experience
o NBA 04 = Bachelor’s Degree and 8+ years of experience
• In depth knowledge of CND policies, procedures and regulations
• In depth knowledge of TCP/IP protocols
• In depth knowledge of standard protocols – ICMP, HTTP/S, DNS, SSH, SMTP, SMB, NFS, etc. • In depth knowledge and experience of Wifi networking
• In depth knowledge and experience of network topologies - DMZ’s, WAN’s, etc.
• Substantial knowledge of Splunk (or other SIEM’s)
• Understanding of MITRE Adversary Tactics, Techniques and Common Knowledge (ATT&CK)
• Experience with Snort Rules, Yara Rules, PCAP Analysis, network topologies/network architecture (TCP/IP), diagrams, TAPS, SPAN ports, mirroring, berkley packet filters, netflow, syslog, network communications protocols, Regex/Query/Scripting languages, Pyton, JSON, VMWare, indicators of compromise (IOCs), RedHat/Linux use (CLI)
• Knowledge of Computer Network Defense policies, procedures, and regulations
• Knowledge of defense-in-depth principles and general attack stages with respect to network security architecture
• Ability to characterize and analyze network traffic to identify anomalous activity and potential threats to network resources
• Ability to identify and analyze anomalies in network traffic using metadata
• Experience with reconstructing a malicious attack or activity based on network traffic
• Experience examining network topologies to understand data flows through the network
• Must be able to work collaboratively across physical locations Desired Skills:
• Substantial knowledge of network device integrity concepts and methodologies
• Proficiency with network analysis software (e.g. Wireshark) • Proficiency with carving and extracting information from PCAP data
• Proficiency with non-traditional network traffic (e.g. Command and Control) • Proficiency with preserving evidence integrity according to standard operating procedures or national standards
• Proficiency with designing cyber security systems and environments in a Linux and/or Windows environment
• Proficiency with virtualized environments Operational Tools:
• Splunk use is a must, Splunk certs are great. Operational use is key. • Demonstrated use with: Zeek/Bro, Gigamon or other packet brokers, Wireshark, ELKStack, ArcSight, SourceFire NetWitness, Tanium, Palo Alto, TCPDump, Tshark, Nagios, Suricata, Corelight, Various firewalls (F/W) and router set-up/admin, domin tools (IRIS), AWS Cloud, MS Azure, Google Cloud Required Education:
BS Computer Science, Cyber Security, Computer Engineering, or related degree; or HS Diploma & 10+ years of network investigations experience. Desired Certifications:
• DoD 8140.01 IAT Level II, IASAE II, CSSP Analyst
• DoD 8140.01 GCIA, GCIH, CSSP Analyst/CSSP Incident Responder
• DoD 8140.01 CEH, CSSP Analyst
• SANS GIAC GNFA preferred OPPORTUNITY
Join an ELITE Cyber Team protecting the nation’s critical infrastructure! This is a tremendous opportunity for experienced Cyber Security Engineers to further their hands on technical skills in full life cycle security engineering in a highly technical environment using excellent state of the art technologies. This program is of significant size, scope, and complexity that will allow the selected individual to expand and grow their career.
About MicroSys
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Gainesville, VA, US
Year founded
2002