Data Scientist

Data Scientist - Consumer Analytics

Growth through diversity, equity, and inclusion. As an ethical business, we do w...

Location

India

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.)
Familiarity with customer analytics DS concepts or advanced forecasting
Model hyperparameter tuning
Model validation frameworks
Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation
Fluency in Python, basic working knowledge of SQL
Knowledge of specific DS/ML libraries
Solid experience in one of the cloud computing platforms (Databricks or GCP or Azure)
Basic computer programming skills and familiarity with programming concepts
Strong business acumen

Job Responsibility

Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
Analyzing and interpreting the findings
Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes
Pre-sales activities (at senior consultant level)

What we offer

Stable employment
“Office as an option” model
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Internal Gallup Certified Strengths Coach to support your growth
Grow as we grow as a company

Sr Data Scientist

We are offering an exciting opportunity for a Sr Data Scientist based in Plano, ...

Location

United States , Plano

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proficiency in Data Mining Techniques
Must possess a deep understanding of Budget Processes
Should be highly skilled in Quantitative Analysis
Experience in Financial Modeling is highly desirable
Knowledge of SQL is a must
Proficiency in SAS is required
Must be adept at using Excel
Experience with Access is necessary

Job Responsibility

Apply advanced statistical analytics to assess future risks, opportunities, and effectiveness, translating results into solutions enhancing decision-making
Manage analytics regarding loan performance, including delinquency and credit losses, identify key drivers, and develop forecast expectations
Conduct innovative research projects, encapsulating project design, data collection and analysis, summarization of findings, and presentation of results
Utilize your skills in SQL, SAS, Excel, and Access to facilitate data analysis and financial modeling
Apply your knowledge of consumer lending business to produce advanced analytical material for discussions with cross-functional teams to understand complex business objectives and influence solution strategies
Interact with stakeholders to understand their business questions, craft methodologies to mine/analyze datasets, and deliver insightful recommendations
Use data mining techniques to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights
Participate in budget processes, providing quantitatively-backed recommendations and insights

What we offer

Access to top jobs
Competitive compensation and benefits
Free online training
Medical insurance
Vision insurance
Dental insurance
Life insurance
Disability insurance
401(k) plan

Fulltime

Senior Manager, Marketing Science

The Sr. Manager of Marketing Science drives and executes strategic initiatives t...

Location

United States , Bannockburn

Salary:

137000.00 - 215270.00 USD / Year

BioLife Plasma Services

Expiration Date

Until further notice

Requirements

Bachelor’s and/or master’s degree in any area of social science, business, marketing, advertising, or a closely related field
Experience with data analytics from end-to-end, i.e., including ideation, proposal creation, getting stakeholder buy-in, gathering requirements, designing analytics models/solutions, building prototypes, and working with IT/Data Science teams to deploy and scale solutions
7+ years of experience in advanced analytics and statistical modeling in the areas of business performance analysis, forecasting, promotion and media effectiveness and optimization, and consumer behavior
Excellent verbal and written communication and presentation skills. Able to communicate effectively to all levels of the organization, including senior leadership
Bring a growth mindset, curiosity, positivity, intuitive thinking, and a passion for excellence
Extensive experience across many areas of marketing science
MMM, MTA, Loyalty, Website, Surveys, Paid/Owned/Earned Media
Experience with SQL, Python, and R for data analysis and model development
Strong analytical skills with a solid foundation in many of the following statistical and AI/ML methods: regression analysis (continuous, categorical, survival, time-series, and count models, etc.)
classification (CART, SVM, Neural Networks, etc.), clustering (k-means/medoid, hierarchical, self-organizing maps, etc.), and other AI/ML techniques

Job Responsibility

Lead marketing science initiatives in the development and execution of advanced analytics to support marketing strategies and goals
Provide thought leadership on marketing measurement techniques, including the trade-offs between controlled experiments, natural experiments, and multivariate statistical models for different situations
Partner with our media agency to ensure we are maximizing the output of our media mix model (MMM) partner
Deep understanding and experience with creating and managing marketing attribution solutions, i.e., multi-touch attribution (MTA). Ability to build/maintain in-house solutions and/or work with outside partners as necessary
Identify and maintain marketing analytics key performance indicators (KPIs) to track and measure performance
Partner with data scientists, IT, and consultants to develop advanced analytical models and dashboards related to marketing
Ability to perform statistical analyses and tests to quantify the business value of an opportunity
Familiarity with AI/ML applications in marketing
Ensure the accurate and timely delivery of marketing performance reports and insights
Able to translate data into contextualized insights that can be shared across the business

What we offer

Medical, dental, vision insurance
401(k) plan and company match
Short-term and long-term disability coverage
Basic life insurance
Tuition reimbursement program
Paid volunteer time off
Company holidays
Well-being benefits
Up to 80 hours of sick time per calendar year
Accrue up to 120 hours of paid vacation (for new hires)

Fulltime

New

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologie...

Location

United States , New York

Salary:

175420.00 - 199650.00 USD / Year

Lead Data Scientist - Agentic AI - Patient Safety

We’re building a world of health around every individual — shaping a more connec...

Location

United States

Salary:

130295.00 - 284280.00 USD / Year

CVS Health

Expiration Date

March 15, 2026

Requirements

5+ years of experience in advanced analytics, applied AI/ML, or decision science, with significant work in healthcare, pharmacy, or patient safety
3+ years of hands‑on experience building and deploying solutions with LLMs, generative AI, or conversational AI frameworks (e.g., LangChain, AutoGen, CrewAI, RAG), including prompt engineering, fine‑tuning, safety guardrails, and human‑in‑the‑loop workflows
prior NLP/ML experience before LLMs is strongly valued
5+ years of programming experience in Python and SQL, with experience deploying AI solutions in cloud environments (GCP, AWS, or Azure) and integrating with enterprise data platforms
5+ years’ experience in at least one area of advanced modeling for patient safety and pharmacy operations: predictive modeling for medication safety, medication error detection, non‑adherence prediction, time‑series forecasting, causal inference, or reinforcement learning for workflow optimization
3+ years’ experience translating complex AI and safety analytics into measurable clinical and business impact, including working with pharmacy leaders, clinical safety, and compliance partners
3+ years’ experience leading end‑to‑end AI solution delivery: from data curation and model development through validation, deployment, monitoring, and scaled adoption across retail pharmacy locations
Demonstrated ability to communicate complex concepts to technical and non‑technical stakeholders, with a track record of building intuitive tools for pharmacists, technicians, clinicians, and call‑center agents
Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline

Job Responsibility

Building and scaling generative AI and agentic AI solutions that enhance medication safety, strengthen clinical decision‑making, and improve pharmacy workflows
Designing and executing a safety‑first, consumer‑centric analytics strategy powered by AI agents and LLMs that integrates prescribing, dispensing, adherence, and engagement data to deliver proactive insights and closed‑loop support for pharmacy teams
Partnering with pharmacy operations, clinical, digital, and technology teams to ensure our tech‑enabled pharmacy remains powered by people, supporting colleagues with intelligent tools while advancing CVS Health’s purpose to simplify health care and improve the health and well‑being of those we serve

What we offer

Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance

Fulltime

Data Scientist 3

The Supply Chain Data Scientist is a key contributor to the team developing deci...

Location

India , Chennai

Salary:

Not provided

Comcast Advertising

Expiration Date

Until further notice

Requirements

5+ years of advanced Supply Chain Data Science experience, ideally within Telecom, CPG, or retail replenishment
Master’s degree in operations research, Statistics, Supply Chain, Engineering, Computer Science, or related discipline
Strong experience in Supply Chain Network Optimization and Inventory Optimization, including mathematical modeling and scenario evaluation
Proficiency with optimization tools such as Gurobi, AMPL, or similar solvers/modeling frameworks
Experience with BI/reporting tools such as Tableau, Power BI, or QlikView
Proven ability to apply data science and optimization techniques to deliver measurable business impact
Exceptional communication and collaboration skills, able to partner effectively with technical and business teams
Experience in consumer goods or retail environments leveraging advanced modeling to drive operational outcomes
Flexibility to collaborate with US based teams and support critical work aligned to U.S. time zones
Knowledge of demand planning, forecasting processes, and related metrics (forecast accuracy, bias, demand attainment) is a plus

Job Responsibility

Design and optimize Linear Programming, Mixed‑Integer Programming, and Simulation models for Supply Chain network, capacity, and inventory decisions
Develop and evaluate advanced optimization and OR techniques to solve complex business problems
Perform data wrangling, programming, and statistical analysis to support optimization and ML initiatives
Build and validate ML models that enhance forecasting, classification, and decision‑making
Create training materials and documentation to help teams apply optimization and analytics tools
Monitor Supply Chain KPIs to identify opportunities to refine optimization and statistical models

What we offer

Paid Time off
Physical Wellbeing benefits
Financial Wellbeing benefits
Emotional Wellbeing benefits
Life Events + Family Support benefits

Fulltime

Weapons System Analyst Jr. Level

Conduct All-Source analytic production of foreign military ground systems includ...

Location

United States , Quantico

Salary:

Not provided

AEVEX Aerospace

Expiration Date

Until further notice

Requirements

Strong analytical skills with the ability to synthesize complex information from disparate sources
Knowledge of technical intelligence operations/trends, functions and collaboration supported by SIPRNet and SCINet
Working knowledge and understanding of Foreign Military Operations
Proficiency in intelligence analysis methodologies, including link analysis, trend analysis, and predictive modeling
Familiarity with intelligence community standards, tradecraft, and reporting formats
Excellent written and verbal communication skills
Demonstrated ability to work independently and collaboratively in a fast-paced, dynamic environment
High School Diploma Required
Technical Certification/Degree preferred but not required
1-3 years all source analysis work (Military, Law Enforcement, IC Preferred)

Job Responsibility

Analyze foreign precision weapon systems and indirect fire weapon platforms to forecast future technologies, identify new applications of mature technologies, and assess the impact of technology transfers
Work with engineers, scientists, and/or modelers on foreign weapons processes, capabilities, and dual-use technologies
Analyzes and assesses current and future foreign, lethal and non-lethal, weapon systems including, but not limited to, system capabilities, vulnerabilities, production, stockpile, deployment, proliferation, and impact to U.S. and Coalition forces worldwide
Conduct all-source analysis to evaluate foreign military systems and technologies
Conduct research, create intelligence products, create intelligence estimate assessments, and conduct intelligence briefings on request based on MCIA’s Program of Analysis (POA) and customer-driven requests for information (RFIs)
Collect, analyze, interpret, evaluate and research using tools, techniques, methodology and software
Produce and deliver written intelligence assessments and briefings to support consumers at the tactical, operational, and strategic level as assigned
Maintain situational awareness of and analyze the assigned portfolio
Conduct research to determine current and future foreign capabilities
Follow technology transfer and its military impact and ability of recipient countries to assimilate transferred technology

What we offer

401(k)-retirement plan
comprehensive Medical, Dental, Vision, Disability and Life insurance group coverage with a portion of the premiums paid by the company
professional development funds
an Employee Assistance Plan (EAP) with counseling, legal help, child and elder care support

Fulltime

New

Loan Originator

Loan Originator is responsible for developing and managing client relationships ...

Location

United States , Los Angeles

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

High school diploma or equivalent required
associate’s or bachelor’s degree in finance, business, or a related field preferred
Prior experience in loan origination, banking, or financial services is highly desirable
Strong sales, relationship-building, and negotiation skills
Excellent written and verbal communication abilities
Detail-oriented with strong organizational skills and the ability to manage multiple clients simultaneously
Familiarity with lending regulations (e.g., RESPA, TILA, HMDA, TRID) preferred
Proficiency with banking software and Microsoft Office Suite

Job Responsibility

Proactively source and generate new loan business through community involvement, networking, marketing campaigns, and referrals
Evaluate applicants' financial backgrounds, needs, and creditworthiness using bank guidelines and lending standards
Explain loan options, terms, and requirements to prospective borrowers, helping them select the best financial products to meet their goals
Collect and review necessary financial documentation from applicants to start the loan process
Complete loan applications and submit accurate, timely paperwork to the processing and underwriting team
Maintain regular communication with clients throughout the application and approval process, providing updates and resolving questions or concerns
Meet or exceed established sales and customer satisfaction goals
Stay current on loan products, industry trends, market conditions, and regulatory requirements
Develop and maintain relationships with realtors, builders, and related professionals to cultivate referral business opportunities
Ensure all loan files are maintained and processed in compliance with bank policies and government regulations

What we offer

medical, vision, dental, and life and disability insurance
eligible to enroll in our company 401(k) plan

Data Scientist - Consumer Analytics, Forecasting

Lingaro

Location:
India

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 18, 2026

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