Senior Data Scientist Consultant Job at NTT DATA (Plano)

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

Senior Data Consultant

Ivy Partners is a Swiss consulting firm that assists companies in their strategi...

Location

Portugal , Lisboa

Salary:

Not provided

IVY Partners

Expiration Date

Until further notice

Requirements

Between 6 to 10 years of professional experience
strong understanding and experience in data architecture within diverse domains such as finance, purchasing, etc.
deep expertise in managing large datasets
proficient in tools like BPMN 2.0 (preferably using Draw.io or LucidChart)
skilled in building and interpreting conceptual and logical data models
effectively document architecture and business processes
strong ability to perform gap analysis on existing datasets versus group standards
develop and manage a detailed remediation plan
both english and portuguese are required

Job Responsibility

Collaborate with diverse stakeholder communities, including business experts, data engineers, data scientists, and technical architects, to leverage data analytics, AI, and Master Data Management
Structure data platforms optimally for various use cases, ensuring alignment with business needs and governance standards
Develop and standardize conceptual data models, and document business processes in BPMN format to support data consumption
Identify and define critical business processes and associated data stewards or process owners
Assess existing datasets against defined data architecture standards, propose remediation plans, and manage the redesign process to ensure dataset standardization and reusability
Ensure adherence to data governance frameworks, including data risk management policies, data classification, access policies, and retention protocols
Document all relevant details in data catalogs and governance tools like Collibra

What we offer

nurturing environment where everyone is valued
training and opportunities for advancement both in Switzerland and internationally
climate of trust based on transparency, professionalism, and commitment
encouraging innovation
collective is at the heart of our actions
strive to generate a positive impact

Senior Data Scientist

Our Client is Europe’s leading health, sport, and leisure group. The organizatio...

Location

Ukraine; United Kingdom

Salary:

Not provided

ELEKS

Expiration Date

Until further notice

Requirements

5+ years of experience in Data Science
Experience with GenAI technologies (LLMs, agentic AI, agents, Azure OpenAI API)
Advanced level of English

Job Responsibility

Lead the development and improvement of an AI-powered chatbot integrated into a membership ecosystem for iOS and Android
Ensure scalability, security, and a high-quality user experience in production-ready conversational solutions
Design and optimize conversational flows, personalization features, and integration with client documentation systems
Collaborate with client stakeholders (Product Owners, Digital Director, consultants) to align chatbot strategy with business goals
Mentor and guide junior data scientists within the team
Work closely with cross-functional colleagues (Backend, Mobile, QA, BA, DevOps) in an Agile/Kanban delivery model

What we offer

Close cooperation with a customer
Challenging tasks
Competence development
Ability to influence project technologies
Team of professionals
Dynamic environment with low level of bureaucracy

Senior Data Scientist, Experimentation

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park

Salary:

187000.00 - 220000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

Master’s or PhD in a quantitative field (e.g., statistics, economics, mathematics, engineering, natural sciences)
3+ years of experience with A/B testing, causal inference, experimental design, and statistical analysis in a tech environment
Deep expertise in statistical methods such as multivariate testing, adaptive experimentation, bayesian inference and machine learning techniques
Proficiency in Python or R for data analysis and experimentation workflows
Strong communication skills, a collaborative mindset, and a proactive approach to problem-solving

Job Responsibility

Evaluate current experimentation practices across Robinhood and identify areas for improvement
Enhance statistical methodologies underpinning the experimentation platform, including A/B testing and advanced techniques
Partner with engineering to build scalable tools and infrastructure for experimentation
Develop and evangelize best practices for experimentation across cross-functional teams
Consult with data science and product teams to ensure rigorous experimental design and interpretation
Contribute to roadmap planning by identifying high-leverage opportunities for platform development

What we offer

Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime

Senior Data Scientist in Marketing Analytics

Join Ekimetrics, a leading data science and AI solutions provider, as a Senior D...

Location

United States , New York

Salary:

110000.00 USD / Year

Assessfirst

Expiration Date

Until further notice

Requirements

Bachelor or Master's degree in a quantitative discipline (statistics, applied mathematics, computer science, economics, operations research, business/MBA) from a leading academic institution
3+ years of experience in Data Analysis / Modeling / Advanced Analytics / Econometrics in a business setting, preferably in a client-facing consulting-oriented role
Passion for data, extensive knowledge of statistics or applied mathematics, experience using advanced analytical methodologies (e.g., regression analysis)
Digital and Marketing strategy curiosity
Experience with statistical software such as Python, R
Strong knowledge of marketing and media strategy, and the key questions for the modern CMO
Excellent communication skills – especially translating complex technical findings into plain language insights
Demonstrated ability to develop new and lasting client relationships across multiple industries
Team oriented and collaborative working style
Management experience and demonstrated ability to develop talent and build a high performing team

Job Responsibility

Design and scope new projects, ensuring the right analyses are applied to client questions and that the business case is achievable
Lead project teams, ensuring the delivery of highly valuable, effective data science solutions that meet client needs, and driving high client value
Support the development of junior colleagues, actively engaging in transversal topics such as thought leadership, innovation streams, knowledge management, and recruitment
Gather and analyze data, build statistical models, and translate quantitative insights into actionable strategic recommendations
Deliver results as a persuasive story
Support client retention and new business opportunities
Contribute to the development of junior consultants through knowledge sharing and mentorship
Help lead our fast growth by contributing to local and global initiatives such as Thought-Leadership, Knowledge Management, Recruitment, Culture, Gender Balance and Diversity teams, Pioneering Machine Learning/AI techniques

What we offer

Medical insurance, dental, and vision
Emphasis on work-life-balance and 20 PTO days per year and holidays
Dynamic environment with a strong culture and great office in FiDi
Close-knit team with friendly environment, bi-monthly team events
Creative and entrepreneurial start-up environment with strong promotion opportunities
Best-in-class methodologies and cutting-edge technologies in marketing analytics
Unique internal training package with 70+ sessions in our Eki.Academy digital platform
Client exposure up to the executive level in different industries and countries
Opportunities for international mobility across our three other offices in Paris, London, Hong Kong and Shanghai
Generous bonus package

Fulltime

Senior Forward-Deployed Data Scientist, AI Deployment

Join our Field Data Scientist group of creative technical experts who partner wi...

Location

United States , New York City

Salary:

145800.00 USD / Year

Braze

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required
Master’s or PhD in a relevant technical discipline preferred
3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
Experience in customer-facing or consulting roles is strongly preferred
Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
You write well-structured, modular, documented code
follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews)
and can build scalable, maintainable solutions

Job Responsibility

Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
Contribute to shaping OfferFit’s product strategy and roadmap through customer-facing insights and technical expertise
Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

What we offer

Competitive compensation that may include equity
Retirement and Employee Stock Purchase Plans
Flexible paid time off
Comprehensive benefit plans covering medical, dental, vision, life, and disability
Family services that include fertility benefits and equal paid parental leave
Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
A curated in-office employee experience, designed to foster community, team connections, and innovation
Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
Employee Resource Groups that provide supportive communities within Braze

Fulltime

Staff Data Scientist

Consultative project, coming in to audit & assess the newly built platform. Util...

Location

United Kingdom , London

Salary:

600.00 - 650.00 GBP / Hour

Arrows Groupe

Expiration Date

Until further notice

Requirements

Python
GCP
Spark
PyTorch
strong business logic
consultative approach
senior stakeholder management
ability to liaise with and deliver into c-suite

Job Responsibility

audit & assess the newly built platform
utilise data to understand potential ROI
customer centric B2C work
work with incredibly large data lake with 20m+ unique users

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

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Senior Data Scientist Consultant

Job Responsibility

Requirements

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