66 Data Science jobs in Baltimore

Job Description

Are you a highly organized and strategically-minded operations professional with a passion for optimizing team performance and driving financial excellence? Blend360 is seeking an Operations Manager to join our dynamic Data Science & Insights team. In this pivotal role, you will be instrumental in ensuring the smooth and efficient functioning of our data science consulting engagements, empowering our world-class data scientists to deliver exceptional client outcomes.

This role requires a blend of analytical rigor, financial acumen, and strong interpersonal skills to manage critical aspects of team operations, resource allocation, and performance measurement. You will be a key partner to leadership, providing the insights and infrastructure necessary for strategic decision-making and sustainable growth.

Key Responsibilities:

• Drive Resource Planning and Optimize Resource Utilization:
• Lead the comprehensive resource planning process for the Data Science & Insights team, aligning talent with project demands and strategic priorities.
• Develop and implement tactics to optimize resource utilization, ensuring high billable utilization rates while maintaining team well-being and development.
• Collaborate closely with project managers and data science leads to forecast staffing needs, identify skill gaps, and facilitate appropriate resource allocation across diverse client engagements.
• Manage and maintain resource management tools and systems, ensuring data accuracy and providing insightful reporting on capacity, demand, and utilization.
• Manage Financial Forecasting and Performance:
• Oversee the financial forecasting process for the Data Science & Insights team, including revenue projections, expense tracking, and profitability analysis.
• Partner with finance and leadership to develop and manage team budgets, identifying opportunities for cost optimization and efficiency.
• Conduct in-depth financial analysis of projects and team performance, providing actionable insights to drive profitability and strategic investment decisions.
• Ensure accurate and timely financial reporting, adhering to internal policies and supporting overall company financial objectives.
• Drive Monthly Performance Reporting and Analysis:
• Develop, prepare, and deliver comprehensive monthly performance reports for the Data Science & Insights leadership.
• Analyze key operational metrics, including project delivery timelines, client satisfaction, resource utilization, and financial performance, identifying trends and areas for improvement.
• Translate complex data into clear, concise, and actionable insights, presenting findings and recommendations to stakeholders to inform strategic adjustments.
• Implement and refine reporting processes and tools to enhance data visibility and support continuous performance improvement.
• Drive Key Team Initiative Priorities:
• Oversee the progress of key Data Science & Insights initiatives including pipeline reporting and team development tracking

Qualifications:
Qualifications

• Bachelor's degree in Business Administration, Finance, Operations Management, or a related quantitative field. Master's degree or MBA preferred.
• 5+ years of experience in an operations, finance, or project management role within a consulting firm or a professional services organization, ideally with exposure to data science or technology teams.
• Proven expertise in resource planning, capacity management, and optimization strategies.
• Strong financial acumen with demonstrated experience in budgeting, forecasting, and financial analysis.
• Exceptional analytical skills with the ability to interpret complex data, identify key trends, and generate actionable insights.
• Proficiency in reporting tools, advanced Excel skills and project management tools is a strong plus.
• Excellent communication and presentation skills, with the ability to convey complex information clearly and concisely to diverse audiences, including senior leadership.
• Demonstrated ability to work independently, manage multiple priorities, and thrive in a fast-paced, dynamic environment.
• Strong interpersonal skills and a collaborative mindset, with the ability to build effective relationships across teams.

Additional Information

At Blend360, you'll collaborate with a smart, passionate group of people who are invested in your success. We offer:

• The opportunity to work with an impressive list of Fortune 500 clients, solving their most challenging data-driven problems.
• A culture that values innovation, continuous learning, and professional growth.
• A comprehensive benefits package and a commitment to work-life balance.
• The chance to make a significant impact on the efficiency and effectiveness of a rapidly growing Data Science & Insights practice.

• Drive Resource Planning and Optimize Resource Utilization:
  • Lead the comprehensive resource planning process for the Data Science & Insights team, aligning talent with project demands and strategic priorities.
  • Develop and implement tactics to optimize resource utilization, ensuring high billable utilization rates while maintaining team well-being and development.
  • Collaborate closely with project managers and data science leads to forecast staffing needs, identify skill gaps, and facilitate appropriate resource allocation across diverse client engagements.
  • Manage and maintain resource management tools and systems, ensuring data accuracy and providing insightful reporting on capacity, demand, and utilization.
• Manage Financial Forecasting and Performance:
  • Oversee the financial forecasting process for the Data Science & Insights team, including revenue projections, expense tracking, and profitability analysis.
  • Partner with finance and leadership to develop and manage team budgets, identifying opportunities for cost optimization and efficiency.
  • Conduct in-depth financial analysis of projects and team performance, providing actionable insights to drive profitability and strategic investment decisions.
  • Ensure accurate and timely financial reporting, adhering to internal policies and supporting overall company financial objectives.
• Drive Monthly Performance Reporting and Analysis:
  • Develop, prepare, and deliver comprehensive monthly performance reports for the Data Science & Insights leadership.
  • Analyze key operational metrics, including project delivery timelines, client satisfaction, resource utilization, and financial performance, identifying trends and areas for improvement.
  • Translate complex data into clear, concise, and actionable insights, presenting findings and recommendations to stakeholders to inform strategic adjustments.
  • Implement and refine reporting processes and tools to enhance data visibility and support continuous performance improvement.
• Drive Key Team Initiative Priorities:
  • Oversee the progress of key Data Science & Insights initiatives including pipeline reporting and team development tracking

• Bachelor's degree in Business Administration, Finance, Operations Management, or a related quantitative field. Master's degree or MBA preferred.
• 5+ years of experience in an operations, finance, or project management role within a consulting firm or a professional services organization, ideally with exposure to data science or technology teams.
• Proven expertise in resource planning, capacity management, and optimization strategies.
• Strong financial acumen with demonstrated experience in budgeting, forecasting, and financial analysis.
• Exceptional analytical skills with the ability to interpret complex data, identify key trends, and generate actionable insights.
• Proficiency in reporting tools, advanced Excel skills and project management tools is a strong plus.
• Excellent communication and presentation skills, with the ability to convey complex information clearly and concisely to diverse audiences, including senior leadership.
• Demonstrated ability to work independently, manage multiple priorities, and thrive in a fast-paced, dynamic environment.
• Strong interpersonal skills and a collaborative mindset, with the ability to build effective relationships across teams.

• The opportunity to work with an impressive list of Fortune 500 clients, solving their most challenging data-driven problems.
• A culture that values innovation, continuous learning, and professional growth.
• A comprehensive benefits package and a commitment to work-life balance.
• The chance to make a significant impact on the efficiency and effectiveness of a rapidly growing Data Science & Insights practice.

Site Name: USA - Maryland - Rockville Posted Date: May 30 2025 The Manufacturing Science and Technology (MSAT) organization is a site-based technical team responsible for ensuring manufacturing processes are capable, compliant and productive while maintaining product quality. The site MSAT team is also responsible for delivering continuous improvements to the existing supply chains supported at the Rockville site and working with global MSAT implement process-related improvement programs across the product lifecycle. The Associate Director, Manufacturing Data Science serves as the site MSAT leader in the data and analytics space, supporting site initiatives and implementation of smart manufacturing principles in collaboration with the site digital and analytics teams and driving innovative solutions to complex technical problems. He or she will leada team of data scientists and engineers to facilitate delivery of product and process data solutions in biologics manufacturing environment. This team will leverage data as a key asset to accelerate technology transfer and simplify validation processes, support continuous improvement for established commercial processes, and enhance technical understanding of biopharmaceutical manufacturing. The role will be expected to support technical development of the MSAT organization, promoting technical and leadership capability to develop a high performing MSAT team and improving the data literacy and capability of the MSAT organization. This role will provide YOU the opportunity to lead key activities to progress YOUR career, these responsibilities include some of the following… Serve as the technical leader for data science and analytics capabilities for the MSAT team at Rockville Biopharm Accountable for the development and deployment of the strategic data and analytics plan for the Rockville MSAT Team, in collaboration with other site and central digital and analytics teams Lead a team of scientist and engineering to provide sound data analysis through several statistical methods in support of deviations, investigations and RCA Develops capability roadmaps for the newly formed Digital and Data Analytics Team Questions status quo and develop novel approaches to data mining Perform on a daily basis a wide array of biostatistical and data science techniques: multivariate analysis, machine learning and basics statistical analysis and visualization Drive innovation through leading continuous improvement for technical processes or systems and championing introduction of novel technologies, including new modeling platforms and approaches (first-principle modeling, CFD, machine learning), digital systems and visualizations, and process analytical technologies (PAT) Manages relationships with key internal (i.e. digital, data, analytics, production, engineering, quality) and external (i.e. central and external MSAT teams, tech, R&D) partners to deliver technical objectives and implementation of novel data and analytics platforms and technologies Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Bachelors degree with 12+years post-graduate experience in the Biopharmaceutical/pharmaceutical industry or equivalent with significant emphases on digital, data, and analytics OR MS or PhD with 10+ years post-graduate experience in the Biopharmaceutical/pharmaceutical industry or equivalent with significant emphases on digital, data, and analytics In-depth experience with digital, data, and analytics techniques in the pharmaceutical industry Experience biopharmaceutical manufacturing (upstream / downstream) is required Familiarity and experience with relational databases, statistical software (i.e. SAS, SIMCA, JMP or WebStatistica), modeling and visualization software (i.e. Python, R, Matlab, MS Power) Experience of developing or applying techniques such as pre-processing, classification, regression, clustering, dimensionality reduction and model selection Experience with manufacturing / engineering environments including systems such as IP-21, M-ERP, LIMS, Aspen eBRs Knowledge of GMPs and major regulatory agency regulations, specifically as they relate to data science or data validation Preferred Qualifications: If you have the following characteristics, it would be a plus: MS or Ph.D. in data/computer science or engineering, biological or chemical science or engineering or equivalent technical discipline Strong interpersonal and leadership skills to manage a technical team and cross-functional teams. Prior experience managing a team or matrix team preferred Strong verbal and written communication skills particularly in the area of technical and regulatory related matters. Able to present data science / statistical methods to non-statistical team members Able to interact well with peers, subordinates, and senior personnel in scientific, quality, engineering and operational disciplines. Embraces a team-based culture Demonstrates initiative to solve problems, effective at making and implementing decisions #LI-GSK The annual base salary for new hires in this position ranges from $136,125 to $226,875 taking into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit GSK US Benefits Summary t o learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1- (US Toll Free) or +1 (outside US). GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at #J-18808-Ljbffr

• Full-time

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit

Are you a highly organized and strategically-minded operations professional with a passion for optimizing team performance and driving financial excellence? Blend360 is seeking an Operations Manager to join our dynamic Data Science & Insights team. In this pivotal role, you will be instrumental in ensuring the smooth and efficient functioning of our data science consulting engagements, empowering our world-class data scientists to deliver exceptional client outcomes.

This role requires a blend of analytical rigor, financial acumen, and strong interpersonal skills to manage critical aspects of team operations, resource allocation, and performance measurement. You will be a key partner to leadership, providing the insights and infrastructure necessary for strategic decision-making and sustainable growth.

Key Responsibilities:

• Drive Resource Planning and Optimize Resource Utilization:
  • Lead the comprehensive resource planning process for the Data Science & Insights team, aligning talent with project demands and strategic priorities.
  • Develop and implement tactics to optimize resource utilization, ensuring high billable utilization rates while maintaining team well-being and development.
  • Collaborate closely with project managers and data science leads to forecast staffing needs, identify skill gaps, and facilitate appropriate resource allocation across diverse client engagements.
  • Manage and maintain resource management tools and systems, ensuring data accuracy and providing insightful reporting on capacity, demand, and utilization.
• Manage Financial Forecasting and Performance:
  • Oversee the financial forecasting process for the Data Science & Insights team, including revenue projections, expense tracking, and profitability analysis.
  • Partner with finance and leadership to develop and manage team budgets, identifying opportunities for cost optimization and efficiency.
  • Conduct in-depth financial analysis of projects and team performance, providing actionable insights to drive profitability and strategic investment decisions.
  • Ensure accurate and timely financial reporting, adhering to internal policies and supporting overall company financial objectives.
• Drive Monthly Performance Reporting and Analysis:
  • Develop, prepare, and deliver comprehensive monthly performance reports for the Data Science & Insights leadership.
  • Analyze key operational metrics, including project delivery timelines, client satisfaction, resource utilization, and financial performance, identifying trends and areas for improvement.
  • Translate complex data into clear, concise, and actionable insights, presenting findings and recommendations to stakeholders to inform strategic adjustments.
  • Implement and refine reporting processes and tools to enhance data visibility and support continuous performance improvement.
• Drive Key Team Initiative Priorities:
  • Oversee the progress of key Data Science & Insights initiatives including pipeline reporting and team development tracking
• Bachelor's degree in Business Administration, Finance, Operations Management, or a related quantitative field. Master's degree or MBA preferred.
• 5+ years of experience in an operations, finance, or project management role within a consulting firm or a professional services organization, ideally with exposure to data science or technology teams.
• Proven expertise in resource planning, capacity management, and optimization strategies.
• Strong financial acumen with demonstrated experience in budgeting, forecasting, and financial analysis.
• Exceptional analytical skills with the ability to interpret complex data, identify key trends, and generate actionable insights.
• Proficiency in reporting tools, advanced Excel skills and project management tools is a strong plus.
• Excellent communication and presentation skills, with the ability to convey complex information clearly and concisely to diverse audiences, including senior leadership.
• Demonstrated ability to work independently, manage multiple priorities, and thrive in a fast-paced, dynamic environment.
• Strong interpersonal skills and a collaborative mindset, with the ability to build effective relationships across teams.

At Blend360, you'll collaborate with a smart, passionate group of people who are invested in your success. We offer:

• The opportunity to work with an impressive list of Fortune 500 clients, solving their most challenging data-driven problems.
• A culture that values innovation, continuous learning, and professional growth.
• A comprehensive benefits package and a commitment to work-life balance.
• The chance to make a significant impact on the efficiency and effectiveness of a rapidly growing Data Science & Insights practice.

#J-18808-Ljbffr

RELOCATION ASSISTANCE: Relocation assistance may be available

CLEARANCE TYPE: SCI

TRAVEL: Yes, 10% of the Time

Description

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

The Northrop Grumman Mission Systems (NGMS) Advanced Processing Solutions Business pushes the boundaries of innovation, redefines the leading edge of exotic new technologies, and drives advances in the sciences. One of our most challenging new fields is Transformational Computing, which combines the unique properties of superconductivity and quantum mechanics to develop radical new energy-efficient computing systems. Our team is chartered with providing the skills to transform computing beyond Moore's Law, advancing development of computer architectures, processing/memory subsystems, and large-scale high-performance computing systems. You'll work in a fast-paced team environment alongside a broad array of scientists and engineers to make these processing solutions a reality and deliver remarkable new advantages to the warfighter.

About this position: We are seeking a data scientist who will make significant and ongoing contributions to the maturation of our data driven processes. You will be responsible for collecting, processing and presenting information, including actionable insights, from multiple disparate data sets. The ideal candidate possesses both the analytical aptitude and problem-solving skillset necessary for extracting value from a collection of novel data sets. In addition to being a highly proficient data analyst, this candidate is expected to foster a data pipeline by engineering analytics that lend themselves to automation and scale. As a function of engaging with stakeholders and taking ownership of outcomes, the candidate can comprehend the general problem space and is confident in socializing, demonstrating, and presenting insights generated from the data.

This position requires work on site located at Linthicum, MD and/or Annapolis Junction, MD as needed.

Your responsibilities:

• Analyze multiple data sources from cross-disciplinary teams to identify trends and patterns using engineering fundamentals.

• Interpret data, analyze results using statistical techniques and provide ongoing report to stakeholders of varying scientific fields.

• Summarize and socialize data, make conclusions and provide direction on problems identified.

• Effectively generate ideas and support building tools in order to automate analysis processes.

• Strong communication & visualization of the data to articulate the findings. - Develop and implement data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.

• Design, model, and document the logical and conceptual relationship of data and database changes for metrics and analytics.

What you need to be successful in the role:

• Comfort with requirements-analysis and stake-holder engagement.

• Strong problem-solving skills and root-cause analysis to ensure that curated data is accurate, repeatable, and explainable.

• Solid communication skills (written, verbal, and visual)

• Ability to communicate data and engineering analysis regarding conclusions that were reached.

• Ability to create and present data reports to support investigations.

• Excellent attention to detail.

• Development /programming of tools to improve pipeline efficiency, eliminate repetitive tasks, and implement new analysis tools/techniques.

• Prioritization skills to manage workload and make sound decisions for assigned team's data analysis activities.

Basic Qualifications for a Principal Data Scientist:

• Bachelor's degree in a technical area with 5 years of relevant experience (3 years with technical MS; 0 years with a PhD in a related field)

• Knowledge of data gathering, cleansing and transformation techniques

• Experience with common data science toolkits such as Python and Tableau

• Experience using Python packages: pandas, numpy, matplotlib

• Experience developing and presenting data visualizations for scientific analysis

• Able to obtain and maintain a Top Secret (TS/SCI) clearance per business requirements - must be US citizen

Basic Qualifications for a Sr. Principal Data Scientist:

• Bachelor's degree in a technical area with 8 years of relevant experience (6 years with technical MS; 4 years with a PhD in a related field)

• Knowledge of data gathering, cleansing and transformation techniques

• Experience with common data science toolkits such as Python and Tableau

• Experience using Python packages: pandas, numpy, matplotlib

• Experience developing and presenting data visualizations for scientific analysis

• Able to obtain and maintain a Top Secret (TS/SCI) clearance per business requirements - must be US citizen

Preferred Qualifications:

• Product Lifecycle experience

• Proficient using query languages such as SQL

• Experience mentoring and leading peers in data science projects

• Strong applied statistics skills, such as distributions, statistical testing, regression, etc.

• JMP proficiency (SAS statistical tool) and experience scripting in JSL

• MATLAB experience

• Active TS/SCI clearance with poly

Salary Range: $115,800.00 - $73,800.00Salary Range 2: 144,300.00 - 216,400.00

The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.

Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.

The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.

Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.