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

Data Scientist, Analytics

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

Location

United States , New York

Salary:

218723.00 - 240460.00 USD / Year

Energy Analyst

Meta designs, builds and operates the most innovative and efficient data centers...

Location

United States , Reston, VA +3 locations

Salary:

132000.00 - 188000.00 USD / Year

We are seeking a Data Scientist (Machine Learning) to develop an advanced foreca...

Location

United States , Los Angeles

Salary:

50.00 - 65.00 USD / Hour

Solomon Page

Expiration Date

Until further notice

Requirements

1–2 years of experience in machine learning model development
Strong understanding of forecasting methods and statistical techniques
Proficiency in Python or R
Experience with data analysis and feature engineering
Ability to work with large historical datasets and diverse data sources
Strong problem-solving and analytical thinking
Ability to explain complex models to non-technical stakeholders
High attention to detail and accuracy

Job Responsibility

Develop and implement machine learning models to forecast consumer demand and spending
Incorporate diverse features such as marketing, film quality, competition, and pricing
Support both early-stage and post-theatrical forecasting models
Ensure model explainability for business stakeholders
Analyze historical datasets including performance, audience metrics, and competitive landscape
Deliver model outputs, accuracy assessments, and recommendations within tight timelines
Provide guidance for integration into weekly forecasting workflows

What we offer

Medical
dental
401(k)
direct deposit
commuter benefits

Fulltime

Data Scientist

We are looking for a Data Scientist to join a fast-moving IT consulting environm...

Location

United States , Atlanta

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Strong programming ability in Python for data analysis, model development, and production-oriented workflows
Hands-on experience creating and assessing machine learning models for predictive analytics and forecasting applications
Practical knowledge of Azure Databricks and Apache Spark, including a solid understanding of core Spark capabilities
Experience with time-series analysis and familiarity with algorithms such as XGBoost, LightGBM, or comparable modeling techniques
Working knowledge of data engineering concepts, including ETL processes, SQL querying, and dataset preparation
Ability to communicate technical concepts to non-technical audiences and explain the business implications of analytical decisions
Background in retail, consumer goods, or closely related industries is strongly preferred
Proven ability to work independently, adapt quickly, and succeed in client-focused environments with changing priorities

Job Responsibility

Build, validate, and refine forecasting and predictive models using Python and modern machine learning frameworks for business-driven use cases
Develop analytical solutions with tools such as scikit-learn, XGBoost, LightGBM, and time-series or deep learning methods based on project needs
Use Databricks and Apache Spark to process large datasets efficiently and support scalable model development workflows
Prepare, transform, and organize data by writing queries, performing ETL tasks, and improving data quality for downstream analysis
Translate technical findings into clear recommendations for clients and stakeholders, emphasizing business impact and user experience
Partner with customer-facing teams to define problem statements, shape data-driven approaches, and deliver actionable insights in a fast-paced setting
Apply product thinking when designing models and analytical outputs to ensure solutions align with customer needs and practical use
Contribute domain knowledge to projects involving retail or consumer goods data, helping tailor models to industry-specific patterns and challenges

What we offer

Medical, vision, dental, and life and disability insurance
Enrollment in company 401(k) plan

Fulltime

Data Scientist

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

Location

United States , Menlo Park

Salary:

223354.00 - 240460.00 USD / Year

Select Country

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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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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Job Posted:
February 18, 2026