263 Data Scientist jobs in Baltimore

Summary:

Meta is seeking a highly skilled and motivated Data Scientist to join our Infrastructure Data Centers team. As a lead data scientist, you will partner with stakeholders, program managers, and other data science functions to translate Meta's Infrastructure Data Centers' data into value. You will have the opportunity to work on a wide range of data science projects, such as developing an analytics program to drive operational efficiency, conducting strategic analysis to facilitate decision making, measuring Machine Learning models and automation to increase predictive accuracy and reduce manual effort, and working with software developers to build analytical solutions.The ideal candidate will have a passion for working in ambiguous environment and creating impact from the ground up in a fast-paced environment. Additionally, you will have a proven track record of thought leadership and impact in developing similar analytics programs and machine learning solutions. This position is part of the Infrastructure Data Centers organization.

Required Skills:

Data Scientist Responsibilities:

1. Collaborate with cross-functional data and business teams to define problems, analyze impacts, identify opportunities, and develop solutions that improve decision-making and efficiency.

2. Translate business challenges into data-driven problems and design appropriate data science solutions, including metrics and analytics, business intelligence, experimentation

3. Identify operational gaps, build analytical models to derive insights, and support decision-making across organizational leadership.

4. Design and implement statistical models such as hypothesis testing, forecasting, statistical process control, and simulation to influence critical business decisions and Data Center operations.

5. Utilize expertise in statistics, machine learning, optimization, and automation to develop analytics solutions.

6. Work closely with stakeholders, data engineers, and program/product managers to ensure seamless progress.

7. Educate and influence stakeholders to enhance operational efficiency with empathy.

8. Recommend process improvements based on operational data and user behavior to boost business performance.

9. Mentor team members on data science best practices.

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

2. 6+ years of experience (2 years+ of experience post Ph.D.) with advanced SQL in big data environments (e.g., Hive, Presto, Spark) and data modeling.

3. 6+ years of experience (2 years+ of experience post Ph.D.) managing and analyzing large-scale data using Python, R, or similar languages.

4. 6+ years of experience (2 years+ of experience post Ph.D.) of working with visualization tools such as Tableau, PowerBI, or similar.

5. 6+ years experience (2 years+ of experience post Ph.D.) analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders.

6. Experience in enhancing data collection procedures, data processing, cleansing, and verifying the integrity of data used for analysis

7. Proven track record of managing and leading cross-functional projects and teams.

8. Solid understanding of machine learning techniques and algorithms.

9. Hands-on programming experience in one or more of: AI/ML, LLM, NLP, Statistical modeling.

10. Proficient in statistical analysis and experimental design.

Preferred Qualifications:

Preferred Qualifications:

1. Technical knowledge of data center operations

2. Masters degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related analytical field.

3. Knowledge of simulation and optimization techniques

4. Great communication and storytelling skills to influence all organizational levels (engineers, executives and cross functional teams) to drive business decisions

Public Compensation:

$145,000/year to $204,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

Job Type

Full-time

Description

Welcome to Interclypse, where innovation meets passion. Every team member is a vital piece of our success story. We are not just a company, but a dynamic community driven by the shared vision of redefining excellence. At Interclypse, you will find more than a career - you will discover a vibrant ecosystem where your talents are celebrated, your ideas are embraced, and your potential is achieved. Every Interclypse team member can benefit based on their efforts and collectively benefit through the overall company's success. Join our mission to positively impact society, community, industry, and individuals by always "Doing What is Right". Together, let's pioneer a future where greatness is achieved and exceeded.

To actualize this vision, Interclypse employs a growth mindset culture that empowers employees to rise in their careers by providing them with tools, mentorship, and a supportive environment to ensure long-term success.

Interclypse is supporting several Maryland state agencies in the modernization and sustainment of critical systems. This exciting opportunity provides candidates with the ability to contribute to the long-term health and success of the state while continuing to learn and grow professionally within Interclypse's growth mindset culture.

All positions are required to be onsite at various locations in Maryland.

Make a difference. Join our team by applying today!

Responsibilities:

Responsible for developing techniques or analytics to transform raw data into meaningful information using statistical analysis, machine learning, and visualization software. The individual is responsible for the following tasks:

A. Collect, process, and analyze structured and unstructured data applying data mining, data modeling, natural language processing, and machine learning techniques.

B. Develop predictive models and algorithms to solve problems.

C. Design data pipelines and workflow to automate data processing.

D. Collaboration with multiple teams to understand requirements and objectives.

E. Develop data visualizations, dashboards, and reports.

Requirements

Required Qualifications

• Master's Degree or PH.D. from an accredited college or university with a major in computer science, statistics, mathematics, economics, or related field
• Three (3) years of experience in data science
• Experience as a data scientist or similar role with a strong understanding of statistical analysis and machine learning techniques
• Proficient in SQL, Python, R, or related programming and experience with machine learning libraries and frameworks
• Possess an understanding of statistical concepts and methodologies, such as regression analysis, clustering, and classification

• You want to work for an adaptive company that moves at your speed.
• You want a healthy work-life balance.
• You want to work with a passionate team on an important mission.
• You want to work for an organization that values and appreciates you.
• You want to work for an organization that invests in your growth.
• You want the option for career mentorship, both in technology and in business.
• You value a company with a strong culture of growth and support.

• Personal Time Off (PTO) for vacations, holidays, illnesses
• Parental Leave
• Bereavement Leave
• Jury Duty Leave
• Retirement: Unlimited 401K match up to 8% of your salary up to the federal maximum
• Financial education and planning support
• Health Insurance (Medical, Dental, Vision)
• Health Savings Account (HSA)
• Medical and Dependent Care Flexible Spending Accounts (FSA)
• Employee Assistance Program
• Life Insurance
• Accidental Death and Dismemberment Insurance
• Disability: Short-term and long-term disability coverage
• Educational support
• Company apparel
• Social events: Holiday Party, Spring Picnic, Fall Picnic, happy hours and more.
• Access to group rates for voluntary benefits such as Accident, Hospital Indemnity, Critical Illness, Pet Insurance, and Identity Theft Protection

The Opportunity:

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data.

On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.

Work with us as we use data science for good.

Join us. The world can't wait.

You Have:

• 1+ years of experience in statistics, operations research, or advanced mathematics

• Experience with R or Python

• Experience using scientific methods to inform qualitative and quantitative analyses

• Ability to work effectively in a collaborative and fast-paced environment

• TS/SCI clearance with a polygraph

• HS diploma or GED

Nice If You Have:

• Experience with optimization, modeling and simulation, prediction, estimation, decision analysis, or engineering management

• Experience analyzing large-scale datasets

• Experience with data gathering, cleansing, and parsing

• Experience developing and applying optimization and simulation models

• Ability to work in Windows and Linux OS environments

• Bachelor's degree in Operations Research, Applied Mathematics, or Data Science

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

We are seeking a highly skilled Data Scientist to join our team in Linthicum, MD.

In this role you will:

• Analyze data sources to provide actionable recommendations.
• Conduct hypothesis testing using statistical processes.
• Program custom algorithms.
• Utilize technical documentation or resources to implement a new mathematical, data science, or computer science method.
• Build predictive, prescriptive, or descriptive models in collaboration with stakeholders.
• Plan and conduct complex analytical, mathematical, and statistical research that informs operational requirements.
• Plan, coordinate, and execute complex studies using advanced data modeling techniques and procedures, data trend analysis, and data algorithms.
• Train and evaluate machine learning models.
• Write and document reproducible code.
• Assist integrated project teams identify, curate, and manage test data.
• Utilize open source languages, as appropriate, and apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non-parametric tests of difference, ordinary least squares regression, general line).
• Analyze and plan for anticipated changes in data capacity requirements.
• Analyze information to determine, recommend, and plan the development of a new application or modification of an existing application.
• Provide recommendations on new database technologies and architectures.
• Confer with systems analysts, engineers, programmers and others to design applications.
• Advise higher level leadership on critical data management issues.
• Examine and identify database structural necessities by evaluating operations, applications, and programming.
• Effectively allocate storage capacity in the design of data management systems.
• Consult with customers and key stakeholders to evaluate functional requirements for AI and data applications.

Qualifications:

• Associates degree and 10+ years of experience; OR Bachelor’s degree and 8+ years of experience; OR Master’s Degree and 6+ years of experience; OR 3 years with PhD. A degree from an ABET or NCAE accredited institution in one of the following fields is highly desired: Information Technology, Computer Science, Data Science, Information Systems, or Cybersecurity. However, four (4) additional years of additional relevant experience may be considered in lieu of a Bachelor’s degree.
• Active Secret clearance.
• Desired Certifications: CCISO, CISM, CISSP, or GSLC.
• Knowledge of programming language structures and logic.
• Skill in conducting queries and developing algorithms to analyze data structures.
• Skill in creating and utilizing mathematical or statistical models.
• Ability to interpret and incorporate data from multiple tool sources.
• Ability to use and understand complex mathematical concepts (e.g., discrete math).
• Skill in developing or recommending analytic approaches or solutions to problems and situations for which information is incomplete or for which no precedent exists.
• Ability to build complex data structures and high-level programming languages.
• Ability to collect, verify, and validate test data.
• Ability to dissect a problem and examine the interrelationships between data that may appear unrelated.
• Skill in assessing the predictive power and subsequent generalizability of a model.
• Skill in identifying hidden patterns or relationships.
• Skill in Regression Analysis (e.g., Hierarchical Stepwise, Generalized Linear Model, Ordinary Least Squares, Tree-Based Methods, Logistic).
• Skill in using outlier identification and removal techniques.
• Skill in writing scripts using R, Python, PIG, HIVE, SQL, etc.
• Knowledge of how to collect, store, and monitor data.
• Skill in labeling data to make it more discoverable and understandable.
• Knowledge of statistical/machine learning algorithms.
• Knowledge of mathematics, including logarithms, trigonometry, linear algebra, calculus, statistics, and operational analysis.
• Knowledge of data administration and data standardization policies and standards.
• Knowledge of the capabilities and functionality associated with various technologies for organizing and managing information (e.g., databases, bookmarking engines).
• Knowledge of the characteristics of physical and virtual data storage media.
• Skill in developing data models.
• Knowledge of data operations (DataOps) processes and best practices.

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.

Summary About the Position: This position is a DOD Cyber Excepted Service (CES) personnel system position in the Excepted Service under 10 USC 1599f. Employees occupying CES positions are in the Excepted Service and must adhere to U.S. Code, Title 10, as well as Department of Defense Instruction . This is a Data Scientist position located at Ft. Meade. Responsibilities Provides authoritative technical advice on all aspects of Human Resources data analytics. Counsels and advises others, including Federal staff and recipients, to accomplish the program goals. Serves as an analyst to collect, measure, analyze, and report on areas including but not limited to general human resource functions, staffing, recruitment, retention, attrition, succession planning and efficiencies. Conducts studies, identifies trends, risks, and themes based on the data and information to generate predictive workforce analytics, comparative statistics, and suggestions for improvement. Provides technical guidance in the development and review of policy and procedural issuance from the Department, the Command, and Directorates related to data analysis. Requirements Conditions of Employment Qualifications Who May Apply: Only applicants who meet one of the employment authority categories below are eligible to apply for this job. You will be asked to identify which category or categories you meet, and to provide documents which prove you meet the category or categories you selected. See Proof of Eligibility for an extensive list of document requirements for all employment authorities. Army CES positions apply Veteran's Preference to preference eligible candidates, as defined by Section 2108 of Title 5 U.S.C., in accordance with the procedures provided in DoD Instruction , Volume 3005, "CES Employment and Placement". If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you must submit documents verifying your eligibility with your application package. This position is in the Professional category at the Full Performance level within the CES Occupational Structure. In order to qualify, you must meet the education and/or experience requirements described below. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student; social). You will receive credit for all qualifying experience, including volunteer experience. Your resume must clearly describe your relevant experience; if qualifying based on education, your transcripts will be required as part of your application. Additional information about transcripts is in this document. To qualify based on your experience, your resume must describe one year of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by: Analyzes human resources data compiled from various sources to improve HR processes; Assists in the development of programs used to gather information necessary to create HR policy and guidance; Develops program data, reports, and analysis used by leadership to assist in workforce policy and planning. Basic Requirements for Data Scientist (1560 Series): A. Degree: Bachelor's degree (or higher degree) in mathematics, statistics, or actuarial science. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR B. Combination of Education and Experience: Courses equivalent to a major field of study as shown in paragraph A above, plus additional education or appropriate experience. Education FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit: Additional Information If you are a current federal career/career-conditional employee, you will be placed on an excepted appointment. Male applicants born after December 31, 1959, must complete a Pre-Employment Certification Statement for Selective Service Registration. You will be required to provide proof of U.S. Citizenship. Direct Deposit of Pay is required. Must be able to obtain and maintain a Top Secret/SCI security clearance. Selection is subject to restrictions resulting from Department of Defense referral system for displaced employees. If you have retired from federal service and you are interested in employment as a reemployed annuitant, see the information in the Reemployed Annuitant information sheet. This is a(n) Data Science Career Field position. Salary includes applicable locality pay or Local Market Supplement. When you perform a Civilian Permanent Change of Station (PCS) with the government, the Internal Revenue Service (IRS) considers the majority of your entitlements to be taxable. Visit for more information. Permanent Change of Station (PCS) allowances may be authorized, subject to the provisions of the Joint Travel Regulations and an agency determination that a PCS move is in the Government Interest. Recruitment, Relocation, advanced leave accrual, and/or advanced in-hire rate may be authorized.

• Develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze large and complex datasets.

• Prototype and evaluate multiple algorithms, selecting the final model based on rigorous performance metrics.

• Design and execute experiments or create models to generate data when training datasets are unavailable.

• Generate reports and visualizations that provide actionable insights and summarize data findings for clients.

• Translate complex data analysis into clear, actionable recommendations.

• Collaborate with subject matter experts to automate manual data analysis processes and integrate analytics into production frameworks.

• Conduct assessments of clients' preparedness to integrate data analytics into their operations, including technical, cultural, and workforce aspects.

• Apply expert knowledge in data science to deliver solutions that address clients' business needs.

• Stay current with emerging tools and techniques in machine learning, statistical modeling, and data analytics to continuously improve the quality of your work.

• This role requires a self-driven individual capable of working under minimal supervision, with a strong ability to translate raw data into concise and actionable insights. You will work closely with clients, managers, and technical staff to understand business needs and deliver effective, data-driven solutions that enhance decision-making and operational effectiveness.

• A current TS/SCI with Polygraph is required for this role.

• BA/BS in Math, Statistics, Engineering, Computer Science, or related field

• Proficiency with Python and R.

• Experience using large data sets to solve problems.

• Knowledge of and experience with machine learning, data wrangling, advanced statistical data analysis and modeling.

• AWS or Cloud experience.
• Ability to communicate complex models and concepts effectively in non-technical language.

• Bachelors Degree with 4+ years of relevant experience.

• Masters Degree with 2+ years of relevant experience.

• PhD. with 1+ years of relevant experience.

• Familiarity with commercial and open-source data science software.

• Familiarity with relational databases: Oracle, SQL, and ETL tools.

1. Competitive Salary
2. Important Work / Make a Difference supporting national security within the Intelligence Community.
3. Job Stability : Elder Research is not a typical government contractor, we hire you for a career not just a contract.
4. People-Focused Culture: we prioritize work-life-balance and provide a supportive work environment as well as opportunities for professional growth and advancement.
5. Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.

Job DescriptionJob Description

Pointer Technologies is seeking a skilled and innovative Data Scientist to join our dynamic team. In this role, you will work at the intersection of data analysis, machine learning, and mission strategy to uncover insights, build predictive models, and help solve mission-critical problems.

The ideal candidate is both technically competent and familiar with the security and defense mission, capable of translating complex data into actionable recommendations that support strategic decision-making. This person is diligent, works well with others, inspired to learn, driven by mission and practices effective communication.

Responsibilities

• Analyze large, complex datasets to uncover patterns, trends, and insights.
• Develop predictive and prescriptive models to address key mission challenges.
• Build, test, and deploy machine learning models and algorithms.
• Collaborate with cross-functional teams to understand mission objectives and translate them into data-driven solutions.
• Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
• Design and implement data visualization dashboards to support real-time decision-making.
• Research and stay updated on the latest advancements in data science and machine learning.

Requirements

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Proficiency in programming such as Python or R.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
• Solid understanding of statistical methods, machine learning algorithms, and predictive modeling techniques.
• Familiarity with data visualization tools like Tableau, Power BI, or Plotly.
• Hands-on experience with SQL and working with large-scale databases.

Nice To Have

• Knowledge of cloud-based data platforms (e.g., AWS, Azure).
• Experience with big data technologies like Spark, Hadoop, or Databricks.
• Familiarity with MLOps workflows and tools.
• Strong mission familiarity and ability to frame data-driven insights in the context of organizational goals.
• Background in specific domains (e.g., marketing analytics, healthcare, finance).

Clearance

TS/SCI clearance with polygraph required

About Us

Pointer Technologies is Mission Forward and Employee Owned.

We leverage talented engineers and effective technologies to drive success in our nation’s Security and Intelligence missions. We enable our nation to be capable, modernized, and anticipatory for the fight ahead - seen or unseen.

Here are some of our core values:

Employee Ownership

At Pointer Technologies, all employees are eligible to be granted stock, making them a shareholder in the business. We want our employees to be as invested in our success as we are in theirs, and we believe that generously giving our employees a piece of the pie will encourage this. At Pointer, our employees are not only the foundation of our success - they get to share in our success. 

Transparency

Since every employee at Pointer Technologies is a shareholder, we have an open book policy with our team. We hold quarterly all hands meetings where the business reports its contracts portfolio, growth strategy, and even financial health and projections with all employees. 

Talent

At Pointer Technologies we don't just hire anybody - top tier talent is part of our brand. New candidates will face technical screenings to verify that they uphold our technical standards. Anybody who is offered a position at Pointer can know that they have earned the right to be a part of our team. 

Meaningful Work

At Pointer Technologies we support work that is impactful to our nation’s Security and Intelligence missions. Every single member of the Pointer Technologies team takes pride in knowing that the work that they do matters, and that it is making a positive and meaningful impact on our success as a nation.

Benefits

• Health Insurance through Blue Cross Blue Shield
• Dental, vision, long-term & short-term and life insurance
• 10% 401K matching with immediate vesting
• 248 hours of PTO with the ability to flex higher or lower
• Education and training budget of $5,250
• Paid military leave
• Paid maternity leave
• Internal referral profit sharing
• Employee Equity Program
• Quarterly all hands to promote transparency
• Paid company lunches
• Culture building events and parties
• The best company swag around

*Learn more and find additional details on our benefits page.

___

Pointer Technologies is an equal opportunity employer. We celebrate and are committed to creating an inclusive environment for all employees. All applicants will receive consideration for employment without regard to , color, , , , , , , veteran status, or any other state or federal legally protected status.

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• Conduct exploratory data analysis (EDA) to uncover insights from large-scale, unstructured datasets.
• Apply advanced visualization techniques to summarize and communicate data characteristics.
• Exercise creativity in applying novel analytical methods to high-value use cases.

• Research and implement cutting-edge machine learning algorithms for distributed computing.
• Develop predictive models for classification, regression, and clustering tasks.
• Evaluate and optimize model performance for scalability and accuracy.

• Design and implement complex algorithms for data processing and analysis.
• Build prototypes and production-grade applications integrating data science techniques.
• Manage codebase using version control systems (e.g., Git) and ensure collaborative development.
• Deploy applications across HPC clusters, cloud platforms, or containerized environments (Docker, Kubernetes).

• Develop and maintain ETL pipelines and data integration workflows.
• Interpret and connect complex data sources to generate actionable insights.
• Collaborate with cross-functional teams to deliver data-driven solutions.

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• 5+ years of experience in data science, machine learning, or software development.
• Proficiency in programming languages such as Python, R, Java, or Scala.
• Experience with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
• Strong understanding of machine learning frameworks (e.g., scikit-learn, TensorFlow).
• Hands-on experience with HPC environments, cloud computing, and containerization technologies.
• Familiarity with version control systems and collaborative development practices.

• Experience with distributed computing frameworks (e.g., Spark, Dask).
• Knowledge of data warehousing and pipeline orchestration tools.
• Background in scientific computing or large-scale simulation environments.
• Strong communication skills and ability to translate technical findings into business insights.