108 Data Science jobs in Dallas

POSITION / TITLE: Data Science Lead
Location: Onsite -location is Dallas, TX & NY/NJ.
Job Type: FTE/FTC

Who are we looking for?

Individuals with 8+ years of experience implementing and managing data science projects. Excellent working knowledge of traditional machine learning and LLM techniques.
The candidate must demonstrate the ability to navigate and advise on complex ML ecosystems from a model building and evaluation perspective. Experience in NLP and chatbots domains is preferred.

We acknowledge the job market is blurring the line between data roles: while software skills are necessary, the emphasis of this position is on data science skills, not on data-, ML- nor software-engineering.

Responsibilities:

• Lead data science and machine learning projects, contributing to model development, optimization and evaluation.
• Perform data cleaning, feature engineering, and exploratory data analysis.
• Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.
• Collaborate with other DS and engineers to deliver projects.

Technical Skills - Must have:

• Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.
• Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.
• Ability to translate complex machine learning problem statements into specific deliverables and requirements.
• Should have worked with major cloud platforms such as AWS, Azure or GCP.
• Working knowledge of SQL and no-SQL databases.
• Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.
• Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.
• Strong understanding of evaluation and monitoring metrics for machine learning projects.

Technical Skills - Good to have:

• Track record of getting ML models into production
• Experience building chatbots.
• Experience with closed and open source LLMs.
• Experience with frameworks and technologies like scikit-learn, BERT, langchain, autogen.
• Certifications or courses in data science.

Education:

• Master's/Bachelors/PhD Degree in Computer Science, Engineering, Data Science, or a related field.

Process Skills:

• Understanding of gile and Scrum methodologies.
• Ability to follow SDLC processes and contribute to technical documentation.

Behavioral Skills :

• Self-motivated and capable of working independently with minimal management supervision.
• Well-developed design, analytical & problem-solving skills
• Excellent communication and interpersonal skills.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

General Summary

Elevate is a leading online lending platform specializing in providing small dollar loans to individuals and businesses. Our mission is to offer accessible and responsible financial solutions through innovative technology and personalized service. As we continue to grow our operations, we are looking for a dynamic and strategic Vice President of Credit Risk Management to join our leadership team.

Principal Duties and Responsibilities

• Strategic Leadership
  • Develop and execute a comprehensive credit risk management strategy aligned with the company's growth objectives.
  • Stay abreast of industry trends, competitive practices, and regulatory changes to inform strategic decisions.
  • Collaborate with the executive team to integrate credit risk considerations into overall business strategy.

• Portfolio Performance
  • Help design and monitor portfolio reports, dashboards, and KPIs that allow executive management to measure portfolio profitability.
  • Develop and maintain a strong relationship with Marketing, IT, Legal/Compliance and other functions to ensure alignment of Risk Management initiatives with Company objectives. Work with internal risk partners to improve the efficiency and effectiveness of the end-to-end programs for each business.
  • Analyze the expected risk impacts and profitability of new products/Marketing channels. Make recommendations and execute strategy enhancements to improve profitability through creative Risk Management solutions.
  • Work with product and marketing to set goals on different financial levers (first pay defaults, fund rates, cost of acquisition, profitability, etc.

• Innovation and Technology Integration
  • Champion the adoption and integration of innovative technologies that enhance risk assessment processes, such as AI and data analytics tools.
  • Explore opportunities to improve customer experience and operational efficiency through technology solutions.

• Team Leadership and Development
  • Lead and mentor a high-performing risk management team, promoting a culture of innovation, accountability, and collaboration.
  • Foster talent development and ensure team members have access to the training and development they need to excel.

• Regulatory Compliance and Governance
  • Ensure all credit risk management practices are compliant with relevant laws and regulations.
  • Collaborate with legal and compliance teams to develop risk policies and procedures that align with best practices and regulatory requirements.

• Stakeholder Engagement
  • Build strong relationships with internal and external stakeholders, including executives, product teams, and regulatory bodies.
  • Present credit risk strategies and findings to the board and senior leadership in a clear and compelling manner.

Experience and Education

• Master's degree in Finance, Business Administration, Economics, or a related field; PhD preferred.
• 10+ years of experience in credit risk management within the financial services or online lending industry.
• Proven track record of strategic leadership and driving high-impact initiatives successfully.
• Strong expertise in credit risk modeling methods, including experience with machine learning techniques.
• Excellent understanding of regulatory requirements and best practices in credit risk management.
• Exceptional analytical skills, with the ability to synthesize complex data and make informed decisions.
• Proven ability to drive innovation using technology and data analytics.
• Strong interpersonal and communication skills, with the ability to influence at all levels of the organization.

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#LI-BJ1

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Create robust predictive models with statistics and Python programming. Build confidence and credibility to tackle complex machine learning problems on the job. This course is offered in person and live online, in a remote classroom setting.

Get the tech skills needed to advance your career in data science, with a flexible work/study program, in as little as ten weeks, with live online instructors who are experts in their field.

Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.

Benefits: Medical, Dental, Vision, Paid time off, Stock plan, Remote work policy.

Role Overview:

• Seeking a high-impact principal data science engineer to join a founding team focused on advancing our mission to combat the skilled worker crisis by unlocking high pay, high dignity careers for talent. The role will have a high degree of autonomy and will have the opportunity to touch all areas of the stack (full stack machine learning, Client operations and API development).
• This role represents a chance to join an early-stage team with a focus on creating large-scale positive impact in the world while also generating substantial value in a multi-trillion-dollar industry .

What you'll be doing:

• Developing our core technology product, a data-rich system of engagement and record for identifying, qualifying, staffing, optimizing, and retaining skilled talent .
• Partnering to build and execute a data strategy in support of the long-term business vision .
• Building Client algorithms to support skilled worker retention as well as matching algorithms underlying a labor marketplace.
• Flexing across the entire machine learning model development lifecycle, including EDA, data pipelines, feature engineering, model productionisation and monitoring.
• nalyzing data (market, user behavior, etc.) to inform new feature development and the associated ROI across our various customer personas .
• Ensuring security best-practices around PII and other sensitive data/access .
• Bringing values-centered leadership and deep belief in our mission for serving customers, partners, & employees.

Must have:

• Tracker record of building and shipping production-grade data products, from 0-1.
• Comfortable working across the stack with modern programming languages and frameworks ( Python, Java ) & platforms ( WS, GCP, Azure , etc.).
• ble to flex from 100% data science focus to 100% engineering execution based on company needs, with the most likely split being near the center.
• Early-stage startup experience.

Nice to have:

• Big tech company experience at companies such as: mazon (strongly preferred), pple, Twitter, Amazon, Google, Meta, MicroSoft, Netflix , etc.

We are PMG

Named Ad Age Best Places to Work for 10 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG leverages business strategy and transformation, creative, media, and insights-as well as its proprietary operating system, Alli-to deliver cutting-edge digital solutions and innovative media strategies.

Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods spans 85+ countries.

Who You'll Be Working With

At PMG, our Data Science team is at the core of transforming complex data into strategic insights that drive smarter marketing, media, and business decisions. We don't just analyze numbers-we build predictive models, develop automation, and refine AI-driven solutions that help brands optimize performance, personalize experiences, and maximize impact across digital channels.

You'll collaborate with engineers, analysts, media strategists, and product teams, applying advanced data science techniques to enhance targeting, improve measurement, and develop next-generation marketing intelligence. Whether it's training machine learning models, engineering scalable data pipelines, fine-tuning optimization algorithms, or advancing AI-driven marketing strategies, your expertise will help brands connect with the right audiences, at the right time, with the right message-more efficiently than ever before.

Beyond execution, you'll play a key role in exploring emerging AI technologies, refining data science methodologies, and shaping the future of predictive analytics and automation. You'll have opportunities to test new approaches to measurement, integrate deep learning into decision-making processes, and experiment with AI-powered media solutions that redefine what's possible in digital marketing. At PMG, we don't just respond to industry trends-we set them, ensuring our clients stay ahead in a rapidly evolving, data-driven world.

As Head of Data Science, you'll have the opportunity to tackle complex challenges, lead AI-driven innovation, and turn analytics into meaningful business and marketing outcomes.

What You Will Do

• Develops and champions the long-term (3-5 year) strategic vision and execution roadmap for a broad data science organization, ensuring alignment with PMG's overarching business strategy and market leadership goals.
• Leads and mentors a team of Data Science Directors and/or Senior Managers, fostering a culture of high performance, strategic thinking, innovation, and impactful leadership across multiple teams.
• Accountable for the P&L or substantial budget of a large data science practice, driving revenue growth, cost efficiencies, and measurable ROI from AI/ML initiatives.
• Directs the incubation, scaling, and enterprise-wide adoption of cutting-edge AI/ML capabilities (e.g., federated learning, large-scale reinforcement learning, advanced knowledge graphs) that create significant competitive differentiation.
• Serves as a primary advisor to C-suite executives on AI/ML strategy, investment, and risk, translating complex technological possibilities into clear business implications and strategic opportunities.
• Builds and cultivates C-level relationships with key clients and strategic partners, acting as an executive sponsor for critical data science engagements and driving new business at a strategic level.
• Establishes and governs enterprise-level policies for AI ethics, data governance, model risk management, and regulatory compliance, ensuring responsible and secure AI deployment at scale.
• Represents PMG's AI/ML thought leadership and capabilities at premier industry events, in influential publications, and with key industry analysts, shaping market perceptions and attracting top talent.
• Drives organizational design, talent strategy, and succession planning for a significant segment of the data science function, ensuring a robust pipeline of future leaders and technical experts.
• Oversees the most critical and complex AI/ML programs, ensuring they deliver transformative business outcomes and set new standards for excellence in execution.
• Stay current with emerging data science-focused Python libraries and apply them effectively to develop models and business-impactful solutions.

What You Will Bring:

• 20+ years of experience in data science, including 10+ years of leadership experience, with a bachelor's degree or equivalent work experience.
• Proven ability to lead and scale data science programs across complex organizations, translating strategic objectives into high-impact analytical initiatives.
• Deep expertise in machine learning, causal inference, and statistical modeling using Python, R, and advanced analytics frameworks.
• Strong fluency in experimentation design, forecasting, and measurement strategies to guide product and business decision-making.
• Skilled in collaborating with engineering and data platform teams to build scalable data infrastructure and production-ready modeling pipelines.
• Track record of influencing executive stakeholders through clear communication, analytical storytelling, and evidence-based insights.
• Experienced in building inclusive, high-performing teams, and mentoring data science leaders to foster innovation, growth, and consistency.
• A commitment to curiosity and adaptability as a Continual Learner, staying at the forefront of media innovation while prioritizing client success with a Customer-Focused mindset that seeks opportunities to deliver meaningful value.
• A dedication to People-Focused leadership, fostering collaboration, innovation, and professional growth by Leading by Example and nurturing strong relationships that empower others to excel.

What We Offer

• Professional Development : Take advantage of our learning and development programs, mentorship opportunities, and career advancement support.
• Generous Time Off : Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones.
• Parental Leave : We provide paid parental leave to support your family during important life events.
• Retirement & Pension Plans : Plan for your future with competitive retirement or pension programs, including contribution matching.
• Fertility and Family Support : Access fertility benefits for all team members and their spouses.
• Healthcare : Coverage and support for everyday medical expenses and routine care, tailored by geography.
• Pet Insurance : Protect your pet's health and your finances.
• Lifestyle Spending Accounts : Enjoy 100% company-funded accounts to promote healthy habits and well-being.
• Commuter Benefits : Access support for travel and commuting needs, where available.
• Annual Bonus : All employees are eligible for an annual bonus.
• Volunteering Opportunities : Receive 8 give-back hours to volunteer in your local communities.
• AI Enterprise License : Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety.

Benefits vary by country, location, and geography to reflect local laws, norms, and expectations.

What Sets Us Apart

Being part of PMG means joining a company culture that's unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation-which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way.

In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

**Position Overview**
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Science Group Manager within PNC's Technology organization, you will be based in Pittsburgh, PA, Dallas, TX, Tysons Corner, VA or Cleveland, OH. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager's discretion.
We are seeking an experienced and visionary Data Product Leader to drive the strategy, development, and delivery of data products for PNC

Senior Scientist, Data Science - Hybrid
Requisition Id:
Business Unit: Corporate
Location:
North Richland Hills, TX, US, 76180
**What you'll need to succeed as Senior Scientist, Data Science at XPO**
Minimum qualifications:
+ Bachelor's degree or equivalent related work or military experience
+ 2 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management
+ Experience with statistical modeling, data analytics and visualization using R and Python (Numpy, Pandas, Scipy, Plotly and Matplotlib)
+ Significant experience applying one or more analytical methods: regression (preferably mixed models), data classification and reduction (cluster, factor, principle components, decision trees), Bayesian inference or other advanced machine learning techniques
+ Deep understanding of statistical modeling, machine learning, deep learning or data mining concepts, and a track record of solving problems with these methods
+ Technical database knowledge (Oracle, NoSQL, data modeling) and experience optimizing SQL queries on large data
+ Ability to write SQL fluently, recognize and correct inefficient or error-prone SQL, and perform test-driven validation of SQL queries and their results
+ Proficiency in Microsoft Office and Windows applications
+ Availability to work periodic 24/7 on-call support as required by the team's rotation schedule
Preferred qualifications:
+ Master's degree in Computer Science, MIS, Engineering, Business or a related field
+ Data science specialization from Coursera, Udacity, Data Camp, etc.
+ 5 years of experience in data science, or data analysis with a focus on advanced analytics, statistical modeling, machine learning, and AI
+ 5 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management
+ Ability to quickly learn and achieve proficiency in new software applications
**About the Senior Scientist, Data Science job**
Pay, benefits and more:
+ Competitive compensation package
+ Full health insurance benefits available on day one
+ Life and disability insurance
+ Earn up to 15 days of PTO over your first year
+ 9 paid company holidays
+ 401(k) option with company match
+ Education assistance
+ Opportunity to participate in a company incentive plan
What you'll do on a typical day:
+ Conceive and develop end-to-end solutions focused on data science and engineering, using machine learning and deep learning algorithms, statistical concepts, data modeling, software development, cloud computing and visualizations
+ Resolve technical issues in existing processes and current development work; solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines
+ Understand and improve shared standard patterns, templates and artifacts for data science platform architecture, data science development approaches, data models, new technology adoption and rollout
+ Collaborate with IT and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution delivery
+ Mentor other team members on technical skills, methodologies, problem solving approaches and standard patterns used at XPO
+ Generalize and share technical approaches among other developers, and simplify and communicate completed work to broader audiences across the company
+ Help support data consumers to ensure they have reliable access to trusted data
**About XPO**
XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO.
We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.
The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification.
Review XPO's candidate privacy statementhere ( .

KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we do not anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG is currently seeking a Manager, NFR Data Science in Non-Financial Risk for our Consulting practice.

Responsibilities:

• Serve as the technical lead on projects to design and develop advanced AI/ML solutions to meet clients' unique requirements, including participation in internal and external discussions to gather business use case requirements, provide advanced analytics and data science expertise and solution options for business problems
• Engineer solutions using natural language processing and machine learning techniques to solve critical problems and improve processes for clients across capital markets and financial services businesses, including trade surveillance, electronic communications surveillance, payments fraud detection, third-party risk management and other operational risk categories
• Utilize machine learning, natural language, and statistical analysis methods, such as sentiment analysis, topic modeling, time-series analysis, regression, classification, statistical inference, and validation methods to review financial services client risks
• Perform explanatory data analyses, generate and test working hypotheses; prepare and analyze historical data and identify patterns to develop innovative solutions to financial services operational risk and regulatory compliance programs
• Lead technical teams, mentor junior data scientists, and grow data science expertise within the broader team, including offshore; collaborate with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that AI/ML solutions meet the needs and expectations of various stakeholders
• Present to key stakeholders, such as approach, data requirements, interim findings, and final solution architecture and infrastructure

Qualifications:

• Minimum six years of recent professional experience working in advanced analytics and data science; minimum two years of recent experience managing teams and delivering complex and critical projects
• Bachelor's degree from an accredited college/university in a relevant STEM field such as data science, computer science, engineering, mathematics, physics and other related fields
• Extensive experience in AI/ML algorithm development and data analysis including at least one of the following: NLP, time-series analysis, predictive modeling; experience with scripting, data structures and algorithms and ability to work with large amounts of data
• Experience in a statistical programming language (for example, R or Python) and related data science / machine learning packages (for example, Pandas, Scikit-learn, Pytorch, Transformers)
• Excellent communication, written, presentation, and problem-solving skills
• Previous technical client service experience preferred
• Ability to travel as required (based on location and clients served)

KPMG complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, the firm is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year the firm publishes a calendar of holidays to be observed during the year and provides two firmwide breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at "Benefits & How We Work".

Follow this link to obtain salary ranges by city outside of CA:

KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our client, a leader in data-driven business solutions, is seeking a highly skilled Senior Data Scientist with expertise in predictive analytics to join their innovative team in Dallas, Texas, US . This role is integral to developing sophisticated models that drive business decisions, optimize operations, and uncover new growth opportunities. You will leverage advanced statistical techniques, machine learning algorithms, and big data technologies to extract actionable insights from complex datasets. The ideal candidate possesses a strong quantitative background and a passion for solving challenging business problems.

Key Responsibilities:

• Design, develop, and deploy advanced predictive models using machine learning techniques (e.g., regression, classification, clustering, time series forecasting).
• Clean, transform, and prepare large, complex datasets for analysis and modeling.
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Evaluate model performance, conduct rigorous testing, and iterate on models to improve accuracy and robustness.
• Communicate findings and insights effectively to both technical and non-technical stakeholders through visualizations and clear explanations.
• Collaborate with business stakeholders to understand their needs and translate them into data science projects.
• Mentor junior data scientists and contribute to the development of best practices within the data science team.
• Stay current with the latest research and advancements in machine learning, artificial intelligence, and data science.
• Identify opportunities to apply data science techniques to solve business challenges and drive innovation.
• Ensure the ethical and responsible use of data and models.

Required Qualifications:

• Master's or Ph.D. in Statistics, Data Science, Computer Science, Mathematics, Economics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Scientist or in a similar quantitative role, with a strong focus on predictive modeling.
• Proficiency in programming languages commonly used in data science, such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) or R.
• Extensive experience with SQL for data extraction and manipulation.
• Strong understanding of various machine learning algorithms and their applications.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong data visualization skills (e.g., Matplotlib, Seaborn, Tableau, Power BI).
• Excellent written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Ability to work independently and collaboratively in a team environment.

This is an exceptional opportunity to contribute to impactful data-driven initiatives and shape the future of predictive analytics within a leading organization.