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

Senior Data Scientist

At apetito, we are on a mission to make data a core driver of our strategy. As a...

Location

United Kingdom , Trowbridge

Salary:

Not provided

apetito UK

Expiration Date

April 06, 2026

Requirements

3+ years of data science or advanced analytics experience in consumer business, e-commerce, marketing analytics, or consulting
Degree in a quantitative field: Data Science, Statistics, Mathematics, Computer Science, Physics, Engineering, Economics, or related STEM discipline
Strong programming skills in Python or R
Proficiency in SQL for complex data extraction and transformation
Hands-on experience with predictive modelling techniques: regression, classification, clustering, time series forecasting
Excellent communication and storytelling skills: Ability to distil complex analyses into clear, actionable insights for business stakeholders

Job Responsibility

Develop models for customer lifetime value (CLV), churn prediction, demand forecasting, and customer acquisition cost optimization
Build and maintain Marketing Mix Modelling models to optimize marketing budget allocation across channels (digital, TV, direct mail, etc.). Develop attribution models (first-click, last-click, multi-touch) and deliver quarterly acquisition forecasts
Analyse customer consumption patterns, market trends, and geographic distribution to identify growth opportunities and inform market penetration strategies
Design and analyse A/B tests and experiments to measure marketing campaign effectiveness and product optimization initiatives
Extract insights from diverse datasets including transactional data and third-party consumer data
Evaluate product portfolio performance and recommend category optimization strategies based on data-driven insights
Partner with stakeholders across marketing, operations, category management, and logistics to solve complex business problems using statistical modelling and machine learning
Translate complex analytical findings into compelling business narratives for non-technical audiences

What we offer

Competitive salary – accredited Living Wage employer
25 days holiday per year, plus bank holidays
Option to purchase up to 5 additional days holiday per year
Discretionary annual bonus scheme
Pension scheme - employer matched contributions up to 4%
Life assurance scheme worth at least 1x annual salary
Subsidised canteen
Free parking
Free turkey or voucher at Christmas
apetito perks scheme including salary sacrifice options and retail discounts

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

Meta

Expiration Date

Until further notice

Requirements

Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, or a related field
24 months of experience in the job offered or in a Data Science-related occupation
24 months of experience involving: ETL (Extract, Transform, Load) processes
Statistical analysis using R, MATLAB, SPSS, SAS, or Stata
Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics
Communicating and presenting results of data analyses

Job Responsibility

Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
Partner with Product and Engineering teams to solve problems and identify trends and opportunities
Inform, influence, support, and execute our product decisions and product launches
Work across the following four areas: Product Operations: Forecasting and setting product team goals, designing and evaluating experiments, monitoring key product, metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, building key data sets to empower operational and exploratory analysis, and evaluating and defining metrics
Exploratory Analysis: proposing what to build in the next roadmap, understanding ecosystems, user behaviors, and long-term trends, identifying new levers to help move key metric, and building models of user behaviors for analysis or to power production systems
Product Leadership: influencing product teams through presentation of databased recommendations, communicating state of business, experiment results, etc. to product teams and spreading best practices to analytics and product teams
Data Infrastructure: working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL and Python based ETL framework

What we offer

bonus
equity
benefits

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

Meta

Expiration Date

Until further notice

Requirements

Bachelor's degree in a relevant technical field, finance or business discipline, or equivalent practical experience
5+ years of relevant work experience in the energy industry, with a focus on analyzing rates and tariffs, market information, and load profiles to drive business decisions. This experience should preferably be with electric utilities, large energy consumers, energy service providers, or consultancies
Experience of applying quantitative methodologies to analyze the energy market risks and opportunities
Experience analyzing and interpreting energy usage data, electric tariffs, wholesale energy market data, and renewable energy data
Experience collaborating with data engineers and data scientists and building productive cross-functional relationships
Experience working with Finance and Accounting teams
Experience to manage multiple work streams concurrently and prioritize workflows
Proven communication and presentation skills, with the ability to explain complex energy terms and concepts to a variety of audiences

Job Responsibility

Work with Commercial Energy Managers to analyze possible rate structures for new data center locations
Serve as an expert on energy rates and usage for Meta’s growing portfolio of data centers
Create and maintain models to forecast energy usage and analyze electric rate impacts for future data center sites
Conduct comprehensive cost and load analytics to support site selection efforts and new energy agreements
Work with Clean and Renewable Energy Managers to understand financial impact of projects
Build scalable analytical tools to streamline and simplify analytical tasks
Partner with Finance to support deal evaluations and approvals
Engage with Infrastructure stakeholders to track data center design and capacity engineering trends to improve load forecasting methodologies

What we offer

bonus
equity
benefits

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

Location

United States , Menlo Park

Salary:

223354.00 - 240460.00 USD / Year

Meta

Expiration Date

Until further notice

Requirements

Requires a Bachelor’s degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field
24 months of experience in the job offered or in a related occupation
Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for products
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through insights and recommendations
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
Working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, automating analyses and authoring pipelines via SQL and Python based ETL framework

Job Responsibility

Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products
Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
Partner with Product and Engineering teams to solve problems and identify trends and opportunities
Inform, influence, support, and execute our product decisions and product launches
May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure
Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors
Exercise judgment within defined procedures and practices to determine appropriate action

What we offer

bonus
equity
benefits

Fulltime

Data Scientist

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

Location

United States , New York

Salary:

189748.00 - 199650.00 USD / Year

Meta

Expiration Date

Until further notice

Requirements

Master's degree (or foreign degree equivalent) in Computer Science, Information Systems, Analytics, Engineering, Mathematics, Physics, Economics, Applied Sciences or a related field and 2 years of work experience in the job offered or in a related occupation
Experience must include 2 years in the following: Performing quantitative analysis including data mining on highly complex data sets
Data querying language: SQL
Scripting language: Python
Statistical or mathematical software including one of the following: R, SAS, or Matlab
Applied statistics or experimentation, such as A/B testing, in an industry setting
Machine learning techniques
ETL (Extract, Transform, Load) processes
Relational databases
Large-scale data processing infrastructures using distributed systems

Job Responsibility

Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
Partner with Product and Engineering teams to solve problems and identify trends and opportunities
Inform, influence, support, and execute our product decisions and product launches
May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure
Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors
Demonstrate good judgment in selecting methods and techniques for obtaining solutions

What we offer

bonus
equity
benefits

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

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Data Scientist - Consumer Analytics, Forecasting

Data Scientist - Consumer Analytics

Sr Data Scientist

Senior Manager, Marketing Science

Senior Data Scientist

Data Scientist, Analytics

Energy Analyst

Data Scientist

Data Scientist

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

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Data Scientist - Consumer Analytics, Forecasting

Data Scientist - Consumer Analytics

Sr Data Scientist

Senior Manager, Marketing Science

Senior Data Scientist

Data Scientist, Analytics

Energy Analyst

Data Scientist

Data Scientist

Location:
India

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
February 18, 2026