Senior Data Science & Analytic Expert Job at E-trink Global (Istanbul)

Senior Data Scientist - Workforce Analytics

As a Senior Data Scientist on our Team, you will partner closely with key busine...

Location

United States , San Francisco

Salary:

145300.00 - 233400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

5+ years of experience working with data
BS degree in Statistics, Mathematics, Economics, Computer Science or other quantitative field
experience in building business impacting analytic solutions
experience using data to influence operational teams
track record of successfully driving analytic initiatives
ability to bridge the gap between business problem and data
strong communication skills (non-technical) and core tech skills
ability to learn new things quickly
ability to take an ambiguous assignment and move rapidly to deliver iterative value
ability to mentor / grow less experienced analysts

Job Responsibility

Work with a strong group of data scientists to advance core data artifacts
develop strong collaborative partnerships with business and operations leaders
provide technical expertise in data visualization, deep business acumen, stakeholder engagement and operational insights via analysis
work with a cross functional team to drive improvement and efficiency
use compelling data, deep business acumen and exceptional communication to drive business strategy and execution
address business challenges, performance bottlenecks and growth opportunities with analytic solutions
propose rapid experiments or A/B tests to assess the effect of new strategies or initiatives
play the role of analytic visualization expert in cross functional teams

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Senior Data Science Analyst

The Data Science Senior Analyst is a seasoned professional role. Applies in-dept...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5-8 years experience in business and data analysis, process improvement and project management
Ability to effectively use complex analytical, interpretive and problem solving techniques
Demonstrated interpersonal, verbal and written communication skills
Methodical attention to detail
Experience using tools for statistical modeling of large data sets
Hands on coding experience with Python, SQL is mandatory (proficiency with Libraries such as Pandas, NumPy required)
Experience using tools for statistical modeling of large data sets
Expert background in utilizing SQL/Python to extract, manipulate, and analyze datasets
Preferable experience with tools such as Tableau, PySpark, Airflow, Git, JIRA and Confluence
Experience in Data Modelling, ETL technologies, Data pipeline

Job Responsibility

Developing and implementing advanced analytical models and solutions
Strong coding skills:Proficiency in Python, PySpark, and SQL for data analysis and model development
Big data expertise:Working knowledge of big data platforms like Cloudera and Databricks
Model development:Experience in building and deploying machine learning and AI models
Generative AI knowledge:Familiarity with generative AI techniques and their applications
Collaboration:Working with cross-functional teams to identify opportunities and deliver data-driven insights
Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
Consults with business clients to determine system functional specifications

What we offer

Extensive on-the-job training and exposure to senior leaders
More traditional learning
Opportunity to give back and make a positive impact through volunteerism

Fulltime

Senior Data Scientist

The Senior Medical Data Scientist will play a vital role in supporting Global Me...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Engineering, Statistics, or a related quantitative field and 2+ year(s) of experience in data analytics or data science
OR, Master’s degree in Computer Science, Engineering, Statistics, or a related quantitative field and 5+ years of experience in data analytics or data science
OR, Bachelor’s degree in Computer Science, Engineering, Statistics, or a related quantitative field and 7+ years of experience in data analytics or data science
Experience in data science, statistics, machine learning, or advanced analytics, with hands-on application of statistical techniques such as hypothesis testing, regression analysis, clustering, and classification
Demonstrated hands-on expertise in data science, statistical modeling, machine learning, advanced predictive modeling, NLP, or related fields, with successful delivery of end-to-end solutions
Advanced programming in SQL and Python (R a plus)
comfort working in Databricks or similar environments
Strong storytelling and presentation skills
ability to translate data into clear, compelling insights

Job Responsibility

Design and build high-impact projects that address complex medical questions across therapeutic areas, applying advanced data science methods (predictive modeling, NLP, LLMs, machine learning, causal inference)
Conduct end-to-end data science projects across structured and unstructured datasets (e.g., HCP sentiment, scientific engagement data, publications, CRM/field medical data) using Python, R, SQL, Tableau, Power BI, or similar platforms
Drive the design, application, and evaluation of test-and-learn approaches — including causal inference methods, advanced A/B testing, and pilots, with accountability for methodological rigor and actionable insights
Partner with business leaders and stakeholders to define problem statements, set project scope, and design and conduct medical data science projects such as MSL engagement optimization, MSL note sentiment analysis using LLMs, and digital engagement impact measurement, turning complex data into insights that enable more effective field medical activities
Design and optimize scalable data pipelines in collaboration with engineering teams, ensuring reproducibility, robustness, and compliance in deployment workflows
Translate complex model outputs into clear, actionable insights and recommendations and deliver compelling presentations, reports, and visualizations to medical and cross-functional leadership teams
Serve as a technical SME (subject matter expert) in data science, providing thought influencing designing and methodology choices across the MDnA team
Passion to continuously learn, evaluate and introduce emerging technologies (e.g., Generative AI, LLMs, advanced A/B testing frameworks) and act as a motivational peer to strengthen Amgen’s data science toolbox
Maintain best practices in reproducibility, documentation, version control, and model governance across teams

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

Senior Data Scientist

Seeking a talented Senior Data Scientist to join our Data Science team, dedicate...

Location

United Kingdom , London; Glasgow

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Extensive experience in delivering Data Science projects in a commercial context
Expert in machine learning techniques (e.g., clustering, classification, regression, NLP)
Ability to write production standard code in Python with a strong grasp of coding principles
Ability to articulate technical findings in business terms and demonstrate value to stakeholders
Familiarity with AWS data science services, including SageMaker
Experience working with big data environments, particularly using PySpark
Proficiency in data visualization software, ideally Tableau, with exposure to QlikView, PowerBI, or similar tools

Job Responsibility

Lead Data Science projects leveraging your deep technical skillset in machine learning to guide and mentor other members of the team
Develop machine learning models that deliver commercial value for the Corporate Bank
Critique and suggest ways in which technical methodologies can be improved on projects within the team
Verify that outputs being produced by the team are technically sound and accurate
Build relationships with senior stakeholders across the bank to seek out opportunities to add value through Data Science
Work closely with our equivalent ML Ops team in technology to streamline the path to production for successful projects
Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification
Execution of data cleansing and transformation tasks to prepare data for analysis
Designing and building data pipelines to automate data movement and processing
Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems

Fulltime

Avp Mgr-data Analytics

The AVP Mgr–Data Analytics role is critical to advancing the Moody's Ratings Bus...

Location

Costa Rica , Heredia

Salary:

Not provided

Moody's

Expiration Date

Until further notice

Requirements

Proven track record of successfully leading and managing a team of analysts, including setting objectives, driving performance, and fostering professional development to achieve organizational goals
Advanced analytical skills with the ability to translate complex data into actionable insights for strategic decision-making
Demonstrated ability in developing analytical models using business intelligence tools such as Tableau or Power BI
Advanced proficiency in leveraging data visualization tools and analytics platforms to support business intelligence and operational improvements
Experience extracting and transforming data from multiple sources to support dashboard development
knowledge of Alteryx is preferred
Comprehensive understanding of programming languages like SQL, R, and/or Python, with experience leveraging various statistical analyses and machine learning techniques (e.g., data mining, regression, time-series analysis)
Strong problem-solving skills, with experience in business process analysis, root cause analysis, and strengthening operational controls
Expert-level organizational and time-management abilities, ensuring delivery of high-quality work within tight deadlines in a fast-paced environment
knowledge of Jira is preferred

Job Responsibility

Lead and manage a team of analysts, providing clear direction, coaching, and performance feedback to enable individual and team success
Oversee planning, resource allocation, prioritization, roadmap management, and delivery, achieving timely completion of high-quality work within established deadlines
Monitor progress and quality of deliverables, driving adherence to deadlines and organizational standards
Collaborate with cross-functional stakeholders to understand business needs, translate them into analytical requirements, and present actionable recommendations to senior leadership, ensuring effective communication and coordination across cross-functional teams to support decision-making
Establish and maintain best practices for data analysis, reporting, and visualization, promoting consistency and accuracy across all outputs
Leverage various statistical analyses and machine learning techniques (e.g., data mining, regression, time-series analysis, decision trees) to generate insights and recommendations for stakeholders
Develop and implement predictive and prescriptive analytical models using business intelligence tools to discover historical patterns, forecast trends, and identify potential risks
Foster a culture of continuous improvement by identifying opportunities to execute analytical strategies that align with organizational goals, ensuring data-driven insights support business decisions
Establish and maintain data quality standards, implementing processes to guarantee compliance with data governance, data accuracy, reliability, and consistency while protecting sensitive data
Improve testing standards to drive data integrity, ensuring back-end data connections and workflows are efficient and stable while maintaining reliable front-end reports

Senior Data Scientist, Decisions

Rocket Money is looking for a Senior Data Scientist to drive marketing efficienc...

Location

United States , San Francisco, CA; Washington, D.C.; New York City, N.Y.; Silver Spring; Miami; Denver

Salary:

180000.00 - 220000.00 USD / Year

Truebill

Expiration Date

Until further notice

Requirements

6+ years of professional experience in data science
Proficiency in SQL
Proficiency in at least one scripting language
Proficiency in statistical modeling
Proficiency in engineering scalable experimentation solutions
Expert level experiment design and assessment skills
Direct experience building production grade tooling for operational use by teams of internal decision makers
Experience driving marketing and product strategy with experimental and observational data
Experience working with engineering teams to design optimal feedback signals between applications and ad networks or build experimentation platforms
Proven ability to collaborate across teams and communicate technical insights effectively

Job Responsibility

Lead internal marketing effectiveness measurement and estimation approaches
Lead projects from start to finish
Design and conduct experiments to estimate the impact of marketing and product strategies
Lead a systematic marketing and product experimentation program
Contribute to product experimentation via expert level experimental design, assessment, and collaboration with product managers
Work with data engineering and analytics teams to build scalable and durable machine learning to data analytics pipelines
Build, test, and deliver internal facing predictive tools
Effectively design and assess experiments for a variety of user facing experiences
Mentor other members, participate in code reviews, and ensure quality in production systems
Work with engineering teams to design and architect predictive feedback mechanisms for digital ad networks and add new features to our in-house experimentation engine

What we offer

Health, Dental & Vision Plans
Life Insurance
Long/Short Term Disability
Competitive Pay
401k Matching
Team Member Stock Purchasing Program (TMSPP)
Learning & Development Opportunities
Tuition Reimbursement
Unlimited PTO
Daily Lunch, Snacks & Coffee (in-office only)

Fulltime

Senior Data Scientist - Value & Access

As the Data Scientist at Amgen, you will be responsible for developing and deplo...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree in computer science, statistics or STEM majors with a minimum of 5 years of Information Systems experience
Bachelor’s degree in computer science, statistics or STEM majors with a minimum of 7 years of Information Systems experience
Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription
Experience with one or more analytic software tools or languages like R and Python
Strong foundation in machine learning algorithms and techniques
Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification

Job Responsibility

Drive full lifecycle of Data Science projects delivery and ability to guide data scientists in shaping the developing the solution and act as a subject matter expert in solving development and commercial questions
Assume the role of business owner and manage the Proprietary AI engine built to optimize Copay
Support Amgen Gross to Net and other V&A Transformation initiatives
Ensure models are trained with the latest data and meet the SLA expectations
Manage AI tool’s road map, working with a global cross functional team
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information
Perform exploratory and targeted data analyses using descriptive statistics and other methods
Model/analytics experiment and development pipeline leveraging MLOps
Oversee efforts of 1-3 associates, including setting performance standards, managing their staffing, and monitoring performance

Senior Data Science & Analytic Expert

E-trink Global

Location:
Turkey , Istanbul

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 20, 2026

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

Similar Jobs for Senior Data Science & Analytic Expert