data science lead

Brillio LLC

<div><h1 class="jobSectionHeader"><b>Data Science Lead - R01561319</b></h1>
<p></p><div><b>Data Science Lead</b></div><h6 class="jobSectionHeader"><b>
Primary Skills</b></h6><ul><li>
Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
</li></ul><h6 class="jobSectionHeader"><b>Specialization</b></h6><ul><li>
Data Science Advanced: Data Scientist
</li></ul><h6 class="jobSectionHeader"><b>Job requirements</b></h6><ul><li>
Job Description: Lead Solution Architect (Agentic AI &amp; App Integration) Role Overview As the Lead Solution Architect, you will be the visionary and technical engine behind our AI-Enabled application. Transform a reactive monitoring environment into a proactive, agentic ecosystem. You will design the foundational integration blocks that allow Generative AI agents to interact with third-party applications, transcribe real-time communications, and provide intelligent, multi-step reasoning to support mission-critical decisions. ________________________________________ The Foundational Blocks 1. Orchestration Layer: Building the multi-agent framework (e.g., AutoGen, LangChain, or Semantic Kernel) that allows AI agents to collaborate, hand off tasks, and resolve complex incidents autonomously. 2. Universal Integration Fabric: Designing a standardized API and Webhook gateway that connects apps for real-time data ingestion and action execution. 3. The &quot;Live Intelligence&quot; Pipeline: Implementing Speech-to-Text (STT) and Natural Language Understanding (NLU) systems to ingest radio, video, and voice comms directly into the AI&rsquo;s reasoning engine. 4. Governance &amp; ALA (Agentic Level Agreements): Establishing the guardrails, audit logs, and &quot;human-in-the-loop&quot; protocols to ensure AI actions are safe, compliant, and transparent. ________________________________________ Key Responsibilities &bull; Drive Agentic AI Strategy: Lead the architectural design of autonomous agents capable of L1/L2 incident triage, automated investigation, and proactive threat hunting. &bull; Cross-App Integration: Develop reusable integration patterns (Event-Driven, WebSockets, REST) to ensure the app is the &quot;single pane of glass&quot; for all connected applications. &bull; Conversational AI &amp; STT: Design high-fidelity chatbot interfaces and real-time transcription services that allow operators to &quot;talk to the data&quot; and receive voice-activated summaries of active incidents. &bull; Data Science Leadership: Partner with Data Scientists to fine-tune LLMs, optimize Retrieval-Augmented Generation (RAG) pipelines, and ensure model outputs are grounded in enterprise-specific data. &bull; Scalability &amp; Resilience: Ensure the architecture supports high-concurrency, low-latency operations.</li></ul></div><p></p>

Data Science Lead – R01561319

ICON plc

<div>Senior Clinical Data Science Lead - Bangalore, India<div></div><div>
ICON plc is a world-leading healthcare intelligence and clinical research organization. We&rsquo;re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development</div><div></div><div>
We are currently seeking a Senior Clinical Data Science Lead to join our diverse and dynamic team. As a Senior Clinical Data Science Lead at ICON, you will play a pivotal role in leading the analysis, interpretation, and management of clinical data to drive the success of our clinical trials. You will contribute to the advancement of innovative treatments and therapies by overseeing data science initiatives and ensuring data quality and integrity across studies.</div><div></div><div>
What You Will Be Doing:</div><ul><li>
Leading the development and implementation of clinical data management strategies to optimize data collection, analysis, and reporting.</li><li>
Collaborating with cross-functional teams to ensure the accurate integration of data science techniques into clinical trial designs.</li><li>
Overseeing the analysis of clinical data to provide actionable insights that inform study decisions and outcomes.</li><li>
Providing strategic guidance on data governance, quality control, and compliance with regulatory requirements.</li><li>
Establishing partnerships with key stakeholders to leverage the latest advancements in data science and technology in clinical research.</li></ul><div>
Your Profile:</div><ul><li>
Advanced degree in a relevant field such as data science, biostatistics, or life sciences.</li><li>
Extensive experience in clinical data science, with a strong focus on data management and analysis in clinical trials.</li><li>
Strong leadership skills and a proven ability to manage cross-functional teams in a fast-paced, matrix environment.</li><li>
Expertise in data analysis tools, statistical software, and data visualization techniques.</li><li>
Excellent communication, interpersonal, and stakeholder management skills, with the ability to influence and drive change in a complex organization.</li></ul><div></div><div>
What ICON can offer you:</div><div></div><div><div><div><div><div>
Our success depends on the quality of our people. That&rsquo;s why we&rsquo;ve made it a priority to build a diverse culture that rewards high performance and nurtures talent.</div><div></div><div>
In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family.</div><div></div><div>
Our benefits examples include:</div><ul><li><div>
Various annual leave entitlements</div></li><li><div>
A range of health insurance offerings to suit you and your family&rsquo;s needs.</div></li><li><div>
Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.</div></li><li><div>
Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family&rsquo;s well-being.</div></li><li><div>
Life assurance</div></li><li><div>
Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others.</div></li></ul></div></div></div></div><div></div><div>
Visit our <div>careers site</div> to read more about the benefits ICON offers.</div><div></div><div>
At ICON, inclusion &amp; belonging are fundamental to our culture and values. We&rsquo;re dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.</div><div></div><div><div><div><div><div>
If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know</div><div></div><div><div>
Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless &ndash; there&rsquo;s every chance you&rsquo;re exactly what we&rsquo;re looking for here at ICON whether it is for this or other roles.</div></div></div></div></div></div></div><div></div>

Senior Clinical Data Science Lead

Genpact

<p></p><div><div><div>Ready to build the future with AI?<br>
At Genpact, we don&rsquo;t just keep up with technology&mdash;we set the pace. AI and digital innovation are redefining industries, and we&rsquo;re leading the charge. Genpact&rsquo;s AI Gigafactory, our industry-first accelerator, is an example of how we&rsquo;re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies&rsquo; most complex challenges.<br>
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment.<br>
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions &ndash; we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.<br>
Inviting applications for the role of Principal Consultant-Data Science Tech Lead<br>
We are seeking a highly experienced and visionary Data Science Architect to lead the design and implementation of scalable data science solutions across our organization. This role requires a strategic thinker with deep technical expertise in machine learning, data engineering, and analytics architecture. You will collaborate with cross-functional teams to drive innovation, optimize data workflows, and ensure the successful deployment of advanced analytics and AI solutions.<br>
Responsibilities<br>
<ul><li>Lead the design, development, and delivery of end‑to‑end data science solutions&mdash;from data preparation and feature engineering to model development, testing, deployment, and monitoring.</li><li>Collaborate with engineering, product, and business teams to translate requirements into practical AI/ML solutions.</li><li>Provide technical leadership in model development, experimentation, optimization, and performance tuning.</li><li>Work closely with data engineers, analysts, and business stakeholders to convert business problems into analytical solutions.</li><li>Establish best practices for coding standards, model versioning, reproducibility, and scalable ML development.</li><li>Mentor and guide data scientists and ML engineers through technical decisions, code reviews, and solution design.</li><li>Ensure high standards of data quality, model reliability, security, and compliance across all data science workflows.</li><li>Stay updated on emerging AI/ML technologies (including GenAI, LLMs, and advanced NLP techniques) and evaluate opportunities to integrate them.</li><li>Collaborate with engineering teams for smooth integration of ML models into applications and production environments</li></ul>
Qualifications we seek in you!<br>
Minimum Qualifications<br>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, or a related field.</li><li>Experience in data science or applied machine learning, with at least 2 years in a technical lead role.</li><li>Strong hands‑on experience building, validating, deploying, and monitoring machine learning models in production.</li><li>Excellent programming skills in Python, R, or Scala and proficiency with ML frameworks such as TensorFlow, PyTorch, and Scikit‑learn.</li><li>Strong experience with GenAI, LLMs, or advanced NLP techniques; experience building GenAI or LLM-driven applications.</li><li>Familiarity with big data ecosystems like Spark, Kafka, Delta Lake, and the modern data stack.</li><li>Experience in product engineering and working in agile cross-functional teams.</li><li>Certifications in data science (if any) are a plus.</li><li>Excellent communication and stakeholder management skills.</li></ul></div><div>
Preferred Qualifications/ Skills<br>
<ul><li>Lead the design, development, and delivery of end‑to‑end data science solutions&mdash;from data preparation and feature engineering to model development, testing, deployment, and monitoring.</li><li>Collaborate with engineering, product, and business teams to translate requirements into practical AI/ML solutions.</li><li>Provide technical leadership in model development, experimentation, optimization, and performance tuning.</li><li>Work closely with data engineers, analysts, and business stakeholders to convert business problems into analytical solutions.</li><li>Establish best practices for coding standards, model versioning, reproducibility, and scalable ML development.</li><li>Mentor and guide data scientists and ML engineers through technical decisions, code reviews, and solution design.</li><li>Ensure high standards of data quality, model reliability, security, and compliance across all data science workflows.</li><li>Stay updated on emerging AI/ML technologies (including GenAI, LLMs, and advanced NLP techniques) and evaluate opportunities to integrate them.</li><li>Collaborate with engineering teams for smooth integration of ML models into applications and production environments</li></ul>
Why join Genpact?<br>
<ul><li>Lead AI-first transformation &ndash; Build and scale AI solutions that redefine industries</li><li>Make an impact &ndash; Drive change for global enterprises and solve business challenges that matter</li><li>Accelerate your career&mdash;Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills</li><li>Grow with the best &ndash; Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace</li><li>Committed to ethical AI &ndash; Work in an environment where governance, transparency, and security are at the core of everything we build</li><li>Thrive in a values-driven culture &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress</li></ul>
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.<br>
Let&rsquo;s build tomorrow together.<br>
<br>
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.<br>
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</div></div><p></p><p><br>
JobPrincipal Consultant</p><p>
Primary LocationIndia-Noida</p><p>
ScheduleFull-time</p><p>
Education LevelBachelor's / Graduation / Equivalent</p><p>
Job PostingFeb 18, 2026, 1:29:43 AM</p><p>
Unposting DateOngoing</p><p>
Master Skills ListDigital</p><p>
Job CategoryFull Time</p></div>

Principal Consultant-Data Science Tech Lead

Honeywell

<div><p>As an Advanced Data Scientist here at Honeywell, you will be responsible for providing technical insight and acting as the subject matter expert in machine learning, statistical modeling, and data analysis projects. You will work closely with leadership to translate business needs into data science solutions. You will be responsible for contributing to the continuous improvement of methodologies and explore new approaches to enhance analytical capabilities.
</p><p>In this role, you will impact the business by applying your expertise in machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions. You will manage end-to-end data science projects, ensuring alignment with business objectives and the successful delivery of actionable insights. Additionally, you will provide mentorship and guidance to junior data scientists, fostering a collaborative and innovative team culture.</p></div>
<br><div><p>Key Responsibilities
</p><ul><li>Lead the development and implementation of advanced analytics models and algorithms
</li><li>Collaborate with crossfunctional teams to understand business needs and formulate datadriven solutions
</li><li>Mentor and guide junior data scientists, fostering a collaborative and innovative work environment
</li><li>Ensure the delivery of highquality, actionable insights to support business decisionmaking
</li><li>Drive innovation within the team, exploring new methodologies and technologies to enhance analytical capabilities</li></ul></div>
<br><div><p>YOU MUST HAVE
</p><ul><li>5+ years of experience in data science, with a focus on leading complex projects and delivering impactful solutions
</li><li>Mastery experience in machine learning, statistical modeling, and data analysis
</li><li>Strong project management and organizational abilities
</li><li>Demonstrated ability to lead and mentor junior data scientists
</li></ul><p>WE VALUE
</p><ul><li>Bachelor&rsquo;s degree or Advanced degree in Computer Science, Statistics, Mathematics, or related discipline
</li><li>Experience in leading and ownership of complex data projects
</li><li>Proficiency in programming languages such as Python or R
</li><li>Strategic thinking and the ability to contribute to the overall direction of the Data Science team</li></ul></div>
<br><div>Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments &ndash; powered by our Honeywell Forge software &ndash; that help make the world smarter, safer and more sustainable.</div>

Advanced Data Scientist

JK Tech

<div>ID: 2773 | 8-9 yrs | Noida
<p></p><div><p><b>Roles and Responsibilities:</b></p><p><b>
Job Description</b></p><p><b>
Data Scientist: Model Building, Data Analysis, and Project Delivery</b></p><p><b>
Job summary</b></p><ul><div>
We are seeking a highly experienced and motivated Senior Data Scientist to lead complex data projects from ideation to production. The ideal candidate has a proven track record of designing, building, and deploying advanced machine learning models and delivering impactful business solutions. You will translate ambiguous business problems into data-driven strategies, conduct deep-dive analysis, and own the end-to-end project lifecycle while working with cross-functional teams.</div><div>
Experience: 10+ years of experience as a Data Scientist or in a similar role, with a strong portfolio of successfully delivered data science projects.</div></ul><p></p><p><b><br>
Roles and Responsibilities</b></p><ul><div>
Serve as expert in Data Science, build framework to develop Production level DS/AI models.</div><div>
Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.</div><div>
Lead multiple teams across clients ensuring quality and timely outcomes on all projects.</div><div>
Lead and manage the onsite-offshore relation, at the same time adding value to the client.</div><div>
Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.</div><div>
Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.</div><div>
Present results, insights, and recommendations to senior management with an emphasis on the business impact.</div><div>
Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.</div><div>
Lead or contribute to org level initiatives</div></ul><p></p><p><b><br>
Technical expertise:</b></p><ul><div>
Expertise in ML &ndash; Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.</div><div>
Proficient in some or all of the following techniques: Linear &amp; Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.</div><div>
Knowledge of programming languages SQL, Python/ R, Spark.</div><div>
Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).</div><div>
Experience with cloud computing services (AWS, GCP or Azure)</div><div>
Expert in Statistical Modelling &amp; Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing</div><div>
Knowledge in Mathematical programming &ndash; Linear Programming, Mixed Integer Programming etc , Stochastic Modelling &ndash; Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.</div><div>
Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)</div><div>
Knowledge in GPU code optimization, Spark MLlib Optimization.</div><div>
Familiarity to deploy and monitor ML models in production, delivering data products to end-users.</div><div>
Experience with ML CI/CD pipelines.</div></ul><p></p><p><b><br>
Education:</b></p><ul><div>
A master's or PhD in a quantitative field such as Data Science, Computer Science, Statistics, or Mathematics is preferred.</div></ul></div></div><p></p>

Sr. Lead Consultant

viewsoft

<div><div><div><p>Location: Abu Dhabi, United Arab Emirates</p></div></div><div><div><p>
Clearance Required: Top Secret (active)</p></div></div></div>
<br><div><div><p>We are seeking a highly skilled and experienced Senior Data Scientist to join our team in Abu Dhabi, UAE. In this role, you will lead data-driven initiatives to provide actionable insights and support mission-critical operations. Working in a dynamic, fast-paced environment, you will apply advanced analytics, machine learning, and AI techniques to solve complex challenges within the defense and security sectors.</p><p><b>
Key Responsibilities:</b></p><ul><li>
Lead the design, development, and implementation of advanced data models, algorithms, and machine learning solutions to support strategic objectives.</li><li>
Analyze large datasets to identify trends, patterns, and insights to drive decision-making.<br>
Collaborate with cross-functional teams, including engineers, analysts, and stakeholders, to define and solve high-priority problems.</li><li>
Develop and optimize predictive models, natural language processing (NLP) algorithms, and other machine learning frameworks.</li><li>
Perform data wrangling, cleaning, and preprocessing to ensure the highest quality data for analysis.</li><li>
Communicate complex technical findings to non-technical stakeholders, providing clear, actionable insights.</li><li>
Maintain and develop best practices for data science workflows and tools.</li><li>
Mentor junior data scientists and provide leadership on advanced analytics techniques.</li></ul><p></p><p><b><br>
Qualifications:</b></p><p>
Required:</p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Mathematics, Data Science, or a related field (Master&rsquo;s or PhD preferred).</li><li>
8+ years of experience in data science, machine learning, or a related field.</li><li>
Strong expertise in statistical modeling, data mining, and machine learning algorithms.</li><li>
Proficiency in programming languages such as Python, R, and SQL.</li><li>
Experience with machine learning frameworks and libraries (e.g., TensorFlow, Keras, PyTorch, Scikit-learn).</li><li>
Expertise in big data technologies and platforms (e.g., Hadoop, Spark, AWS, Azure).</li><li>
Experience working with complex datasets, including unstructured data (text, images, etc.).</li><li>
Excellent problem-solving and analytical skills.<br>
Strong verbal and written communication skills, with the ability to present complex findings to senior leadership.</li><li>
Active Top Secret security clearance required</li></ul><p></p><p><br>
Preferred:</p><ul><li>
Experience with defense, intelligence, or security-related projects.</li><li>
Familiarity with cloud-based platforms and distributed computing environments.</li><li>
Advanced certifications or training in machine learning, AI, or data science.</li><li>
Experience working in an Agile environment or leading teams in collaborative settings.</li></ul></div></div>

Senior Data Scientist

Tata Consultancy Services

<div>
 <p>
  Dear Candidates,
 </p>
 <p>
  TCS is looking for Data scientist
 </p>
 <p>
  Experience:4-10 years
 </p>
 <p>
  Location: Hyderabad
 </p>
 <p>
  Mode of interview: Face-to-face
 </p>
 <p>
  Date of interview: 21/02/2026
 </p>
 <p>
  <br/>
 </p>
 <p>
  Address: Premises 2-136, Survey Number 26, CMC Campus, Non- SEZ, DLF road , Gachibowli, Hyderabad, Telangana, 500032
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  WHAT CANDIDATE WILL DO
 </p>
 <ul>
  <li>
   Actively explore and identify the latest techniques related to AI, ML and data exploration analysis.
  </li>
  <li>
   Perform exploratory data analysis, hypothesis testing, data preparation and product prototyping based on modern statistical and ML/AI methods.
  </li>
  <li>
   Research, develop and applying ML/AI models to solve business and clients problems effectively.
  </li>
  <li>
   Use your knowledge to anticipate, identify, and address data issues related to redundancies, quality, and bias. Apply rigorous data cleaning and preprocessing techniques to ensure high-quality data for modelling.
  </li>
  <li>
   Lead data science projects, blending various data science techniques as needed to achieve optimal performance and actionable insights. Continuously explore innovative and novel approaches to improve modelling accuracy and efficiency.
  </li>
  <li>
   Assist with the application of Choreograph and third-party solutions for data assimilation, enrichment and analytics for delivering data sets and insights for strategic planning, activation and measurement.
  </li>
  <li>
   Work with cross-functional teams to build and execute industry-leading data and audience analytics solutions.
  </li>
  <li>
   Apply your communication, collaboration and emotional intelligence skills to effectively convey complex technical concepts to both technical and non-technical stakeholders. Facilitate cross-functional collaboration with other teams and departments.
  </li>
 </ul>
 <p>
  Skills and Experience
 </p>
 <ul>
  <li>
   Work experience of 4+ years of experience in applied data science, analytics, or ML engineering.
  </li>
  <li>
   Strong math or statistics background, specifically strong grasp of descriptive and probabilistic theories, sampling.
  </li>
  <li>
   Strong analytic and problem-solving skills, understanding and experience in application of AI methodologies for data manipulation and insight.
  </li>
  <li>
   Experience in building and execution of advanced solutions for audience analytics and insights.
  </li>
  <li>
   Strong SQL skills and comfort working with large-scale, multi-source data.
  </li>
  <li>
   Experience with version control (Git) and collaborative coding workflows.
  </li>
  <li>
   Advanced Python skills, incl. pandas, Numpy, scikit-learn, SciPy, stats models for modelling and analytics.
  </li>
  <li>
   Solid understanding of predictive modelling, feature selection, and model evaluation (AUC, lift, calibration, etc.).
  </li>
  <li>
   Experience with gradient boosting methods (xgboost, lightgbm, or cat boost).
  </li>
  <li>
   Experience with Power BI or other data visualization tools especially geo coded data is a big plus.
  </li>
  <li>
   Sufficient knowledge of data governance practices including data QA, general naming taxonomy, data &amp; platform integration, etc.
  </li>
  <li>
   Ability to foster collaborative relationships with cross-functional team.
  </li>
  <li>
   Excellent written, oral, and presentation communication.
  </li>
  <li>
   Ability to communicate analytical findings to non-technical stakeholders clearly and impactfully.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Scientist

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