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Human Resource Mining Jobs in Silver Spring, MD (NOW HIRING)

Leads all data mining and extraction activities and apply algorithms to derive insights. Contribute ... May lead a team of matrixed resources. QUALIFICATIONS: Education Level: Bachelor's Degree in ...

Collabera recognizes true potential of human capital and provides people the right opportunities ... SQL Data mining / data analysis Candidates with a background of programming is ideal C/C++/Java ...

Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial ... Services, Human Resources, employee engagement, marketing, communications, or a related field.

New

... HR platforms, Active Directory or Microsoft Entra ID, LDAP directories, ERP platforms, cloud ... mining, access certification, andSoDconcepts. * Ability to troubleshoot Saviynt issues across ...

Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial ... human resources. Education and Experience Requirements: * Requires bachelor's degree (or ...

New

... HR platforms, Active Directory or Microsoft Entra ID, LDAP directories, ERP platforms, cloud ... mining, access certification, andSoDconcepts. * Ability to troubleshoot Saviynt issues across ...

... human resources, or other related fields. * The position requires expert knowledge and experience ... Extensive experience with Insider Threat databases for record-keeping, data mining, and analysis ...

Showing results 41-60

Human Resource Mining information

See Silver Spring, MD salary details

$27.4K

$45.7K

$62K

How much do human resource mining jobs pay per year?

As of Sep 3, 2026, the average yearly pay for human resource mining in Silver Spring, MD is $45,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,800.00 and $49,600.00 per year, depending on experience, location, and employer.

What is human resource mining?

Human Resource Mining refers to the process of using data analysis and mining techniques to extract valuable insights from HR data. This can include analyzing employee performance, turnover, recruitment, and engagement to support data-driven decision making in human resource management. By leveraging HR mining, organizations can identify trends, predict workforce needs, and improve overall organizational effectiveness. It often involves the use of specialized software and advanced analytics to interpret large volumes of HR data.

What are the key skills and qualifications needed to thrive as a human resource mining specialist?

To thrive as a Human Resource Mining Specialist, you need a solid background in data analysis, human resources practices, and a relevant degree such as HR, analytics, or business. Familiarity with HRIS systems, data mining tools (like Python, R, or SQL), and HR analytics platforms is typically required. Excellent communication, critical thinking, and problem-solving skills help you translate complex data insights into actionable HR strategies. These skills are essential for driving data-informed HR decisions that improve talent management, optimize workforce planning, and support organizational goals.

What are some of the main challenges faced by professionals working in human resource mining, and how can they be addressed?

Professionals in human resource mining often encounter challenges related to managing and analyzing large volumes of employee data while ensuring privacy and compliance with regulations. Another common challenge is integrating insights from data mining into practical HR strategies that align with organizational goals. To address these issues, it is important to stay updated on data privacy laws, use reputable HR analytics tools, and foster collaboration between HR, IT, and data science teams. Continuous training and clear communication can also help bridge the gap between technical and HR functions.

What is the difference between Human Resource Mining vs Human Resources Coordinator?

AspectHuman Resource MiningHuman Resources Coordinator
Required CredentialsBachelor's degree in HR, data analysis skillsBachelor's degree in HR or related field, communication skills
Work EnvironmentData-driven, analytical, often in HR or data teamsOffice setting, employee interaction, administrative tasks
Employer & Industry UsageUsed in organizations focusing on talent analytics and data miningCommon in HR departments for employee management
Search & Comparison IntentUnderstanding data-driven HR rolesHR administrative and coordination roles

Human Resource Mining focuses on analyzing HR data to uncover insights, requiring data analysis skills and a background in HR. Human Resources Coordinators handle employee relations, administrative tasks, and coordination within HR teams. While both roles are within HR, HR Mining is more analytical and data-focused, whereas HR Coordinators are more involved in daily employee management and administrative duties.

What are popular job titles related to Human Resource Mining jobs in Silver Spring, MD?

For Human Resource Mining jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Human Resource Mining jobs in Silver Spring, MD look for?

The top searched job categories for Human Resource Mining jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Human Resource Mining jobs?

Cities near Silver Spring, MD with the most Human Resource Mining job openings:

Infographic showing various Human Resource Mining job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $45,739 per year, or $22 per hour.

Lead Data Scientist (Hybrid)

CareFirst

Baltimore, MD • Hybrid

Full-time

Retirement

Posted 15 days ago


CareFirst BlueCross BlueShield rating

7.3

Company rating: 7.3 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

242nd of 315 rated insurance


Job description

Resp & Qualifications

PURPOSE: 
Leads proliferation of machine learning and artificial intelligence throughout the enterprise. Identifies and solves business problems by using various numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining. Uses advanced analytical capabilities to support data science initiatives. Communicates across product teams and with customers and educates on artificial intelligence, machine learning, and statistical models. Leads interactions between analytics, business units and other departments.

We are not looking for generalists who may have an IT background and various credentials like Scrum, Agile, etc. We are looking for an experienced professional in the greater Baltimore/Washington metropolitan area who is willing and able to work in a hybrid model. The incumbent will be expected to work a portion of their week from home and a portion of their week at a CareFirst location based on business needs and work activities/deliverables that week.
ESSENTIAL FUNCTIONS:

  • Leads all data mining and extraction activities and apply algorithms to derive insights. Contribute to the analytics, reporting and data governance activity related to Member Identification/Stratification (ID/STRAT), Attribution/Program Assignment, Data Extracts/Sharing, Population Health Management, Predictive Modeling and Program Evaluation. Support items like AI implementations, partnerships with our IT/Data Management teams, vendor support (ex: Milliman MedInsights) and other related functions.
  • Synthesizes analytical findings for consumption by the teams and senior executives.
  • Leads proliferation of machine learning and artificial intelligence solutions.
  • Apply artificial intelligence techniques to achieve concrete business goals while managing limited resources and constraints around data.
  • Mentors and develop junior data scientists for advanced data analysis. 
  • Translates business priorities and creates data science deliverables.
  • Leads implementation of ML/AI/DS best practices for new data products and builds robust and scalable software.

SUPERVISORY RESPONSIBILITY:
Position does not have direct reports but is expected to assist in guiding and mentoring less experienced staff. May lead a team of matrixed resources.
QUALIFICATIONS:
Education Level: Bachelor's Degree in Statistics, Mathematics, Computer Science or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
Experience: 8 years of relevant work experience.
Preferred Qualifications:

  • Prior Healthcare analytics experience is a must.
  • Experience in domains.
  • Experience with delivering work consistently and transparently to our business partners, both internal and external.

Knowledge, Skills and Abilities (KSAs)

  • Ability to communicate effectively and document objectives and procedures.
  • Ability to leverage a wide variety of data science tools and frameworks.
  • Ability to support data exploration and data analysis tasks in support of analytics objectives.
  • Knowledge in model evaluation, tuning and performance, operationalization, and scalability of scientific techniques. 
  • Proficiency in statistical modeling applications. 
  • Proficiency in advanced SQL in multiple syntaxes.
  • Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence. Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.

Salary Range: 119,016 - 236,379

Salary Range Disclaimer

The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the work is being performed. This compensation range is specific and considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, internal peer equity, and market and business consideration. It is not typical for an individual to be hired at the top of the range, as compensation decisions depend on each case's facts and circumstances, including but not limited to experience, internal equity, and location. In addition to your compensation, CareFirst offers a comprehensive benefits package, various incentive programs/plans, and 401k contribution programs/plans (all benefits/incentives are subject to eligibility requirements).

Equal Employment Opportunity

CareFirst BlueCross BlueShield is an Equal Opportunity (EEO) employer.  It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Federal Disc/Physical Demand

Note:  The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes him/her ineligible to perform work directly or indirectly on Federal health care programs.

PHYSICAL DEMANDS:

The associate is primarily seated while performing the duties of the position.  Occasional walking or standing is required.  The hands are regularly used to write, type, key and handle or feel small controls and objects.  The associate must frequently talk and hear.  Weights up to 25 pounds are occasionally lifted.

Sponsorship in US

Must be eligible to work in the U.S. without Sponsorship

#LI-NH2 


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