applied data scientist

Delta Faucet Company

<div><p>At Delta Faucet, we are committed to transforming everyday experiences with water through innovative products and exceptional service. As a leader in the plumbing industry, we take pride in our dedication to quality, sustainability, and customer satisfaction. We believe that diverse perspectives strengthen our mission to create solutions that inspire and elevate the lives of all our customers. We welcome individuals from all backgrounds to join us on this journey toward inclusivity and excellence.</p><p></p><p><b>
Your Role at Delta Faucet</b></p><p>
Are you passionate about using data science, artificial intelligence, and advanced analytics to propel decisions? If you are interested in driving meaningful change for a growth focused consumer products brand, this is an opportunity to join the market-leading Delta Faucet Company team as we use analytics to turbocharge strategic insights!</p><p>
Reporting to the Manager of Data Science and Analytics, this role will work with analytics and domain specialists across the business to deliver high-impact insights and data science solutions. You will develop advanced analytical models, experimentation tests, applied AI techniques, and partner with business stakeholders to translate complex data into clear, actionable recommendations that support the company&rsquo;s growth initiatives.</p><p></p><p><b><br>
Responsibilities</b></p><p>
As an Applied Data Scientist within Delta Faucet Company&rsquo;s Analytics Center of Excellence (ACoE), you will act as an owner of high impact analysis and data science initiatives that support complex, ambiguous business decisions. This role focuses on advanced analytics, experimentation, and applied AI.</p><ul><li>
Independently lead end-to-end analytics and data science projects, from problem framing through delivery of actionable insights.</li><li>
Apply statistical methods, machine learning, and analytical modeling to solve business problems related to growth, customer behavior, market dynamics, and operational efficiency.</li><li>
Develop and maintain analytical data models and curated datasets, partnering with data engineering and BI teams.</li><li>
Build AI and machine learning solutions that are aligned with business needs.</li><li>
Collaborate closely with business stakeholders to translate analytical findings into clear recommendations.</li><li>
Present data-driven recommendations to leaders across the organization, including tactical and C-suite.</li></ul><p></p><p><b><br>
Qualifications</b></p><ul><li><b>
4+ years</b> of experience in data science, advanced analytics, or applied machine learning roles.</li><li><b>
4+ years</b> of hands-on experience applying statistical methods and analytical modeling to real business problems.</li><li><b>
4+ years</b> of experience using <b>Python</b> for data analysis, modeling, and experimentation.</li><li><b>
4+ years</b> of experience writing and refining complex <b>SQL</b> queries against large, structured datasets.</li><li><b>
3+ years</b> of experience partnering directly with business stakeholders to translate analytical findings into actionable recommendations.</li><li><b>
2+ years</b> of experience working in a modern analytics platform (e.g., <b>Databricks</b>, Spark/PySpark, or similar).</li><li><b>
1+ years</b> of hands-on‑ experience applying <b>generative AI technologies</b> (e.g., LLM APIs, task‑specific GenAI workflows) in an enterprise analytics environment.</li><li>
Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field.</li></ul><p>
Preferred Qualifications</p><ul><li>
2+ years of experience with analytics engineering and data modeling, including building reusable, well-documented analytical datasets; familiarity with medallion architecture (bronze/silver/gold) preferred.</li><li>
1+ years of experience with model monitoring, experiment tracking, and model evaluation in production settings.</li><li>
1+ years of experience with conjoint analysis or other stated-preference research methods.</li></ul><p></p><p><b><br>
Why Join Us?</b></p><p>
At Delta Faucet Company, our people are our greatest assets. We value different perspectives and fostering an inclusive environment. You&rsquo;ll have the opportunity to shape the future of our brand, working alongside passionate professionals committed to excellence and innovation. Join us to lead progressive growth and make a significant impact within a leading organization.</p><p>
Here are some of the benefits we offer for your personal and professional growth:</p><ul><li><b>
Culture:</b> Recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.</li><li><b>
Wellbeing:</b> Comprehensive benefit plans; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.</li><li><b>
Learning &amp; Development:</b> LinkedIn Learning access; internal opportunities to work on projects cross-company.</li><li><b>
Social Impact:</b> Four employee-led and self-directed Business Resource Groups; Paid volunteer day annually; Employees share their time, skills and talent with charities and nonprofit organizations across the U.S. and around the globe.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Company: Delta Faucet Company</b></h2><p></p>
Full time<p></p>
Hiring Range: $88,700.00 - $139,260.00 USD<p></p>
Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills.<p></p><p><i>
Delta Faucet Company</i> <i>(the &ldquo;Company&rdquo;) is an equal opportunity employer and</i> <i>we </i><i>strive to employ the most qualified individuals for every position</i><i>.</i> <i>The Company makes employment decisions only based on merit. It is the Company&rsquo;s policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all people involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.</i></p><p></p><p><i>
Delta Faucet Company </i><i>is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States. Please click on the following links for more information.</i></p><p></p><p><i>
E-Verify Participation Poster:</i><i> </i>English &amp; Spanish</p><p><i><br>
E-verify Right to Work Poster:</i><i> </i><i>English</i><i>,</i><i> </i><i>Spanish</i></p><p></p>
#LI-Remote</div>

Applied Data Scientist

dunnhumby

<div><div><p>dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.</p>
<p>
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestl&eacute;, Unilever and Metro.</p></div><div></div><p><b><br>
Our mission:</b> to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail &ndash; one of the world's most competitive markets, with a deluge of multi-dimensional data &ndash; dunnhumby today enables businesses all over the world, across industries, to be Customer First.</p>
<p><b>
Job Title: </b>Senior Applied Data Scientist</p>
<p><b>
Job Location: </b>3825 Edwards Road, #600, Cincinnati, OH 45209 (May work remotely)</p>
<p><b>
Job Duties:</b></p>
<p><b>
WHY I DO MY JOB | Job purpose</b></p>
<p>
To lead and execute projects to distil complex problems into compelling insights, using the best of dunnhumby science and making recommendations that resonate with clients and lead them to action. May telecommute 100% of the time from their home office, consistent with dunnhumby's remote work policy.</p>
<p><b>
WHAT I DO | Key accountabilities</b></p>
<ul>
<li>Build strong relationships with internal contacts &amp; external clients to ensure full understanding of client challenges, growth strategy and agreed measures of success for the project.</li>
<li>Investigate and implement the most appropriate analytical technique for each project, role modelling the re-use &amp; further development of global solutions or code written by others.</li>
<li>Deploy data science algorithms and market products on chosen tech stack for efficient and cost-effective delivery.</li>
<li>Identify opportunities to grow client engagement by proactively solving client's strategic questions, using a mix of products and advanced data science techniques that support executive decision making and calls to action.</li>
<li>Participate in client meetings as required to present methodology and solutions through effective story telling techniques.</li>
<li>Work closely with global products team to provide market feedback for enhancing an existing product offering or augmenting the catalogue with a market-based product that can become global offering.</li>
<li>Ensure smooth running of your data analytics projects and support junior team members with their projects.</li>
<li>Lead by example by following dunnhumby Quality Assurance processes, ways of working and coding standards.</li>
<li>Provide advice and support to colleagues to resolve challenges and support code reviews.</li>
</ul>
<p><b>Job requirements:</b></p>
<ul>
<li>Bachelor's degree (or foreign educational equivalent) in Computer Science, Mathematics, Applied Statistics, Engineering or related field.</li>
<li>In addition to the degree, must have at least 4 years of experience in each of the following:</li>
<li>Software development, utilizing methodologies and tools such as Agile (Scrum Master) and Code Merge, and programming in languages including PySpark, Python, Flask/Dash, C++, and HTML; and</li>
<li>Quality Assurance (QA) and Testing, including the development, execution, and maintenance of automated and manual testing frameworks.</li>
</ul>
<p>Within this, must have at least 2 years of experience in each of the following:</p>
<ul>
<li>Handling large data volumes with modern data processing tools, e.g. by using Hadoop, Spark, SQL, and Python;</li>
<li>Data Interpretation and Insight Analysis; performing data interpretation, insight generation, and analytical analysis to support business and technical decision-making;</li>
<li>Programming experience on any standard data mining and modelling packages such as Python and R; and</li>
<li>Applying advanced statistical models and machine learning algorithms to develop and implement solutions to complex analytical and business problems.</li>
</ul><div><p><b>
What you can expect from us</b></p>
<p>
We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.</p>
<p>
You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.</p>
<p>
And we don't just talk about diversity and inclusion. We live it every day &ndash; with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.</p>
<p><b>
Our approach to Flexible Working
</b></p><p>At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.</p>
<p>
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.</p>
<p>
For further information about how we collect and use your personal information please see our Privacy Notice which can be found <b>(here)</b></p></div></div>

Senior Applied Data Scientist

Jerry

<div><div><div><b>Why </b><b>Jerry.ai</b></div><ul><li><div>
Join a profitable pre-IPO startup with capital, traction, and runway ($240M funded | 60X revenue growth in 5 years | $2T market size)</div></li><li><div>
Work closely with brilliant leaders and teammates from companies like Amazon, Better, LinkedIn, McKinsey, BCG, Bain</div></li><li><div>
Disrupt a massive market and take us to a $10B business in the next few years</div></li><li><div>
Our growth is driven by forward-thinking technology: Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article</div></li><li><div>
Be immersed in a talent-dense environment and greatly accelerate your career growth</div></li><li><div>
Impact millions of users experience with car maintenance and auto insurance</div></li></ul><p></p><p><b>
   About the opportunity</b></p><p>
We are looking for a <b>detail-obsessed Applied Data Scientist</b> to join our growing team. The ideal candidate is passionate about the foundational layer of all data analysis: ensuring our data is clean, accurate, and reliable. You are a detective at heart, driven by a deep curiosity to understand complex data systems, and someone who finds immense satisfaction in transforming messy, ambiguous datasets into pristine assets that drive critical business decisions.</p><p></p><p>
This role is perfect for a scientist who wants to own the entire journey: from taking raw application data to generating clean inputs, to building models and delivering tangible value in real-world applications. You will be a central point of contact, communicating with engineers, product managers, and business analysts to ensure data integrity from collection to analysis.</p><p></p><p>
   <b>How you will make an impact</b></p><ul><li><div><b>
Model Ownership: </b>Participate in the full modeling lifecycle, from statistical analysis and experimentation to building, validating, and iterating on machine learning models that address critical business challenges</div></li><li><div><b>
Data Quality: </b>Own the data foundation by preparing, cleaning and transforming raw, complex data into high-quality features for modeling. Proactively identify and handle missing values, outliers, and inconsistencies</div></li><li><div><b>
Problem Investigation: </b>Investigate data discrepancies (tracking bugs, ETL errors, definitional issues) and design automated frameworks to ensure data accuracy</div></li><li><div><b>
Cross-Functional Collaboration: </b>Act as a strategic liaison, collaborating with data Engineering and product teams to drive the data strategy and definition of our centralized feature store, ensuring it becomes the 'single source of truth' for all ML models</div></li><li><div><b>
Documentation: </b>Create and maintain clear, authoritative documentation for data sources, cleaning processes, and variable definitions</div></li></ul><p></p><p><b>
   Who You Are</b></p><ul><li><div><b>
Obsessed with Details:</b> You have an exceptional eye for detail and a low tolerance for errors. You believe that accuracy and precision are non-negotiable</div></li><li><div><b>
A Strategic Thinker:</b> You can see the bigger picture and are passionate about building robust systems and processes that will stand the test of time</div></li><li><div><b>
Proactive &amp; Persistent:</b> You don't wait for problems to find you. You actively seek out data quality issues and are persistent in seeing an investigation through to its resolution.</div></li><li><div><b>
Curious &amp; Adaptive: </b>You are inherently curious and possess a strong desire to understand how things work. You're comfortable with ambiguity and skilled at breaking down complex problems</div></li></ul><p></p><p><b>
   Requirements</b></p><ul><li><div><b>
Education:</b> Bachelor&rsquo;s degree (PhD preferred) in a quantitative field (Statistics, Physics, Mathematics, etc.)</div></li><li><div><b>
Programming:</b> Strong proficiency in Python (Pandas/NumPy) and SQL for complex querying and data manipulation</div></li><li><div><b>
Data Quality: </b>Hands-on experience with data cleaning techniques and data validation frameworks</div></li><li><div><b>
Tooling: </b>Familiarity with data visualization tools to help identify and communicate data issues</div></li></ul><p></p><p><i>
While we appreciate your interest and application, only applicants under consideration will be contacted.</i></p><p></p><p><i>
Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.
</i></p><p></p><p><i>Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at </i><i>recruiting@jerry.ai</i></p><p></p><p><i>
The successful candidate&rsquo;s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants.
</i></p><p></p><p><i>We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits.</i></p><p></p><p><b>
About Jerry.ai:</b></p><p>
Jerry.ai is America&rsquo;s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.</p><p></p><p>
Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.</p><p></p><p>
We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers &mdash; and we&rsquo;re just getting started.</p><p></p><p>
Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.</p><p></p><p>
Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that&rsquo;s disrupting a massive market.</p></div></div><p></p>

Associate Applied Data Scientist

Davidson Technologies, Inc.

<div><div><b>What sets Davidson apart?</b><br>
<ul><li><b>100% paid medical benefits - Prioritizing your health and well-being.</b></li><li><b>Competitive 401(k) with company match - Investing in your future.</b></li><li><b>Tuition reimbursement - Supporting your professional growth.</b></li></ul></div><p><b>
Nominated for </b><b><i>The Best Place to Work</i></b><b>, </b><b><i>The Best Workplace for Millennials</i></b><b> and voted </b><b><i>The Best Place for Working Parents!</i></b></p><p>
Davidson is distinguished in the aerospace and missile defense industry, in part, because of its excellence in hiring exceptional experts, engineers and software developers dedicated to delivering advanced, intelligent technology solutions in defense of our nation.
</p><p>Davidson is seeking a Senior Data Scientist in Huntsville, Alabama to design, build, and deploy ML systems to control and optimize VLF transmissions. Using your experience with applied ML, real-time systems, and physical domain modeling, you will work closely with RF engineers, software engineers, and end customers to develop an intelligent Al/ML stack that monitors environmental conditions, predicts signal propagation impacts, and supports dynamic adjustments of transmission parameters to maintain signal stability and performance. You will take models from concept through production deployment (MLOps) and ensure they operate reliably in mission-critical environments.</p><p>
*Contingent Upon Award*</p><p><b>
Job Responsibilities:</b></p><ul><li>
Develop ML models to leverage weather and environmental data feeds for disaster event prediction<br>
</li><li>
Build predictive models to improve preventative maintenance capabilities<br>
</li><li>
Help to integrate models into decisions systems that optimize transmission system operations and performance<br>
</li><li>
Translate model outputs into actionable, explainable recommendations<br>
</li><li>
Collaborate with engineering team (RF, Systems, Software) to deploy models into real-time production systems<br>
</li><li>
End-to-end ML lifecycle management using MLOps best practices<br>
</li><li>
Communicate complex technical concepts clearly to engineers and customers<br>
</li><li>
Contribute to system architecture decisions for scalable/reliable Al/ML solutions</li></ul><p><b><br>
Job Requirements:</b></p><ul><li>
Bachelor's degree or higher in Data Science, Computer Science, Engineering, Physics or related field<br>
</li><li>
8+ years of experience in applied data science or machine learning roles<br>
</li><li>
Strong foundation in machine learning and statistical modeling<br>
</li><li>
Demonstrable experience translating stakeholder requirements into technical ML strategies that deliver tangible customer value<br>
</li><li>
Hands-on experience deploying ML models into production environments<br>
</li><li>
Practical experience with MLOps (model pipelines, monitoring, reproducibility)<br>
</li><li>
Must be a U.S. citizen</li></ul><p><b>
Pref</b><b>erred Qualifications:</b></p><ul><li>
Familiarity with RF systems, signal propagation, or electromagnetic modeling</li><li>
Familiarity with surrogate modeling of physics-based systems, such as weather</li><li>
Familiarity with predictive maintenance (CBM+)<br>
</li><li>
Experience integrating ML into real-time systems</li></ul><p><b><br>
Clearance:</b></p><ul><li>
Currently holds an Active DoD Secret Clearance or is able to obtain a Secret Clearance</li></ul></div>

Sr. Data Scientist - HSV, AL

Oscar Health

<div>
 Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.
 <br/>
 <br/>
 Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.
 <br/>
 <br/>
 As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you&rsquo;ll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.
 <br/>
 <br/>
 This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight.
 <br/>
 <br/>
 You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.
 <br/>
 <br/>
 <strong>
  Work Location:
 </strong>
 This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule.
 <br/>
 <br/>
 <strong>
  Pay Transparency:
 </strong>
 The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
  </li>
  <li>
   Own projects end-to-end, including problem definition, implementation, validation, and iteration
  </li>
  <li>
   Deliver high-quality analytical and modeling outputs with limited manager oversight
  </li>
  <li>
   Collaborate closely with data science peers and cross-functional partners across business units
  </li>
  <li>
   Help ensure data science processes and outputs align with broader team strategies and roadmaps
  </li>
  <li>
   Provide guidance or informal mentorship to junior data scientists or analysts when needed
  </li>
  <li>
   Contribute to improving data science practices, tooling, and documentation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
  </li>
  <li>
   2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
  </li>
  <li>
   2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s degree in a quantitative or technical field
  </li>
  <li>
   Knowledge of or previous work experience in health care or health insurance
  </li>
  <li>
   Experience mentoring or supporting junior team members
  </li>
  <li>
   Experience deploying or supporting models in production environments
   <br/>
   <br/>
  </li>
 </ul>
 This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
 <br/>
 <br/>
 At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
 <br/>
 <br/>
 <strong>
  Pay Transparency:
 </strong>
 Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
 <br/>
 <br/>
 <strong>
  Artificial Intelligence (AI):
 </strong>
 Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.
 <br/>
 <br/>
 <strong>
  Reasonable Accommodation:
 </strong>
 Oscar applicants are considered solely based on their qualifications, without regard to applicant&rsquo;s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.
 <br/>
 <br/>
 <strong>
  California Residents:
 </strong>
 For information about our collection, use, and disclosure of applicants&rsquo; personal information as well as applicants&rsquo; rights over their personal information, please see our Privacy Policy.
 <br/>
 <br/>
</div>


Data Scientist II

Andiamo

<div>
 Senior Data Scientist
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Partner with product and engineering to turn data into decisions. You&rsquo;ll design experiments, build predictive models, and deliver insights that move key metrics.
 <br/>
 <br/>
 What You&rsquo;ll Do
 <br/>
 <br/>
 <ul>
  <li>
   Frame problems, define success metrics, and design A/B tests or quasi-experiments.
  </li>
  <li>
   Build models for prediction, ranking, segmentation, or forecasting.
  </li>
  <li>
   Develop data pipelines and features with engineering partners.
  </li>
  <li>
   Communicate results clearly to technical and non-technical audiences.
  </li>
  <li>
   Establish best practices for measurement, causal inference, and model monitoring.
   <br/>
   <br/>
  </li>
 </ul>
 What We&rsquo;re Looking For
 <br/>
 <br/>
 <ul>
  <li>
   6+ years in applied data science or analytics.
  </li>
  <li>
   Proficiency in Python, SQL, and ML libraries (pandas, scikit-learn, PyTorch/TensorFlow).
  </li>
  <li>
   Experience with experimentation, causal methods, or time-series.
  </li>
  <li>
   Strong stakeholder management and storytelling with data.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Andiamo
  <br/>
  <br/>
 </strong>
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 <br/>
 <br/>
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 <br/>
 <br/>
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>


Senior Data Scientist - Medical Software Company

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div> <div>Strong experience in AI, Machine Learning, and Applied Data Science
</div> <div>Hands on expertise in LLMs / Generative AI / NLP / Deep Learning / Predictive Analytics
</div> <div>Experience in designing and deploying AI solutions on cloud platforms (Azure preferred)
</div> <div>Solid understanding of MLOps, model lifecycle management, monitoring, and governance
</div> <div>Experience with Agentic AI architectures and end to end AI solution design
</div> <div>Knowledge of Responsible AI, data privacy, security, and compliance
</div> <div>Ability to rapidly build prototypes / PoCs and demonstrate business value
</div> <div>Preferred industry exposure: Manufacturing, Supply Chain, Retail (nice to have)
</div> <div>Certifications preferred:
</div><div>o Azure AI Engineer
</div><div>o Azure Data Scientist
</div><div>o Equivalent AI / ML certifications</div><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><ul><li> Engage with customers to identify AI opportunities and translate business problems into scalable AI solutions
</li></ul><ul><li> Lead AI discovery workshops, advisory sessions, and Proof of Concepts
</li></ul><ul><li> Architect end to end AI / Agentic AI solutions including:
</li></ul><ul><li> Data ingestion
</li></ul><ul><li> Model development &amp; evaluation
</li></ul><ul><li> Deployment, monitoring, and governance
</li></ul><ul><li> Collaborate with Data Engineering, Cloud, Application Development, and Industry SMEs
</li></ul><ul><li> Provide AI thought leadership, best practices, and solution guidance
</li></ul><ul><li> Review AI solution architectures to ensure quality, scalability, and compliance
</li></ul><ul><li> Develop reusable AI assets, accelerators, and reference architectures
</li></ul><ul><li> Mentor and guide junior AI engineers and delivery teams
</li></ul><ul><li> Support AI capability scale up across manufacturing and cross industry portfolios</li></ul><br>
<div><br>
</div><div>Generic Managerial Skills, If any
</div><ul><li> Strong stakeholder management and customer engagement skills
</li></ul><ul><li> Ability to lead solution discussions with senior business and technology leaders
</li></ul><ul><li> Excellent communication, presentation, and storytelling skills
</li></ul><ul><li> Mentoring and technical leadership capabilities
</li></ul><ul><li> Problem solving mindset with rapid execution focus</li></ul><br>
<div><br>
</div><div>Base Salary Range: $100,000 - $150,000 per annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:</div><br>
<div><br>
<div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</div><br>
<div><br>
</div><div>#LI-SV2
</div><div>#LI-KUMARAN
</div></div></div></div></div><div><div><div><b>Location</b></div>
<div>Westfield, NJ</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Domain Consultant</div>
</div><div><div><b>Job Id</b></div>
<div>406651</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$150,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

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