843 Business Intelligence Analysts jobs in the United States

Our client is seeking a highly skilled and experienced Senior Data Mining Analyst to join their fully remote team. In this role, you will be instrumental in uncovering actionable insights from vast datasets, driving strategic decision-making, and optimizing business processes across the organization. The ideal candidate possesses a deep understanding of statistical analysis, machine learning algorithms, and data mining techniques, with a proven ability to translate complex data into clear, concise, and impactful recommendations. Responsibilities include designing and executing data mining strategies, developing predictive models, identifying patterns and trends, and conducting in-depth exploratory data analysis. You will work closely with various business units to understand their data needs, define analytical objectives, and deliver robust solutions that address critical business challenges. Proficiency in data manipulation, advanced querying (SQL), and programming languages commonly used in data science (e.g., Python, R) is essential. Experience with big data technologies and cloud platforms is highly desirable. The Senior Data Mining Analyst will also be responsible for interpreting model results, communicating findings to both technical and non-technical stakeholders, and contributing to the continuous improvement of our data analytics capabilities. This is a remote-first position, requiring strong self-discipline, excellent communication skills, and the ability to collaborate effectively in a virtual environment. We are looking for a forward-thinking individual who is passionate about leveraging data to drive innovation and business growth. If you are a seasoned data professional eager to make a significant impact from anywhere, this opportunity is for you.

Key Responsibilities:

• Design and implement advanced data mining techniques and algorithms.
• Develop and validate predictive models using machine learning techniques.
• Analyze large, complex datasets to identify trends, patterns, and anomalies.
• Extract, clean, and transform data from various sources.
• Develop and maintain data visualizations and dashboards for reporting insights.
• Collaborate with business stakeholders to define analytical requirements and objectives.
• Communicate complex analytical findings clearly to technical and non-technical audiences.
• Stay current with the latest advancements in data mining, machine learning, and analytics.
• Contribute to the development and enhancement of data infrastructure and tools.
• Provide mentorship and guidance to junior data analysts.

Qualifications:

• Master's degree or PhD in Statistics, Computer Science, Data Science, or a related quantitative field.
• Minimum of 7 years of experience in data mining, statistical analysis, or machine learning.
• Proficiency in programming languages such as Python or R.
• Strong experience with SQL and database management.
• Expertise in machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills.
• Demonstrated ability to work independently in a remote setting.

Post-Doctoral Position in biomedical data mining Job Description

Postdoctoral Fellows

Qualifications

Postdoctoral Fellows

Job: Postdoctoral Fellows

Organization: School of Medicine - Clinical Departments

Job Posting: Jun 17, 2020

Organization

Welcome to the Baltimore campus of the University of Maryland, founded in 1807 along a ridge in what was then called Baltimore Town. Today, this 61-acre research and technology complex encompasses 65 buildings in West Baltimore near the Inner Harbor.

The University is Maryland's only public academic health, human services, and law center. Seven professional and graduate schools train the majority of the state's physicians, nurses, dentists, lawyers, social workers, and pharmacists.

Under the leadership of President Jay A. Perman, MD, the University is a leading partner in the redevelopment of the west side of Baltimore . The University of Maryland BioPark, which opened in October 2005, promotes collaborative research opportunities and bioscience innovation.

Sponsored research totaled $567.1 million in Fiscal Year 2010. With 6,349 studentsand 6,717 faculty members and staff, the University is an economic engine that returns more than $5 in economic activity for every 1 of state general funds appropriation. The University community gives more than2 million hours a year in service to the public.

Mission

The University of Maryland, Baltimore (UMB) is the States public health, law and human services university devoted to excellence in professional and graduate education, research, patient care, and public service. As a diverse community of outstanding faculty, staff and students, and using state-of-the-art technological support, we educate leaders in health care delivery, biomedical science, global health, social work and the law. We emphasize interdisciplinary education and research in an atmosphere that explicitly values civility, diversity, collaboration, teamwork and accountability. By conducting internationally recognized research to cure disease and to improve the health, social functioning and just treatment of the people we serve, we foster economic development in the City, State, and nation. We are committed to ensuring that the knowledge we generate provides maximum benefit to society and directly enhances our various communities.

The University of Maryland is an Equal Opportunity/Affirmative Action employer and educational institution and does not discriminate on the basis of race, color, religion, age, ancestry, national origin, gender, sexual orientation, physical or mental disability, marital status or veteran's status to recruit, hire, compensate, train and promote employees and applicants for employment in all job levels with regard to their qualifications and without consideration to the aforementioned categories. Exceptions to this policy will be made only as allowed by law for example, due to bona fide occupational qualifications or lack of reasonable accommodations for disabilities.

#J-18808-Ljbffr

Description
ICF International seeks an experienced Data Mining and Analytics Engineer to support the research and development of new cyber analytic capabilities that will help the US protect and defend its networks and critical information systems. The successful cleared candidate will act as a Data Mining and Analytics Engineer to support a large federal cyber security analytic program. Your work will contribute to the knowledge of how cyber-attacks work, how vulnerabilities are exploited, and the way hostile cyber actors operate.  Utilize your skills to help experiment and prototype future cyber capabilities for implementation at large-scale.
As the Data Mining and Analytics Engineer, your exceptional skillset will create useful and actionable insight for the customer through the development of analytic solutions (hardware, analytics, tools, techniques, practices, deployment, standards, performance specifications, etc.) for analytic use cases developed during the performance of this project. You will work closely with the Analytics Research team to identify platform enhancements that support the forward-looking analytics under consideration.
The ideal candidate has extensive knowledge of a wide variety of systems and networks to include high-volume/high-availability systems. You are focused on results, a self-starter, and have demonstrated success for using analytics to drive the understanding, growth, and success of the analysis. This is an opportunity to contribute to an important project from its beginning, work with the latest and emerging technologies, and all while building a great career at ICF!
This role is primarily telework-based with occasional meetings at client locations (Arlington, VA or Pensacola, FL) or ICF facilities within the Washington, DC metro area.
**What You Will Be Doing:**
+ Perform knowledge elicitation from customer subject matter experts and convert that to build analytic solutions
+ Design, engineer, and optimize sustainment of large-scale distributed computation platforms and supporting environment (ecosystems) for various stakeholders, business owners, and industry partners
+ Oversee the transition of services from third-party vendors to the analytic environment and be responsible for ad hoc and formal end-user training
+ Identify applicable data to perform analytics and create solutions to acquire, transform, and load or correlate data components to and from the analytic environment
+ Develop custom data modeling procedures to assist with data mining, modeling, and production
+ Assess the effectiveness and accuracy of new data sources and data gathering techniques
+ Develop processes and tools to monitor and analyze model performance and data accuracy
+ Interpret and communicate results to non-technical customers
**What You Must Have:**
+ Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or related field
+ Position requires a minimum of 5 years experience in data modeling and working with datasets of all sizes using a variety of data mining and data analysis methods/tools
+ Demonstrated hands-on working experience and advanced knowledge of cyber threats, tools, techniques, and processes is required
+ Active security clearance required as part of client contract requirements
+ US Citizenship required as part of client contract requirements

**Preferred Skills/Experience:**
+ Practical experience with the Databricks Intelligence Platform
+ Interpersonal skills and the ability to communicate effectively with various clients in order to explain and elaborate on technical details
+ Experience in developing analytic tools, processes, and governance for storing, modeling, capturing, and delivering data to the client's enterprise
+ Experience with computational notebook technologies such as Databricks, Zeppelin, or Jupyter
+ Experience with the application of visual analytics to computational analytic results
+ Fluency in one or more programming languages (e.g., Python, JavaScript, R, etc.)
+ Experience with database querying like SQL
+ Readiness to collaborate with engineering teams, product teams, and customers to develop prototypes and software products
+ Amazon Web Services (AWS) Certified Cloud Practitioner or higher desired
+ CompTIA Security+ or higher cybersecurity certification preferred
**Working at ICF**
ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.
We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO ( policy.
We will consider for employment qualified applicants with arrest and conviction records.
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email   and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. 
Read more about  workplace discrimination righ t s or our benefit offerings which are included in the  Transparency in (Benefits) Coverage Act.
**Candidate AI Usage Policy**
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process. 
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at  . We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.  
**Pay Range** - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$89,203.00 - $151,646.00
Virginia Remote Office (VA99)

**Req ID:** RQ
**Type of Requisition:** Regular
**Clearance Level Must Be Able to Obtain:** Top Secret/SCI
**Public Trust/Other Required:** None
**Job Family:** Data Science and Data Engineering
**Skills:**
Building Dashboards,Dashboard Reporting,Data Visualization
**Certifications:**
ITIL 4 Foundation - ITIL - ITIL
**Experience:**
5 + years of related experience
**US Citizenship Required:**
Yes
**Job Description:**
USSTRATCOM is a Combatant Command responsible for strategic deterrence, nuclear operations, and enterprise IT services essential to national security. It oversees Nuclear Command, Control, and Communications (NC3), Joint Electromagnetic Spectrum Operations (JEMSO), Global Strike, and Missile Threat Assessments, working closely with other Combatant Commands, Services, and defense agencies. SCITLS will be a key component that will ensure mission success and the safety of the U.S. and its allies by providing 24/7 IT services and network support for NIPRNet, SIPRNet, JWICS, and SAP/SAR environments.
**Data Visualization:** Assists staff, command personnel, and SCITLS task personnel to transform complex datasets into clear, actionable visual formats that support decision-making and strategic planning. Consults with other Service Centers to develop dashboards, charts, and interactive visual tools that present data trends, patterns, and insights in an intuitive and user-friendly way using unified USSTRATCOM visualization elements. Using tools like Tableau, Power BI, or Python libraries, ensures visualizations are accurate, dynamic, and tailored to stakeholder needs. Collaborates with analysts, engineers, and decision-makers to understand requirements and refine outputs, ensuring clarity and impact. Bridges the gap between raw data and actionable insights, enabling organizations to make informed decisions quickly and effectively.
**WHAT YOU'LL NEED TO SUCCEED:**
+ BA/BS (or equivalent experience), 5+ years of experience
+ Security Clearance Level: Top Secret with SCI eligibility
+ Required Certifications: ITIL 4 Foundation; CASP/Security X, CCSP, Cloud+, CCSLP, GDSA, GSEC or FITSP-D
+ Location: Offutt AFB, NE
**GDIT IS YOUR PLACE:**
+ Full-flex work week to own your priorities at work and at home
+ 401K with company match
+ Comprehensive health and wellness packages
+ Internal mobility team dedicated to helping you own your career
+ Professional growth opportunities including paid education and certifications
+ Cutting-edge technology you can learn from
+ Rest and recharge with paid vacation and holidays
**#SCITLS**
The likely salary range for this position is $76,500 - $103,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.
Join our Talent Community to stay up to date on our career opportunities and events at Opportunity Employer / Individuals with Disabilities / Protected Veterans

**Req ID:** RQ
**Type of Requisition:** Regular
**Clearance Level Must Be Able to Obtain:** Top Secret/SCI
**Public Trust/Other Required:** None
**Job Family:** Data Science and Data Engineering
**Skills:**
Building Dashboards,Dashboard Reporting,Data Visualization
**Certifications:**
ITIL 4 Foundation - ITIL - ITIL
**Experience:**
2 + years of related experience
**US Citizenship Required:**
Yes
**Job Description:**
USSTRATCOM is a Combatant Command responsible for strategic deterrence, nuclear operations, and enterprise IT services essential to national security. It oversees Nuclear Command, Control, and Communications (NC3), Joint Electromagnetic Spectrum Operations (JEMSO), Global Strike, and Missile Threat Assessments, working closely with other Combatant Commands, Services, and defense agencies. SCITLS will be a key component that will ensure mission success and the safety of the U.S. and its allies by providing 24/7 IT services and network support for NIPRNet, SIPRNet, JWICS, and SAP/SAR environments.
**Data Visualization:** Assists staff, command personnel, and SCITLS task personnel to transform complex datasets into clear, actionable visual formats that support decision-making and strategic planning. Consults with other Service Centers to develop dashboards, charts, and interactive visual tools that present data trends, patterns, and insights in an intuitive and user-friendly way using unified USSTRATCOM visualization elements. Using tools like Tableau, Power BI, or Python libraries, ensures visualizations are accurate, dynamic, and tailored to stakeholder needs. Collaborates with analysts, engineers, and decision-makers to understand requirements and refine outputs, ensuring clarity and impact. Bridges the gap between raw data and actionable insights, enabling organizations to make informed decisions quickly and effectively.
**WHAT YOU'LL NEED TO SUCCEED:**
+ BA/BS (or equivalent experience), 2+ years of experience
+ Security Clearance Level: Top Secret with SCI eligibility
+ Required Certifications: ITIL 4 Foundation; Cloud+, Security+, SSCP or GSEC
+ Location: Offutt AFB, NE
**GDIT IS YOUR PLACE:**
+ Full-flex work week to own your priorities at work and at home
+ 401K with company match
+ Comprehensive health and wellness packages
+ Internal mobility team dedicated to helping you own your career
+ Professional growth opportunities including paid education and certifications
+ Cutting-edge technology you can learn from
+ Rest and recharge with paid vacation and holidays
**#SCITLS**
The likely salary range for this position is $53,518 - $72,405. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.
Join our Talent Community to stay up to date on our career opportunities and events at Opportunity Employer / Individuals with Disabilities / Protected Veterans

Our client is seeking a visionary Principal Data Scientist to lead advanced analytics initiatives within the mining sector, working entirely remotely. This is a critical role focused on leveraging vast datasets to uncover insights, optimize operations, and drive significant improvements in safety, efficiency, and sustainability across mining operations globally. You will be responsible for designing, developing, and implementing sophisticated machine learning models and statistical analyses to address complex challenges in areas such as predictive maintenance, resource estimation, operational forecasting, and risk assessment. This position requires a deep understanding of the mining lifecycle and its associated data sources, including geological, operational, and sensor data. You will mentor and guide junior data scientists, fostering a culture of innovation and technical excellence. The Principal Data Scientist will collaborate closely with geologists, engineers, and operational managers to identify high-impact opportunities and translate business needs into data-driven solutions. You will be expected to stay at the forefront of data science advancements and apply cutting-edge techniques to mining-specific problems. Responsibilities include data exploration, feature engineering, model selection, validation, and deployment. Experience with large-scale data processing and cloud computing platforms is essential. Strong communication skills are vital for presenting complex findings and recommendations to executive leadership and non-technical stakeholders. A Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field is required, along with a minimum of 8 years of professional experience in data science, with a substantial portion focused on industrial or resource-based sectors. Proven experience in developing and deploying machine learning models for predictive analytics, optimization, or anomaly detection is mandatory. Expertise in programming languages such as Python or R, and familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) are essential. This is a fully remote position, offering unparalleled flexibility for top talent.

Key Responsibilities:

• Develop and deploy advanced machine learning models for mining operations.
• Conduct in-depth data analysis and identify key drivers of performance.
• Collaborate with domain experts to define and solve complex problems.
• Mentor and guide junior data scientists.
• Present findings and recommendations to executive leadership.
• Drive innovation in data science applications for the mining industry.
• Ensure data quality and integrity for analytical projects.

Our client is seeking an exceptional Lead Data Scientist to spearhead our fully remote data analytics initiatives within the mining sector. This is a pivotal role for an experienced data science leader who is passionate about leveraging advanced analytics, machine learning, and AI to drive operational efficiency, optimize resource extraction, and enhance safety in mining operations. As a remote-first position, we require a candidate who is highly self-motivated, possesses excellent communication skills, and thrives in a collaborative virtual environment.

Key Responsibilities:

• Lead the design, development, and implementation of sophisticated data science models and algorithms to address critical challenges in mining, such as predictive maintenance, geological modeling, ore grade optimization, and operational efficiency.
• Collaborate closely with geologists, mining engineers, and operations managers to identify key business problems and translate them into data-driven solutions.
• Develop and maintain robust data pipelines, ensuring data quality, integrity, and accessibility for analytical purposes.
• Utilize a wide range of machine learning techniques, including supervised and unsupervised learning, deep learning, and time-series analysis.
• Build and deploy scalable machine learning models into production environments, monitoring their performance and iterating as needed.
• Communicate complex analytical findings and recommendations clearly and concisely to technical and non-technical stakeholders through visualizations, reports, and presentations.
• Mentor and guide a team of data scientists and analysts, fostering a culture of continuous learning and innovation.
• Stay abreast of the latest advancements in data science, machine learning, and AI, and evaluate their applicability to the mining industry.
• Contribute to the development of the company's data strategy and roadmap.
• Ensure ethical and responsible use of data and AI in all analytical endeavors.

Qualifications:

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• A minimum of 7 years of progressive experience in data science, with a significant track record of leading complex projects and teams.
• Proven expertise in machine learning algorithms, statistical modeling, and data mining techniques.
• Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with big data technologies and platforms (e.g., Spark, Hadoop, cloud-based solutions like AWS, Azure, GCP).
• Excellent SQL skills and experience working with large, complex datasets.
• Demonstrated ability to translate business requirements into analytical solutions.
• Exceptional communication, presentation, and interpersonal skills, with a strong ability to influence stakeholders.
• Experience in the mining or natural resources sector is highly preferred.
• Strong understanding of software development best practices (e.g., version control, testing).

This is an exciting opportunity to make a significant impact on the mining industry through advanced data science. Join our innovative, remote-first team and shape the future of resource management.

Our client is seeking an innovative Lead Data Scientist to drive advancements in mining analytics. This is a fully remote position, empowering you to leverage your expertise from anywhere. You will be at the forefront of applying advanced data science techniques to unlock insights from vast datasets generated within the mining industry. Your primary focus will be on developing predictive models, optimizing operational processes, and enhancing decision-making across exploration, extraction, and processing. Responsibilities include designing and implementing machine learning algorithms, statistical modeling, and data visualization tools to identify trends, forecast outcomes, and detect anomalies. You will collaborate with geologists, engineers, and operations managers to translate complex data into actionable business strategies. The ideal candidate will possess a strong background in statistical analysis, machine learning, programming (e.g., Python, R), and big data technologies. Experience with cloud platforms (AWS, Azure, GCP) and big data frameworks (e.g., Spark) is highly desirable. You will lead a team of data scientists, guiding their research, mentoring their development, and ensuring the quality and impact of their work. Proven ability to communicate complex findings clearly and effectively to both technical and non-technical audiences is crucial. This role demands a creative problem-solver with a passion for innovation and a deep understanding of the challenges and opportunities within the mining sector. You will play a key role in transforming raw data into strategic advantages, driving efficiency, safety, and sustainability in our operations. Join a forward-thinking organization and shape the future of data-driven decision-making in mining.

Our client is seeking a highly accomplished and visionary Principal Data Scientist to lead our advanced analytics initiatives within the mining sector. This is a fully remote, strategic role focused on leveraging vast datasets to drive operational efficiency, optimize resource extraction, and enhance safety protocols across our global operations. The ideal candidate will possess a deep expertise in machine learning, statistical modeling, and data visualization, coupled with a strong understanding of the unique challenges and opportunities within the mining industry.

As the Principal Data Scientist, you will be instrumental in designing, developing, and deploying sophisticated analytical models that address complex business problems. This includes predictive maintenance for heavy machinery, optimizing exploration strategies using geological data, forecasting commodity prices, and improving safety by identifying risk factors through sensor data analysis. You will be responsible for the end-to-end data science lifecycle, from data acquisition and cleaning to model building, validation, and deployment into production environments. Collaboration will be key, as you work closely with geologists, mining engineers, operations managers, and IT professionals to translate data insights into actionable business strategies.

This role requires a proactive approach to identifying new analytical opportunities and a passion for staying at the forefront of data science innovation. You will mentor junior data scientists, foster a culture of data-driven decision-making, and contribute to the company's strategic vision for technological advancement. Expertise in programming languages such as Python or R, along with experience in big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP), is essential. The ability to communicate complex technical findings to non-technical stakeholders in a clear and compelling manner is paramount for success in this remote-first position.

Qualifications:

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• 10+ years of progressive experience as a Data Scientist, with a significant focus on leading complex analytical projects.
• Proven expertise in developing and implementing advanced machine learning algorithms (e.g., deep learning, regression, classification, clustering).
• Strong proficiency in Python or R, including relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas).
• Experience with big data technologies and distributed computing frameworks.
• Demonstrated experience in cloud computing environments (AWS, Azure, GCP).
• Solid understanding of statistical modeling, experimental design, and hypothesis testing.
• Excellent problem-solving skills and the ability to work independently and manage multiple priorities in a remote setting.
• Strong communication and presentation skills, with the ability to explain complex data concepts to diverse audiences.
• Experience or a strong interest in the mining or natural resources sector is highly preferred.

This is a unique opportunity for a top-tier data scientist to make a profound impact on a critical global industry from the comfort of their home office.