senior data scientist

Javin Global

<p><b>Job Description &ndash; Senior Data Scientist</b></p><p><b>Role Overview</b><br/>We are looking for a highly skilled <b>Senior Data Scientist</b> to drive data-driven decision-making, build advanced models, and translate complex data into meaningful insights. The ideal candidate has strong hands-on experience with Python/R, SQL, machine learning, and data visualization tools.</p><p><b>Key Responsibilities</b></p><ul><li>Build predictive, classification, clustering, and forecasting models using machine learning and statistical techniques.</li><li>Perform deep exploratory data analysis (EDA) to uncover patterns, trends, and actionable insights.</li><li>Work with SQL databases to extract, prepare, clean, and transform large datasets.</li><li>Develop automated data pipelines and support deployment of ML models into production.</li><li>Create dashboards and visual reports using Tableau, Power BI, or similar tools.</li><li>Communicate analytical findings clearly to technical and non-technical stakeholders.</li><li>Collaborate with Product, Engineering, and Business teams to solve key business problems.</li><li>Mentor junior data team members and contribute to best practices.</li></ul><p><b>Required Skills</b></p><ul><li>Strong programming skills in <b>Python or R</b> for data processing and model building.</li><li>Proficient in <b>SQL</b> and relational database querying.</li><li>Hands-on experience with <b>data visualization tools</b> (Tableau/Power BI).</li><li>Solid understanding of <b>machine learning algorithms</b> and statistical concepts.</li><li>Experience with frameworks like <b>Scikit-learn</b>, and familiarity with <b>TensorFlow/PyTorch</b> is a plus.</li><li>Strong analytical thinking, problem-solving capability, and communication skills.</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Bachelors or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or related field.</li><li>Experience working with large datasets or Big Data platforms (Spark/Hadoop).</li><li>Exposure to cloud platforms (AWS/GCP/Azure) and MLOps practices.</li><li>Previous experience in building and deploying end-to-end ML solutions.</li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;2,400,000.00 - &#8377;3,000,000.00 per year</p><p>Application Question(s):</p><ul><li>Are you an immediate joiner?</li></ul><p>Experience:</p><ul><li>Data Scientist: 10 years (Preferred)</li></ul>

Senior Data Scientist

Elios Talent

<div>
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   Senior Data Scientist
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  📍
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   Abu Dhabi (UAE-based)
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  <strong>
   Contract Role | In-Country Delivery
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   Energy &bull; Real-Time Well Data &bull; Advanced Modeling
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  💡
  <strong>
   Job Information
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 <p>
  We&rsquo;re seeking a
  <strong>
   Senior Data Scientist
  </strong>
  based in the UAE&mdash;preferably Abu Dhabi&mdash;to support real-time well data analysis, model validation, and rapid iteration between In-Country and U.S.-based engineering teams.
 </p>
 <p>
  <br/>
 </p>
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  This role plays a critical part in ensuring that live well data streams are accurately interpreted, model outputs remain reliable, and operational insights are quickly actioned. You will serve as the on-the-ground technical bridge, validating performance, identifying anomalies, tuning parameters, and generating high-quality metrics that accelerate global model improvement cycles.
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  This position requires exceptional analytical thinking, deep domain understanding, and the ability to communicate technical findings clearly across geographically distributed teams.
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 <p>
  🧭
  <strong>
   Key Responsibilities
  </strong>
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 <ul>
  <li>
   Access, analyze, and interpret
   <strong>
    live well data
   </strong>
   from in-country systems
  </li>
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   Validate machine learning model outputs and ensure alignment with operational expectations
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   Tune local parameters to optimize predictive performance in field conditions
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   Identify anomalies, data drift, and data quality issues in near real time
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   Generate
   <strong>
    high-quality error metrics
   </strong>
   and structured evaluation reports
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   Collaborate closely with U.S.-based scientists and engineers to accelerate model iteration
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   Produce clear, thorough technical documentation to support cross-team workflows
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   Communicate findings, concerns, and recommendations with precision and clarity
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  <br/>
 </p>
 <p>
  🎯
  <strong>
   Ideal Candidate Profile
  </strong>
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 <ul>
  <li>
   Must be
   <strong>
    based in the UAE
   </strong>
   (Abu Dhabi strongly preferred)
  </li>
  <li>
   Senior-level experience in data science, ML modeling, or applied analytics
  </li>
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   Strong understanding of time-series data, anomaly detection, and model validation workflows
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   Experience working with operational or real-time industrial data (energy sector is a plus)
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   Ability to independently evaluate models, tune parameters, and assess data quality
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   Excellent written and verbal communication skills for U.S. and in-country collaboration
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   Detail-oriented, structured, and highly reliable in fast-moving technical environments
  </li>
 </ul>
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 </p>
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Qiam real estate

<p><b>Senior Data Scientist &ndash; Full-time | Riyadh, Saudi Arabia</b></p><p><b>Overview:</b><br/>The Senior Data Scientist is responsible for collecting, processing, and analyzing large datasets to provide actionable insights that support data-driven decision-making. The role requires close collaboration with cross-functional teams to understand data needs, generate analytical reports, and enhance organizational strategy.</p><p><b>Key Responsibilities</b></p><ul><li>Collect, clean, and validate data from multiple sources to ensure accuracy and consistency.</li><li>Analyze large volumes of structured and unstructured data to identify trends, patterns, and insights.</li><li>Design and maintain dashboards and reports using tools such as <b>Power BI</b>, <b>Tableau</b>, etc.</li><li>Work with stakeholders to translate analytical findings into strategic recommendations.</li><li>Support business decisions using statistical analysis, forecasting, and modeling.</li><li>Build and maintain data pipelines and contribute to data governance and quality improvements.</li><li>Collaborate with Data Engineers and Data Scientists to ensure proper data architecture and integration.</li><li>Document methodologies, data sources, and business rules for future reference.</li><li>Develop automated reports and performance metrics to enhance operational efficiency.</li><li>Ensure compliance with data privacy regulations and internal data policies.</li></ul><p><b>Skills &amp; Competencies</b></p><ul><li>Strong proficiency in <b>SQL</b> and experience with relational databases (SQL Server, Oracle, PostgreSQL).</li><li>Hands-on experience with data visualization tools (<b>Power BI</b>, <b>Tableau</b>, <b>Looker</b>).</li><li>Proficiency in <b>Python</b> or <b>R</b> for analysis and automation.</li><li>Strong understanding of data modeling, ETL processes, and data warehousing concepts.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Familiarity with cloud platforms (<b>Azure</b>, <b>AWS</b>, <b>Google Cloud</b>) is a plus.</li><li>Solid knowledge of statistics and application of statistical techniques in business contexts.</li></ul><p><b>Qualifications</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Statistics, Mathematics, or related field.</li><li>Minimum <b>5 years</b> experience as a Data Analyst or similar role.</li><li>Proven experience handling complex datasets and delivering insights that support decision-making.</li></ul><p><b>Preferred</b></p><ul><li>Experience in data governance and data quality management.</li><li>Exposure to machine learning or predictive analytics.</li><li>Certifications such as <b>Power BI</b>, <b>Tableau</b>, or <b>Azure Data Analyst</b> are an advantage.</li></ul><p>&#1606;&#1608;&#1593; &#1575;&#1604;&#1608;&#1592;&#1610;&#1601;&#1577;: &#1583;&#1608;&#1575;&#1605; &#1603;&#1575;&#1605;&#1604;</p><p>&#1575;&#1604;&#1585;&#1575;&#1578;&#1576; &#1575;&#1604;&#1605;&#1583;&#1601;&#1608;&#1593;: &#65020;&#1634;&#1632;&#1644;&#1632;&#1632;&#1632;&#1643;&#1632;&#1632;&nbsp;&#1604;&#1603;&#1604; &#1588;&#1607;&#1585;</p><p>&#1587;&#1572;&#1575;&#1604; (&#1571;&#1587;&#1574;&#1604;&#1577;) &#1591;&#1604;&#1576; &#1575;&#1604;&#1578;&#1602;&#1583;&#1605;:</p><ul><li>?What is your current salary</li><li>?What is your expected salary</li></ul>

Bilyoner

<div>
 <p>
  We are looking for a Senior Data Scientist to build the future of Bilyoner as a part of our highly motivated team. We look for the following skills:
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 </p>
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   Min. 3 year of relevant experience,
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   PhD, MS or Bachelors degree in Computer Science, Statistics or other quantitative field,
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   Experience in building Algorithms from scratch and take it to production in a scalable way,
  </li>
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   Extensive practical hands-on experience in exploratory data analysis,
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   The clear understanding of modern machine learning and statistical analysis methods,
  </li>
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   Proven experience at SQL and programming language Python,
  </li>
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   Interpret data, analyze results using statistical techniques and develop interactive dashboards, reports etc.,
  </li>
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   Provide technical expertise on data storage structures, data mining, data cleansing and data visualization.
  </li>
 </ul>
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  <br/>
 </p>
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 </p>
 <p>
  <strong>
   Ayd&inodot;nlatma Metni
  </strong>
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  <em>
   https://bilyoneradmins-my.sharepoint.com/:w:/g/personal/apply_bilyoner_com/EVkBNXP6V3FJss0cuCBoqIkB7OoIg1U1M4WtwWRvpenQfQ?e=EbB2ks
  </em>
 </p>
 <p>
 </p>
</div>


Colan Infotech Private Limited

<div>
 <strong>
  Skills:
  <br/>
 </strong>
 Deep Learning, Computer Vision, Image Processing, Machine Learning, TensorFlow, Generative AI,
 <br/>
 <br/>
 Greetings from COLAN INFOTECH PVT LTD.
 <br/>
 <br/>
 We have a significant opening for a Senior Data Scientist role with a focus on Computer Vision.
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 <br/>
 Experience: 5years to 10years
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 <br/>
 Skills: Deep learning, Computer vision, Image processing, Machine learning, Pytorch, Gen AI
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 <br/>
 No of openings: 5
 <br/>
 <br/>
 Interested candidates can drop their CV at: jacksonjohny@colanonline.com
 <br/>
 <br/>
 Please find the JD below
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 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We are seeking a highly experienced Senior Data Scientist specializing in Computer Vision and Generative AI to lead cutting-edge R&amp;D and model deployment efforts. You will drive innovation in vision-language and diffusion-based systems, from research prototypes to scalable production-grade pipelines.
 <br/>
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 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 Design, train, and optimize deep learning models for image generation, image-to-image translation, and text-to-image synthesis.
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 Conduct advanced R&amp;D in Generative-AI, including Diffusion Models, Transformers, VAEs, and GANs.
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 Explore Vision-Language and multi-modal learning (text, image, 3D) with models like CLIP, Flamingo, PixArt-, and Qwen2-VL.
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 Implement distributed training and model parallelism using PyTorch, Deep Speed, and Hugging Face Accelerate.
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 Lead experiments with LoRA, QLoRA, adapters, and parameter-efficient fine-tuning methods.
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 Develop evaluation pipelines for visual realism, garment fidelity, and human perceptual quality metrics.
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 Collaborate with product and engineering teams to deploy models to production using Triton, Torch Serve, or Fast-API.
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 Design automated ML-Ops pipelines for training, evaluation, and deployment (CI/CD, monitoring, retraining).
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 Mentor junior ML-engineers and data scientists, ensuring best practices in model reproducibility, experiment tracking, and code quality.
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 <strong>
  Required Skills &amp; Experience
  <br/>
  <br/>
 </strong>
 Hands-on experience in applied ML/AI, focusing on Computer Vision and Generative Models.
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 Proficiency in image generation, in painting, style transfer, human parsing, and pose estimation.
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 Hands-on experience with Stable Diffusion, ControlNet, LoRA fine-tuning, and Hugging Face Diffusers.
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 Strong knowledge of architectures such as U-Net, ViT, Transformer-based encoders/decoders, VAE, and GAN variants.
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 Expertise in distributed training, data parallelism, and GPU/TPU acceleration.
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 Experience with synthetic data generation, texture alignment, and dataset curation pipelines.
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 Proven track record of deploying production-grade ML systems (Fast-API, Triton, Torch Serve, or REST APIs).
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 Proficient with Python, PyTorch, OpenCV, NumPy, Hugging Face, and WandB/MLflow.
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 <br/>
 Interested candidate can drop their CV to: jacksonjohny@colanonline.com
</div>


Lehmann + Pioneers Digital GmbH

<div></div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>For LPDG India Private Limited</b></h2>
</div></div></div></div></div></div><div></div><div><div><div><div><div><div><div>LPDG India is a part of Brunata Minol-ZENNER group which has more than 4200 Employees worldwide and presence in more than 100 countries. It is a fast-growing digital solutions company, delivering innovative and future-ready services to clients across industries. We have a global clientele, offering opportunities to work on diverse and impactful projects.<br>
<br>
We are currently looking for a skilled and motivated <b>Senior Data Scientist</b>, to join our team.
<br>
<br>
If you are a Solution Consultant who would like to sharpen our portfolio and expand our technology expertise, then LPDG India is looking forward for your application and hopefully welcoming you to the LPDG family.</div>
</div></div></div></div></div></div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>YOUR PROFILE, YOUR CONVICTION</b></h2>
</div></div><div></div><div><div><h3 class="jobSectionHeader"><b>What you must bring to the role:</b></h3>
</div></div><div></div><div><div><ul><div><div>5+ years of experience in Data Science, working on use cases involving advanced machine learning/statistical modelling/forecasting.</div>
</div><div></div><div><div>Proficiency in Python development and familiarity with major ML frameworks, supported by 5+ years of industry experience.</div>
</div><div></div><div><div>Strong grounding in statistical methodologies, with 5+ years of experience conducting hypothesis testing, A/B testing, and designing experiments.</div>
</div><div></div><div><div>Over 2 years of experience in implementing and optimizing AI/LLM-based solutions, including agentic AI systems for practical business applications.</div>
</div><div></div><div><div>At least 3 years of experience in SQL development, data pipeline design, and working with relational and NoSQL databases.</div>
</div><div></div><div><div>At least 2 years of experience in cloud deployment and MLOps, including building, scaling, and maintaining ML workflows in cloud environments.</div>
</div></ul></div></div><div><div><h3 class="jobSectionHeader"><b>What sets you apart:</b></h3>
</div></div><div></div><div><div><ul><div><div>Experience with Snowflake and modern cloud-based data platforms.</div>
</div><div></div><div><div>Knowledge of deep learning, time series forecasting, and optimization algorithms.</div>
</div><div></div><div><div>Familiarity with graph analytics, network analysis, and related advanced analytical techniques.</div>
</div><div></div><div><div>Exposure to Agile methodologies and project management tools for collaborative development.</div>
</div><div></div><div><div>Relevant certifications such as TensorFlow Developer, AWS Machine Learning Specialty, or Azure Data Scientist Associate (preferred).</div>
</div><div></div><div><div>AWS/GCP/Azure/Snowflake ML Certification or Certified Data Scientist would be highly valued.</div>
</div><div></div><div><div>Experience in training and mentoring juniors/associates.</div>
</div></ul></div></div><div><div><h3 class="jobSectionHeader"><b>What we value in your personality:</b></h3>
</div></div><div></div><div><div><ul><div><div>Excellent problem-solving, analytical thinking, and structured decision-making skills.</div>
</div><div></div><div><div>Strong communication and presentation abilities, with the capability to simplify and explain complex technical concepts to non-technical stakeholders.</div>
</div><div></div><div><div>Collaborative team player with capabilities to mentor juniors/associates in the team and proven client relationship management experience in consulting environments.</div>
</div></ul></div></div><div><div><h3 class="jobSectionHeader"><b>Educational qualification for the role:</b></h3>
</div></div><div></div><div><div><ul><div><div>You must have a master&rsquo;s degree after a 3-year bachelor&rsquo;s program or a 4-year degree in Computer Science / Computer Engineering / related field.</div>
</div></ul></div></div></div></div></div></div><div></div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>OUR OFFER, OUR PROMISE</b></h2>
</div></div><div></div><div><div><ul><div><div>At LPDG India, you&rsquo;ll be part of an agile work environment with a flat hierarchy that encourages ownership and supports a healthy work-life balance.</div>
</div><div></div><div><div>Your performance will be appreciated with competitive compensation, annual growth, and a structured rewards and recognition program.</div>
</div><div></div><div><div>We also offer comprehensive benefits including Mediclaim insurance, internet allowance.</div>
</div><div></div><div><div>Our work-from-home-first approach offers flexibility, complemented by occasional in-person meetups to foster team connection.</div>
</div><div></div><div><div>Continuous learning is always encouraged here through certifications, workshops, and opportunities to explore new domains.</div>
</div><div></div><div><div>You&rsquo;ll gain cross-functional exposure and the chance to work with international clients, enhancing both your skills and global outlook.</div>
</div></ul></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div><b>Have we sparked your interest? Are you curious?</b><br>
<br>
Then become a part of LPDG India and drive the digital transformation together with us!<br>
 We look forward to receiving your complete application documents stating your salary expectations and your earliest possible starting date by e-mail to <b><i>career.india@lpdg.io</i></b></div>
</div></div><div></div><div><div><div><div><div><div><div><div><div><b>Your Contact Person</b></div><div><b><br>
SRABANA CHANDRA
</b><br>
<b>CAREER.INDIA@LPDG.IO</b></div></div></div><br>
</div></div></div></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div>LPDG India Private Limited<br>
Office No. 312
<br>
Oracle Business Hub
<br>
Road No. 16 Z<br>
Wagle Industrial Estate<br>
Thane- 400604, Maharashtra, India</div></div></div></div></div></div></div></div><div></div>

(Senior) Data Scientist

OneMagnify

<div><div>Senior Data Scientist &ndash; Job Description</div><div>
We are seeking a Senior Data Scientist with deep experience translating business requirements into technical specifications, manipulating large datasets, and supporting a broad range of data initiatives for our clients. Our Data Scientists design, enhance, and support data services and analytics capabilities used by our clients and their customers. They work closely with business partners and Data Engineering/Analytics teams to understand data meaning and intent, provide analytical insights, and ensure data designs and solutions align with defined standards.</div><div>
About You</div><div>
You are a data professional with strong hands-on technical skills and exceptional attention to detail. You thrive in collaborative environments, working with large-scale datasets and developing advanced analytics solutions. You are a problem solver who is passionate about transforming data into meaningful business impact.</div><div>
Responsibilities</div><ul><li>
Client leadership &amp; project delivery: Independently engage with client leadership, lead project meetings to align on scope and timelines, provide analytical support across the portfolio, and ensure smooth, timely delivery; perform additional duties as needed.</li><li>
Modeling, experimentation &amp; optimization: Design and deploy analytical models (forecasting, classification/regression, segmentation), conduct A/B testing and causal analyses, and develop optimization solutions (linear, mixed-integer, multi-objective). Ensure rigorous validation with diagnostics, monitoring, and complete documentation.</li><li>
Analysis &amp; storytelling: Execute advanced data analyses; interpret and synthesize findings; present clear insights to internal and external stakeholders; prepare executive-ready presentations and visualizations using Tableau and Power BI.</li><li>
Requirements &amp; business rules: Partner with business and engineering teams to elicit requirements, define and document business rules, and translate needs into technical specifications and user-facing documentation.</li><li>
Data integration &amp; quality: Integrate data from diverse sources; monitor and validate data flows; develop or enhance data-quality reporting; conduct root-cause analysis; test database changes prior to release; use Databricks for scalable data processing.</li><li>
MLOps &amp; deployment: Collaborate with engineering teams to implement MLOps practices including MLflow pipelines, model deployment, monitoring, and end-to-end lifecycle management.</li><li>
Version control &amp; collaboration: Use Git/GitLab for code management, reproducibility, and collaborative development with engineering teams.</li><li>
Data governance &amp; compliance: Ensure adherence to data governance, privacy, compliance, and regulatory frameworks.</li><li>
Metrics &amp; communication: Build new metrics and KPI reports that drive business decisions; communicate effectively with business and technical leads and respond appropriately to sensitive inquiries.</li></ul><div>
Qualifications / Skills</div><ul><li>
Experience: 5&ndash;7+ years of hands-on analytics including predictive modeling, experimentation (A/B testing), and optimization; 3&ndash;5 years presenting analyses to management and partnering with business/technical stakeholders; demonstrated leadership of multi-member client projects; expertise in experimental design, model diagnostics, and monitoring with clear, reproducible documentation.</li><li>
Technical (required): Advanced SQL and Python; ability to query, manipulate, and interpret data from databases/data warehouses; strong Excel and PowerPoint skills; hands-on experience with Databricks for large-scale data processing and machine learning workflows; proficiency with Tableau and/or Power BI; experience with Git/GitLab; understanding of data governance, privacy, and compliance standards.</li><li>
Technical (preferred): Proficiency with SAS and R; familiarity with automotive/VIN data; experience working with large/complex data structures; understanding of MDM concepts; exposure to MLOps practices.</li><li>
Data quality &amp; problem solving: Proven experience diagnosing and resolving data-quality issues across multiple platforms.</li><li>
Communication: Excellent interpersonal, verbal, and written communication skills; ability to work with both business and technical audiences and respond effectively to sensitive or complex inquiries.</li><li>
Education: BA/BS in Computer Science, MIS, Statistics, Mathematics, Marketing Research, or a related quantitative field (or equivalent practical experience).</li></ul></div>

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