senior data scientist

SDK Consulting inc

<ul><li>Active TS/SCI clearance w/Poly <b>CANDIDATES ONLY</b></li></ul><p><b>Overview</b><br/>Position: AI/ML Research Scientist LCAT Title: Software Engineer Senior Technical Specialist</p><p>Location: Herndon, VA / Northern Virginia (Hybrid Eligible) Funding Type: Funded</p><p>Seeking an AI/ML Research Scientist to support the Integrated Mission Management (IMM) program within the Defense Intelligence Agency (DIA) mission environment.</p><p>IMM enables enterprise Collection Prioritization, Requirements Management, and intelligence search capabilities across multiple classified domains (SIPR, JWICS, partner environments). This position will focus on advancing next-generation AI/ML capabilities that enhance decision advantage, search relevance, prioritization scoring, unstructured data exploitation, and cross-domain intelligence integration.</p><p>Unlike a traditional production-focused data science role, this position will emphasize research, prototyping, experimentation, and transitioning innovative AI capabilities into operational mission systems.</p><p>Primary Responsibilities</p><ul><li>Conduct applied research in AI/ML methods relevant to intelligence collection management and search optimization</li><li>Develop experimental prototypes for prioritization modeling, ranking algorithms, and decision-support systems</li><li>Research and implement NLP techniques for structured and unstructured intelligence data (PDFs, reports, OCR-extracted text)</li><li>Explore transformer-based architectures, embedding models, and retrieval-augmented generation (RAG) approaches</li><li>Design model evaluation frameworks for operational intelligence use cases</li><li>Conduct experimentation in model explainability, bias mitigation, and trustworthiness</li><li>Develop advanced feature engineering and representation learning strategies</li><li>Support development of knowledge graphs, graph-based reasoning, or semantic modeling approaches</li><li>Collaborate with Data Engineering and Software teams to transition prototypes into production-ready systems</li><li>Publish internal technical whitepapers and research briefs to inform leadership decisions</li><li>Support AI governance, data readiness, and feature registry development initiatives</li></ul><p>Required Qualifications</p><ul><li>Bachelor's degree in an area relevant to the position with minimum 12 years experience; 10 years with MS/MA; 8 years with Ph.D; or 4+ additional years of experience in lieu of a degree.</li><li>Active TS/SCI clearance w/Poly</li><li>Advanced degree (MS or Ph.D. preferred) in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or related technical field</li><li>Deep proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, HuggingFace, etc.)</li><li>Experience developing and evaluating advanced ML models, including deep learning approaches</li><li>Strong background in statistical modeling, optimization techniques, and experimental design</li><li>Experience with large-scale data processing and feature engineering</li><li>Experience with cloud-based development environments (AWS preferred)</li><li>Experience with containerization and ML model deployment workflows</li><li>Ability to translate research findings into mission-relevant applications</li></ul><p>Preferred Qualifications</p><ul><li>Experience supporting DIA, IC, or DoD mission environments</li><li>Experience with search relevance modeling and Elasticsearch/OpenSearch</li><li>Experience with graph analytics, semantic technologies, or ontology-driven systems</li><li>Experience implementing RAG architectures or LLM-based decision support systems</li><li>Familiarity with Zero Trust, RMF, or NIST 800-53 compliance considerations</li><li>Experience working in cross-domain or multi-level secure environments</li><li>Experience with OCR and document exploitation pipelines</li><li>Experience in Agile/SAFe environments</li></ul><p>Pay: From $150,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>Dental insurance</li><li>Flexible schedule</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul><p>Work Location: In person</p>

Senior Data Scientist

Xsolis

<div><div><b>Position Summary Details</b></div>
<div>
<div><p>The Senior Data Scientist at XSOLIS is responsible for developing, evaluating, and deploying scalable machine learning and AI solutions using large-scale healthcare data. This role blends traditional machine learning, data quality and risk modeling, and modern Generative AI techniques to support real-time clinical and operational decision-making.</p>
</div>
<div><p>The Senior Data Scientist works on moderately complex initiatives, collaborates closely with product and engineering teams, and contributes to responsible, high-quality, and production-ready AI systems.</p>
</div>
</div><div><b>Essential Duties &amp; Responsibilities</b><br>
<br>
The essential functions include, but are not limited to the following:</div>
<div>
<ul><li><p>Develop and deploy traditional machine learning models, including bias modeling, risk mitigation, and predictive analytics</p>
</li><li>
<p>Build scalable ML models and end-to-end ML pipelines suitable for production environments</p>
</li><li>
<p>Perform advanced data quality assessments, validation checks, and feature identification and analysis</p>
</li><li>
<p>Evaluate bias in training data and recommend mitigation strategies aligned with responsible AI practices</p>
</li><li>
<p>Design and implement intermediate models for risk scoring and predictive insights</p>
</li><li>
<p>Apply Generative AI techniques, including prompt engineering, retrieval-augmented generation (RAG), and deployment of GenAI models</p>
</li><li>
<p>Utilize and contribute to LLM evaluation frameworks to assess performance, accuracy, and reliability</p>
</li><li>
<p>Collaborate closely with Product, Engineering, and Business teams to identify, refine, and deliver high-impact AI use cases</p>
</li><li>
<p>Prepare trained models for production, including documentation, testing, and environment replication</p>
</li><li>
<p>Monitor model performance and participate in ongoing model optimization and observability efforts</p>
</li><li>
<p>Communicate complex analyses and results to technical and non-technical stakeholders</p>
</li><li>
<p>Maintain thorough documentation and participate in continuous learning and knowledge sharing across the Data Science team</p>
</li></ul>
</div><div><b>Minimum Qualifications (Knowledge, Skills, and Abilities)</b></div>
<div><div><b><i>Education:</i></b></div>
<ul><li>Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, Economics, or similar quantitative field; Master&rsquo;s degree preferred</li></ul>
<div><b><i>Experience:</i></b></div>
<ul><li><div><div><ul><li>Strong analytical thinking and problem-solving skills</li><li>
Ability to collaborate cross-functionally with product-focused teams</li><li>
<p>
Clear written and verbal communication skills</p>
</li><li>
<p>Commitment to ethical, responsible, and high-quality AI development</p>
</li></ul>
</div></div><div><div><ul><li><p>Big data querying experience using major cloud providers</p>
</li><li>
<p>Data processing, cleaning, feature extraction, and exploratory data analysis</p>
</li><li>
<p>Strong experience with machine learning and deep learning techniques and algorithms</p>
</li><li>
<p>Generative AI experience, including:</p>
<ul><li>
<p>Prompt engineering and prompt optimization</p>
</li><li>
<p>RAG vs. non-RAG architectures</p>
</li><li>
<p>LLM evaluation methodologies</p>
</li></ul>
</li><li><p>Experience with AI agents, agentic AI systems, and multi-agent orchestration</p>
</li><li>
<p>Model training, containerization, deployment, and performance monitoring</p>
</li><li>
<p>Automation, observability, and lifecycle management of ML pipelines (MLDC / MLOps)</p>
</li><li>
<p>Proficiency in Python and common ML libraries (e.g., scikit-learn, PyTorch, TensorFlow)</p>
</li><li>
<p>Experience working with relational databases and large-scale structured and unstructured datasets</p></li></ul></div><br>
</div>
</li></ul></div><p></p><div><b>Supervisory Responsibilities</b><br>
<br>
This role does not have any direct reports and is a single contributor role.</div>
<div></div>
<div><b>Working Environment and Travel Requirements</b></div>
<p>
Work is typically in a normal office administrative environment involving minimal exposure to physical risks. Position requires little to moderate physical activity. Mostly sedentary work exerting up to 10 pounds of force occasionally or a negligible amount of force to lift, carry, push, pull, or otherwise move objects. Work involves sitting most of the time, but may involve walking or standing for brief periods of time. No significant stooping is usually required.</p><div><b>
About Us</b></div>
<div></div>
<div>Xsolis is an AI-driven technology company with a human-centered approach, fostering collaboration between healthcare providers and payers through real-time transparency, objective data for increased accuracy and alignment of medical necessity decisions, and more efficient outcomes. Dragonfly&reg;, its AI-driven proprietary platform, is the first and only solution to use real-time predictive analytics to continuously assign an objective medical necessity score and assess the anticipated level of care for every patient, enabling more efficiency across the healthcare system. Xsolis is headquartered in Franklin, Tennessee.
<div></div>
<div><b>Our Values:</b></div>
<ul><li>Team First</li><li>
Client Passionate</li><li>
Always Curious</li><li>
Deliver Excellence</li></ul>
Xsolis has been ranked on the Inc. 5000 and Deloitte Technology Fast 500 lists in both 2022 and 2023 as a fastest-growing private company, and was named 2022 Best in Business among private companies by the Nashville Business Journal. Xsolis executives have been featured in Becker's Hospital Review, Becker's Payer Issues, Chief Healthcare Executive, CIO Review, Managed Healthcare Executive, Medical Economics, HIT Consultant, Healthcare IT Today, among other leading publications.
<div></div>
For more information, visit www.xsolis.com.
<div></div>
<div><div><b>Where We&rsquo;ll Go Together</b><br>
<br>
Our company will become the new standard for utilization management. You&rsquo;ll be a core part of realizing that goal and a valued contributor to the culture and climate we wish to create. Our wins are your wins, and we&rsquo;re dedicated to making you feel your work matters (it truly does).</div>
<div></div>
<div>If any of this speaks to you, let&rsquo;s get in touch.</div>
</div>
<div></div><div><div><b>Candidates must successfully pass a background check and drug screen prior to beginning employment with XSOLIS.</b></div>
<div><br>
<b>XSOLIS is an equal opportunity employer that is committed to hiring based upon merit, skills, experience, and qualifications. We recognize the importance of an inclusive and diverse workforce that celebrates all individuals from all walks of life. We encourage everyone to apply regardless of gender identity, race, veteran status, age, sexual orientation, or any other protected class.</b></div>
<div><br>
<b>All employees of XSOLIS fall under the same security role, which includes access to sensitive information, including proprietary data and PHI.</b></div>
<div></div>
<div>All official communications from our recruitment team come from emails ending in @xsolis.com or @echo.newtonsoftware.com. Job offers are only extended after a formal interview process, and any offer will come through official channels. You can verify postings on our official careers page: https://www.xsolis.com/about/careers.</div></div></div></div>

Takamol Holding

<div>
 <p>
  The
  <strong>
   Senior Data Scientist Specialist
  </strong>
  is responsible for analyzing complex data related to customer behavior, product performance, and business operations to provide actionable insights that drive strategic decisions. This role combines deep analytical skills with a business-oriented mindset, working closely with product, marketing, and customer experience teams to identify trends, optimize products, and enhance customer satisfaction. The Senior Data Scientist will leverage advanced statistical models, machine learning, and data visualization to uncover insights and guide decision-making.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Key Responsibilities:
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Analyze customer data to identify behavior patterns, segmentation opportunities, and churn drivers, supporting initiatives to improve customer engagement and retention.
  </li>
  <li>
   Assess product performance through data-driven insights, identifying areas for improvement, new features, and potential optimizations to increase product value and customer satisfaction.
  </li>
  <li>
   Develop predictive models and forecasting techniques to support customer lifecycle management, product adoption trends, and demand forecasting.
  </li>
  <li>
   Work closely with product, marketing, and customer experience teams to translate business needs into analytical solutions, fostering data-driven decision-making.
  </li>
  <li>
   Design and conduct A/B tests and experiments to measure the impact of new features, marketing campaigns, and product changes on customer behavior and satisfaction.
  </li>
  <li>
   Create and maintain reports and dashboards to track key business metrics related to customer and product performance, ensuring alignment with organizational goals.
  </li>
  <li>
   Present complex data insights in a clear and accessible manner to stakeholders, using data visualization techniques to support storytelling and decision-making.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Required Skills &amp; Qualifications:
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Statistics, Data Science, Economics, Econometrics, Quantitative Finance, Mathematics, Physics, or a related field.
  </li>
  <li>
   4+ years of experience in data science, analytics, or a similar role, with a focus on customer and product analysis.
  </li>
  <li>
   Data Analysis, Statistical Modeling and Machine Learning.
  </li>
  <li>
   Customer &amp; Product Insights.
  </li>
  <li>
   Data Visualization &amp; Storytelling.
  </li>
  <li>
   Experimentation &amp; A/B Testing.
  </li>
  <li>
   Familiarity with CDPs and Product Analytics Tools.
  </li>
  <li>
   Agile Environment Experience.
  </li>
 </ul>
</div>


Senior Data Scientist Specialist

Coca-Cola HBC

<div><div><div><div><div><div><div><div>Egypt (Cairo)
</div></div></div></div><div><div><div>Information Technology
</div></div></div><div><div><div>Hybrid
</div></div></div><div><div><div>Experienced Professionals
</div></div></div></div></div></div><div><div><div><div><div><div><b>Department: </b>Data Insights &amp; Artificial Intelligence, Digital &amp; Technology Platform Services<br>
</div><div></div><br>
<div>We are looking for a Senior Data Scientist who combines strong hands-on expertise with the ability to lead and scale analytics solutions in a complex, multi-market environment. In this role, you will take ownership of delivering advanced analytics solutions, generating actionable insights and driving tangible business impact, with a strong focus in the route-to-market and commercial effectiveness areas. You will work closely with business stakeholders, translating ambiguous problems into scalable data products deployed across 29 markets. Beyond individual contribution, you will play a key role in shaping our data science practices and, over time, lead and mentor a small team of data scientists, ensuring high standards in both technical delivery and business impact. This is a high-impact role suited for someone who can independently drive complex problems end-to-end and balance deep technical execution with evolving leadership responsibilities.<br>
</div><div></div><br>
<div><b>YOUR NEW KEY RESPONSIBILITIES:</b></div><div></div><div><br>
<ul><li>
Collaborate extensively with business stakeholders to deeply understand challenges and identify opportunities.</li><li>
Own the end-to-end delivery of advanced analytics and machine learning solutions, from problem framing to production deployment and continuous improvement, working within Agile/SAFe ways of working.</li><li>
Develop and implement machine learning and statistical models to extract insights, predict trends, and provide actionable recommendations.</li><li>
Analyze large and complex datasets to identify opportunities to enhance existing solutions and develop new ones.</li><li>
Lead the development of proof-of-concept solutions and ensure their scalability across multiple markets.</li><li>
Work closely with cross-functional teams, including data engineers and business experts, to ensure robust, scalable, and production-ready solutions.</li><li>
Proactively identify opportunities to improve existing solutions and propose new data-driven initiatives that deliver measurable business value.</li><li>
Contribute to building and scaling a high-performing data science team, acting as a technical reference point, driving best practices, and supporting the development of other data scientists.</li></ul></div><div></div><div><b><br>
ARE THESE YOUR SECRET INGREDIENTS?</b></div><div><ul><li>
5+ years of hands-on experience in data science or advanced analytics roles, with a strong track record of delivering production-grade solutions</li><li>
Strong proficiency in Python and PySpark, with the ability robust, well-structured, and efficient code that balances readability and performance</li><li>
Solid understanding of machine learning, statistical modeling, and experimentation, with the ability to apply the right approach to real-world business problems</li><li>
Experience working with large-scale datasets and distributed data processing, as well as cloud-based data platforms (preferably Azure &amp; Databricks)</li><li>
Proven experience in owning projects end-to-end, from business understanding to deployment and impact measurement</li><li>
Demonstrated ability to build scalable solutions that go beyond one-off analyses or prototypes</li><li>
Strong problem-solving skills, with the ability to identify opportunities to enhance existing solutions and propose new data-driven strategies</li><li>
Ability to manage multiple projects simultaneously, prioritize effectively, and collaborate effectively with other team members and external vendors</li><li>
Ability to balance hands-on technical work with leadership responsibilities, with experience in leading and guiding other data scientists</li><li>
Excellent collaboration, communication and presentation skills, with the ability effectively interact and influence stakeholders, translating technical concepts into analytical approaches and business impact</li><li>
Experience in CPG, retail, or commercial analytics (e.g. route-to-market, assortment) is a strong advantage</li>
BSc or MSc, in Computer Science, Data Science, Statistics, Engineering or a related quantitative field<br>
<li>
</li></ul><div></div><br>
ABOUT YOUR NEW TEAM:</div><div>
We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
</div><div>We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
</div><div>We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
</div><div>And although we have so much to be proud of, we always stay humble. We believe the real magic happens - for us and for you - when we OPEN UP.<br>
</div><div></div><br>
<div><b>AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
</b></div><div>At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.</div><div>
</div></div></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>Benefits
</b></h3></div></div><div><div><div><div><div>Coaching and mentoring programs</div>
</div></div><div><div><div>Development opportunities</div>
</div></div><div><div><div>Equal opportunity employer</div>
</div></div><div><div><div>IT Equipment</div>
</div></div><div><div><div>Medical Insurance</div>
</div></div><div><div><div>Work with iconic brands</div>
</div></div><div><div><div>Supportive team</div></div></div></div></div></div></div>

Paramount Streaming

<div><p><b>#WeAreParamount on a mission to unleash the power of content&hellip; you in?</b><br>
We&rsquo;ve got the brands, we&rsquo;ve got the stars, we&rsquo;ve got the<b> </b>power<b> </b>to achieve our mission to entertain the planet &ndash; now all we&rsquo;re missing is&hellip; YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter &ndash; both for our audiences and our employees &ndash; and aim to leave a positive mark on culture.</p><p><br>
We are seeking a Senior Data Scientist who is excited to deploy MLOps products that shape business strategy, optimize content, inform marketing investment decisions, and enhance the user experience. You will build the foundations of our ML platform that will enable the Data Science team to deploy models at web scale data driving interactions with millions of customers across the globe. Specific projects will include contributing to the models driving Paramount+&rsquo;s financial forecasts and designing the ML Ops platform that will enable the Data Science team to scale their model deployments. Success in this role requires a strong foundation in Python, comfort writing production-quality code in a collaborative environment, effective communication with Data Science team and stakeholders, and a team player who is excited to design and develop the MLOps deployment that will enable the team to multiply their impact.</p><p></p><div><br>
Overview:<br>
<br>
<ul><li>Design and implement our greenfield ML platform 10Xing the Data Science team&rsquo;s impact</li><li>Work closely with Data Scientists to understand their development needs</li><li>Work closely with Stakeholders to understand the business problems driving model deployments and how models can augment their workflows</li><li>Assess and integrate cutting-edge software and practices in Data Science and MLOps.</li></ul><br>
Key Projects:<br>
<br>
<ul><li>Manage deployment and contribute to models driving Paramount+&rsquo;s global, financial forecasts</li><li>Design and implement Paramount&rsquo;s model deployment platform</li><li>Design and implement robust monitoring, logging, alerting, and observability of ML deployments</li><li>Design and implement UIs the enable a variety of stakeholders to interact with DS models</li><li>Drive adoption of best practices for CI / CD workflows tailored to Data Science</li><li>Drive adoption of agentic workflows across Data Science and the larger Paramount organization</li></ul><br>
Basic Qualifications:<br>
<br>
<ul><li>3+ years experience in Data Science and ML Engineering.</li><li>Deep experience developing as a team in Python</li><li>Deep experience designing and implementing MLOps platforms in a cloud environment</li><li>Deep experience implementing CI/CD workflows that manage model deployments</li><li>Experience developing containerized applications</li><li>Ability to innovate without over-engineering</li><li>Familiarity with well-known statistical and ML models and methods</li><li>Strong detail orientation with a penchant for deployment reliability</li><li>Must successfully pass a background check</li></ul><br>
Additional Qualifications:<br>
<br>
<ul><li>Experience integrating LLMs into existing business processes</li><li>Experience working at Web scale</li><li>Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs).</li></ul><br>
#AD-1</div><p></p><p><br>
Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment&trade;. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME&reg;.</p><p></p><p><br>
ADDITIONAL INFORMATION</p><p></p><p><br>
Hiring Salary Range: $124,000.00 - 175,000.00.</p><p></p><p><br>
The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.</p><p><br>
</p><div><b>What We Offer:</b></div><ul><li>
Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits</li><li>
Generous paid time off.</li><li>
An exciting and fulfilling opportunity to be part of one of Paramount&rsquo;s most dynamic teams.</li><li>
Opportunities for both on-site and virtual engagement events.</li><li>
Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.</li><li>
Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount</li></ul><p></p><p><br>
Paramount is an equal opportunity employer (EOE) including disability/vet.</p><p></p><p><br>
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.</p><p></p><p><br>
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.</p></div><p></p>

DATAIKU

<div><div><p>Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack &mdash; empowering organizations to run AI across multi-vendor environments with centralized governance.<br>
<br>
The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.</p></div><p>
The role of a Senior Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.Just as the non-technical skills are important, so too are the technical. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team uses mostly Python and SQL, with occasional work in other languages (e.g., R, Pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients.</p>
<p><b>
Key Areas of Responsibility (What You'll Do)</b></p>
<ul>
<li>Scope and co-develop production-level data science projects with our customers across different industries and use cases</li>
<li>Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support</li>
<li>Provide strategic input to the customer and account teams that help make our customers successful.</li>
<li>Provide data science expertise both to customers and internally to Dataiku's sales and marketing teams</li>
<li>Lead technical data science projects pre-sales scoping and design appealing proposals</li>
<li>Flag technical and non-technical account risks (onboarding issues, performance pitfalls, timeline slippage)</li>
<li>Develop custom Python-based &quot;plugins&quot; in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku's functionality</li>
<li> Lead Data Scientist engagements: You will coordinate agile sprints, prioritize tasks, estimate effort, do backlog grooming</li>
<li>Run demo booth/tech talk duties at company public events (e.g. Everyday AI)</li>
<li>Lead Junior Data Scientist technical interview</li>
<li>Contribute to 2 internal assets (internal best practice or external blog post/project on the public gallery) per year</li>
</ul>
<p><b>Experience (What We're Looking For):</b></p>
<ul>
<li>Curiosity and a desire to learn new topics and skills</li>
<li>Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku's customers, and the general public</li>
<li>The ability to clearly explain complex topics to technical as well as non-technical audiences</li>
<li>Over 5 years of experience with Python and SQL</li>
<li>Over 5 years of experience with building ML models and using ML tools (e.g., sklearn)</li>
<li>Experience with LLMs</li>
<li>Experience with data visualization and building web apps with Python frameworks (Dash, Streamlit)</li>
<li>Understanding of underlying data systems such as Cloud architectures and SQL</li>
<li>Bachelor's or Master's program focused on: Statistics, Computer Science, or a related field</li>
<li><b>Location: Must be located within the CST, MST, and PST time zones</b></li>
</ul>
<p><b>Bonus points for any of these:</b></p>
<ul>
<li>Experience using Dataiku DSS</li>
<li>Experience with Consulting and/or Customer-facing Data Science roles</li>
<li>Experience in the Manufacture &amp; Defense sector</li>
<li>Experience with Data Engineering or MLOps</li>
<li>Experience developing WebApps in Javascript</li>
<li>Experience building APIs</li>
<li>Passion for teaching or public speaking</li>
</ul><div></div><div>
<div><b>What are you waiting for!</b></div>
<div>At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you'd like to learn even more about working here, you can visit our Dataiku LinkedIn page.</div>
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<div><i>Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: </i>reasonable-accommodations@dataiku.com</div><br>
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<div></div><div><div><b>Protect yourself from fraudulent recruitment activity</b></div>
<div><i>Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity </i><i>here.</i></div></div></div></div>

Senior Data Scientist, West

ADGM

<p>Maseera&rsquo;s AI and Big Data Center of Excellence covers the range of Data and AI skills, from Strategy, Governance, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Maseera&rsquo;s broader Strategy and professional practice, we are bringing together the unique ability to drive end-to-end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.</p><p>If you&rsquo;re looking for a challenging career while working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be based in Abu Dhabi, and you&rsquo;ll be working with cutting-edge technologies, and you will have the opportunity to develop a wide range of new skills on the job.</p><p>In our team you will:</p><ul><li>Be at the forefront of the Fintech industry, and you&rsquo;ll create, own and make it a reality for our subsidiaries looking to better serve their customers.</li><li>Become an integral part of our Data and AI team with the credibility, expertise and dependable insights.</li><li>Develop your skills with our world class training programmes.</li><li>Drive and implement real world solutions into production that drive business value across our company.</li><li>Work alongside global teams to collaborate and deliver the best solutions for our customers.</li><li>Drive your career progression via our structured career development programs.</li></ul><p>In this role you will:</p><ul><li>Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics.</li><li>Understand business requirements and support the development of business cases.</li><li>Run discovery analytics to identify new and innovative opportunities.</li><li>Partner with developers and engineers to deploy machine learning algorithms to deliver business value.</li><li>Define approaches to embed and scale machine learning models.</li><li>Build reusable assets and solutions and develop best practices for current and future business problems.</li><li>Communicate and provide guidance to senior leadership and teams.</li><li>Contribute data science expertise to new enterprise activities.</li><li>Shape DS Strategy and the delivery of DS solutions.</li><li>Operate across Headquarter and multiple subsidiaries.</li><li>Develop others by bringing your unique knowledge and skill sets to the wider practice.</li></ul><p>We are looking for:</p><ul><li>B.Sc./Master/PhD in computer science, data science, AI or relevant field</li><li>8-10 years of work experience in data science, machine learning, and business analytics</li><li>Practical experience in coding languages e.g. Python, R, Scala, etc.; (Python preferred)</li><li>Proficiency in database technologies e.g. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc.</li><li>Experienced working with structured and also unstructured data e.g. Text, PDFs, jpgs, call recordings, video, etc.</li><li>Knowledge of machine learning modelling techniques and how to fine-tune those models e.g. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc.</li><li>Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, hugging face, etc.</li><li>Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge.</li><li>Experience of using Cloud technologies e.g. AWS, GCP or Azure.</li><li>Specialised visualisation techniques e.g. D3.js, ggplot etc.</li><li>Strong verbal/written communication &amp; data presentation skills</li><li>Awareness of Large Language Models (LLMs) and a strong enthusiasm for continuous learning and staying updated with the latest advancements in the field</li></ul><p><b>Set yourself apart:</b></p><ul><li>Willingness and ability to learn quickly and apply creative thinking to finding great solutions and drive their implementation</li><li>Ability to successfully build relationships with customers and stakeholders</li><li>Mastery of problem solving and solutioning</li><li>Proven history and background in Fintech Industry</li></ul><p>Job Type: Full-time</p><p>Pay: AED35,000.00 per month</p><p>Experience:</p><ul><li>Financial Institues: 3 years (Required)</li></ul><p>Location:</p><ul><li>Abu Dhabi (Required)</li></ul><p>Work Location: In person</p>

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