Associate Data Scientist Job at Kantar (Cape Town)

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 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

Accountable to 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 Scientist

This role has been designed as ‘Onsite’ with an expectation that you will primar...

Location

Israel , Ra'anana

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree preferred or Associate degree holder (technical field) with 5-7 years working experience in related fields desired
Thorough knowledge of company products and services offerings, company organization, competition, third party products and market trends
Broad knowledge of corporate organization, job, and policies
Comprehensive business, technical or functional knowledge at an expert level
Communicate tactfully with diplomacy up to senior management levels within an organization
Active listening skills and ability to adjust messages to audience level
Problem-solving skills (proactive, reactive and creative)
Able to employ exemplary consulting skills by becoming a trusted advisor to the customer and providing clarity to solution determination
Well versed in core technical competencies and peaked in some technical area(s) intermediate skills in project management, communication, analysis and presentation
Provide suggestions for operational efficiencies

Job Responsibility

Apply advanced technical knowledge to operate one or more technology areas (e.g. server administration, technical security management, performance management) or customer groups that are critical or high-risk
Integrate technical knowledge and business understanding to create solutions for customers
Resolve single- and cross- technology incidents independently
Work with team members to resolve unusually complex or cross- technology incidents
Proactively and reactively look for solutions to prevent problems from occurring in team/technology area
Apply company solutions to meet highly complex customer needs
Identify additional services that could lead to future service revenue growth
Provide technical consulting during contract renewal discussions
Build and maintain strong relationship up to senior management level in assigned accounts
Design and deliver support solutions using specific industry knowledge and expertise

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Data Scientist 2

Join us on this journey as we execute this mission-critical contract providing h...

Location

United States , Central Maryland

Salary:

122000.00 - 168000.00 USD / Year

RealmOne

Expiration Date

Until further notice

Requirements

Bachelor’s Degree with 3 years of relevant experience, associate’s degree with 5 years of experience may be considered for individuals with in-depth experience that is clearly related to the position
Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence)
Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering
Position requires active Security Clearance with appropriate Polygraph

Job Responsibility

Using AI/ML to impact and assess large datasets, including data modeling, computational mathematics, qualitative and quantitative techniques, data visualizations, and AI/ML model development and deployment
Be well-versed in advanced statistical and predictive modeling, and have large-scale data processing (e.g. Spark, cloud data platforms) and Python and SQL processing
Create data visualization using Tableau, PowerBI, or Python Libraries
Develop automated analytics workflows
Translate complex data into strategic insights
Make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge
Use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in Government data holdings
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
Effectively communicate complex technical information to non-technical audiences

What we offer

Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums
Tax-advantaged health savings account available with generous employer contribution
Dental + Vision: 100% employer-paid for employees and family, with a buy-up option available
401K – 10% TOTAL CONTRIBUTION – 5% safe harbor – 5% annual profit share (both immediately vested!)
4 weeks starting PTO – 11 federal holidays + 2 floating holidays – Paid hours for company-required training
Access to FREE 24/7 learning via Udemy
Opportunities to participate in tech councils, industry initiatives, etc.
$7,500 annual Educational & Professional Development Assistance
Paid parental leave
Annual swag drops

Fulltime

Data Scientist

At Applied Network Solutions (ANS), we bring together some of the most curious m...

Location

United States , Aurora

Salary:

100000.00 - 165000.00 USD / Year

Applied Network Solutions

Expiration Date

Until further notice

Requirements

Active TS/SCI clearance with Polygraph
A bachelor’s degree and 10 years of relevant experience. An associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.
Devise strategies for extracting meaning and value from large datasets.
Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
Employ some combination (2 or more) of the following areas: 1. Foundations (Mathematical, Computational, Statistical) 2. Data Processing (Data management and curation, data description and visualization, workflow and reproducibility) 3. Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations)

Job Responsibility

plan, analyze, design, develop, test, secure, integrate, implement, operate, and maintain the custom solutions that ANS delivers

What we offer

Family Medical, Dental (w/ adult orthodontia) and Vision coverage
Pet Discount Program
PTO (Paid Time Off)
Maternity/ Paternity Leave
Supplemental Military Leave Pay
11 Paid Holidays
401(k) plan with 6% Company Contribution
Generous Professional Development Program
100% Employer paid Short- and Long-Term Disability
100% Employer paid Life Insurance

Senior People Data Scientist

Atlassian is a distributed-first company allowing employees to choose their pref...

Location

United States , San Francisco

Salary:

175100.00 - 233400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s degree in organizational psychology, organizational development, HR/business analytics or a related field plus 4 years (48 months) of professional experience in data science and analytics, including experience in evidence-based employee engagement and wellbeing programs
experience designing, implementing, analyzing, and evaluating employee engagement, other lifecycle survey programs, and intervention strategies (e.g., coaching) in support of employee engagement and wellbeing initiatives
experience applying knowledge of advanced statistics with demonstrated ability to identify and conduct analyses using multiple sources of organizational data to provide accurate, thoughtful actionable insights for optimizing engagement and team effectiveness
demonstrated expertise in statistical analysis techniques such as regression, longitudinal analysis, factor analysis, clustering, hierarchical linear modeling
experience communicating research insights and recommendations to executives, HR, and functional leaders to inform and drive action
experience using statistical packages such as R, Q/DisplayR or SPSS

Job Responsibility

Apply subject matter expertise in the employee experience along with strong quantitative analysis skills to drive the experimental design of the survey program, its implementation, analysis (including advanced statistical analyses), and reporting for the company’s key employee engagement initiative
design, implement, analyze, and evaluate employee engagement, other lifecycle survey programs, and intervention strategies (e.g., coaching) in support of employee engagement and wellbeing initiatives
apply knowledge of advanced statistics with demonstrated ability to identify and conduct analyses using multiple sources of organizational data to provide accurate, thoughtful actionable insights for optimizing engagement and team effectiveness
advise on and guide the development of associated behavior change offerings at the individual, team, and organization level
partner with global teammates, leaders, the people team, and other stakeholders across the organization to continue to understand current and emerging engagement challenges
meaningfully interpret data relative to business objectives applying statistical analysis techniques such as regression, longitudinal analysis, factor analysis, clustering, hierarchical linear modeling and statistical packages such as R, Q/DisplayR or SPSS
communicate analyses and research insights and recommendations through concise, credible communications for both technical and non-technical audiences, such as executives, HR, and functional leaders, to inform and drive action, demonstrating strong presentation skills when explaining data and connecting it to potential actions
proactively identify and prioritize opportunities for employee engagement, wellbeing, and related research, driving the team’s ongoing research roadmap
prioritize ethical practices in the management, analysis and reporting of employee-related data, including the communication of sensitive insights to executives and leaders
engage different stakeholders and conduct focus groups

What we offer

Health and wellbeing resources
paid volunteer days
additional community engagement benefits

Fulltime

Weather Data Scientist

Appian Way Energy Partners (AWEP) is a Cambridge, MA-based energy trading and an...

Location

United States , Cambridge

Salary:

Not provided

Appian Way Energy Partners

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in meteorology, Atmospheric Science, Applied Math, or related field
2+ years of experience in operational weather forecasting or applied weather analytics
Expertise in short-term numerical weather prediction and interpretation for North America region
Able to design, build and maintain own models (python strongly preferred)
Fluency in weather data analysis tools and ability to work with large datasets
Strong communication skills and the ability to present complex information clearly

Job Responsibility

Work directly with short-term traders to identify weather-based trading strategies
Assist team in building and maintaining energy price valuation models that incorporate weather forecast data and power market fundamentals to inform directional and relative value trading decisions
Quantify how evolving weather scenarios impact net load, congestion, renewable output, and ultimately price movements across US electricity markets
Integrate custom and external weather model outputs (ECMWF, GFS, HRRR, etc.) into renewable energy and demand forecasts Meteorological and Data Science Support of Long-Term Trading (i.e. FTR and OTC power markets)
Track extreme weather risks, their forward market implications and associated trading opportunities
Consult with traders on longer-term weather patterns (monthly to seasonal) and help frame expectations around load variability, hydrology, wind/solar patterns, and probabilistic outcomes
Collaborate with traders and analysts on improving fundamental optimal power flow models via improved load forecasting, renewable modeling and scenario analysis
Develop automated tools for identifying historical congestion pattern correlations to market fundamental drivers including weather factors and power fundamentals such as transmission outages

What we offer

Competitive base salary with performance-based bonuses and PTO
Health, dental, vision and disability insurance plans
401k safe harbor match and profit sharing
Visa sponsorship

Senior Data Scientist - Literature

Help bring science to life and join a leading pharmaceutical company to play a k...

Location

Switzerland , Basel

Salary:

Not provided

Proclinical

Expiration Date

Until further notice

Requirements

Degree in medicine, pharmacy, or natural sciences
Experience in information science, particularly within pharmacovigilance and drug development
Strong knowledge of medicine, drug development, and biomedical literature databases
Proficiency in scientific data evaluation, interpretation, and synthesis
Excellent written and verbal communication skills, with the ability to explain search strategies effectively
Expertise in classical text searching and familiarity with literature sources and databases
Ability to build strong working relationships in a cross-functional, international environment
Self-motivated, detail-oriented, and capable of prioritizing tasks effectively
Fluent in English, both written and spoken

Job Responsibility

Conduct ad-hoc literature searches in biomedical databases to identify adverse drug reactions and risks associated with medicinal products and devices
Develop, test, document, and maintain search profiles for various safety and efficacy reports, including DSURs, PBRERs, and MDIRs
Ensure timely and accurate delivery of search results while adhering to standard operating procedures
Collaborate with internal stakeholders to define search criteria and maintain effective relationships
Review and validate the plausibility of literature search results
Actively contribute to the Safety Literature Group by sharing knowledge and best practices
Create and deliver training materials on retrieval and reporting topics for team members and stakeholders
Proactively identify opportunities to improve processes, methods, and technologies
Address and escalate any issues related to literature searches as needed

Associate Data Scientist

Kantar

Location:
South Africa , Cape Town

Category:
-

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 10, 2026

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Location:South Africa , Cape Town

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