data analyst

senior data engineer

associate data analyst

data & cloud engineer

data scientist

data science specialist

Stott and May

<div>
 <p>
  We&rsquo;re working with a digital client looking to bring on an experienced
  <strong>
   Data Scientist
  </strong>
  to support applied analytics and ML initiatives across an established cloud data platform.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You&rsquo;ll join an existing delivery team as a senior individual contributor, working hands on across modeling, experimentation, and production deployment, with visibility across multiple business domains.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This suits someone practical and commercially minded, comfortable taking models from idea through to production.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Six month initial contract with strong likelihood of rolling extensions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Competitive hourly rates depending on experience, 40 hrs/week.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Engagement via W2 or personal LLC only.
  <strong>
   No third parties.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Fully remote, aligned to EST.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you&rsquo;ll be doing
  </strong>
 </p>
 <p>
  &bull; Building predictive and statistical models for real business use cases
 </p>
 <p>
  &bull; Working with large structured and semi structured datasets
 </p>
 <p>
  &bull; Partnering with data engineering to productionize models
 </p>
 <p>
  &bull; Designing experiments and validating model performance
 </p>
 <p>
  &bull; Translating business problems into analytical solutions
 </p>
 <p>
  &bull; Supporting model monitoring and continuous improvement
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we&rsquo;re looking for
  </strong>
 </p>
 <p>
  &bull; Strong experience as a Data Scientist in production environments
 </p>
 <p>
  &bull; Solid Python and SQL
 </p>
 <p>
  &bull; Experience with ML frameworks (scikit-learn, XGBoost, PyTorch, etc.)
 </p>
 <p>
  &bull; Strong statistics and modeling fundamentals
 </p>
 <p>
  &bull; Comfortable working with messy, real-world data
 </p>
 <p>
  &bull; Experience in agile, delivery-focused teams
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to have
  </strong>
 </p>
 <p>
  &bull; Cloud experience (AWS / Azure / GCP)
 </p>
 <p>
  &bull; Feature engineering and model deployment exposure
 </p>
 <p>
  &bull; Experience supporting product or growth teams
 </p>
 <p>
  &bull; Basic MLOps familiarity
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why this role
  </strong>
 </p>
 <p>
  &bull; Applied data science, not research
 </p>
 <p>
  &bull; Real business impact
 </p>
 <p>
  &bull; Flexible engagement model, extensions likely
 </p>
 <p>
  &bull; Opportunity to work with experienced data teams
 </p>
</div>


Data Scientist

Career Renew

<div>
 <span>
  &hairsp;Career Renew is recruiting for one of its clients a Product Data Scientist - Crypto - this is a fully onsite role for London or New York based candidates. Salary range: 250-300K USD yearly.
 </span>
 <br/>
 &nbsp;
 <br/>
 <br/>
 <br/>
 <br/>
 <p>
  <span>
   <strong>
    About the Role
   </strong>
  </span>
 </p>
 <br/>
 <p>
  <span>
   We're seeking an experienced, versatile Product Data Scientist who thrives in a fast-paced environment. In this role,&nbsp;
  </span>
  <span>
   you'll have the freedom to identify opportunities, design and implement solutions, and measure their impact
  </span>
  <span>
   across our product. You'll collaborate with cross-functional teams while maintaining ownership of your
  </span>
  <span>
   projects from conception to completion.
  </span>
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <br/>
 <p>
  <span>
   <strong>
    What You'll Do
   </strong>
  </span>
 </p>
 <br/>
 <ul>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Design, run, and analyze A/B tests to optimize our consumer product experience
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Proactively identify problems and opportunities through data analysis
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Build and maintain dashboards to track key metrics and visualize insights
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Develop models to understand user behavior and predict outcomes
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Collaborate with product and engineering teams to implement data-driven solutions
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Drive projects independently from problem identification through solution implementation
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Communicate complex findings clearly to technical and non-technical stakeholders
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Help establish data best practices and methodologies
    </span>
   </p>
   <br/>
   <p>
    &nbsp;
   </p>
   <br/>
  </li>
  <br/>
 </ul>
 <br/>
 <p>
  <span>
   <strong>
    Requirements
   </strong>
  </span>
 </p>
 <br/>
 <ul>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     2-3 years of data science experience at a startup, scale-up, or FAANG/equivalent company
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Proficiency with Python/R and SQL/BigQuery
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Strong experience designing, running, and analyzing A/B tests on consumer products
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Demonstrated ability to work autonomously, managing entire projects from ideation to implementation
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Experience translating data insights into actionable recommendations
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Excellent communication skills, with the ability to present complex findings clearly
    </span>
   </p>
   <br/>
  </li>
  <br/>
 </ul>
 <br/>
 <p>
  &nbsp;
 </p>
 <br/>
 <p>
  <span>
   <strong>
    Preferred Qualifications
   </strong>
  </span>
 </p>
 <br/>
 <ul>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Experience with cryptocurrency and blockchain data
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Strong data visualization skills (especially with Grafana)
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Experience working with event tracking data (especially FullStory)
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Advanced knowledge of statistical methods and causal inference
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Experience building and maintaining data pipelines (especially with Dataform)
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Familiarity with Machine Learning methods and applications
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Experience in consumer tech products or fintech
    </span>
   </p>
   <br/>
  </li>
  <br/>
 </ul>
 <br/>
 <p>
  &nbsp;
 </p>
 <br/>
 <p>
  <span>
   <strong>
    What We're Looking For
   </strong>
  </span>
 </p>
 <br/>
 <p>
  <span>
   We value generalists over specialists. The ideal candidate has breadth across the data science field rather
  </span>
  <span>
   than deep expertise in just one area. You should be proactive, self-motivated, and comfortable taking initiative
  </span>
  <span>
   to find problems worth solving. You'll thrive in our environment if you enjoy autonomy and are excited about
  </span>
  <span>
   having end-to-end ownership of your work.
  </span>
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <br/>
 <p>
  <span>
   <strong>
    Benefits
   </strong>
  </span>
 </p>
 <br/>
 <ul>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Competitive salary and equity package
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Flexible work arrangements
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Comprehensive health benefits
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Professional development budget
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Collaborative, fast-paced environment
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     Opportunity to shape the future of [industry/product]
    </span>
   </p>
   <br/>
  </li>
  <br/>
  <li>
   <br/>
   <p>
    <span>
     We're building a diverse team and encourage applications from candidates of all backgrounds
    </span>
   </p>
   <br/>
  </li>
  <br/>
 </ul>
 <br/>
 <br/>
 <br/>
 <br/>
 <span>
  Compensation &amp; Package
 </span>
 <br/>
 <br/>
 <p>
  <span>
   Base Salary + Equity/Tokens
  </span>
 </p>
</div>


Product Data Scientist - Crypto

Capgemini

<div><div><div><p>New York</p><div>
Machine Learning Engineer</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p><div><div><div><div>
Location:</div></div><div><p>
New York, NY</p></div></div><div><div><div>
Job Description:</div></div><div><ul><li>Analyze large and complex datasets to derive actionable insights and inform business strategies.</li><li>Develop and implement advanced machine learning models and algorithms.</li><li>Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.</li><li>Communicate findings and recommendations to stakeholders and executive leadership.</li><li>Stay updated with the latest trends and technologies in data science and machine learning.</li></ul></div></div><div><div><div>
Basic Qualifications:</div></div><div><ul><li>Proficient in Pyspark, Py-Torch &amp; GenAI,</li><li>Experience in Python, Pandas, NumPy, Scikit-Learn</li><li>Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related field.</li><li>Minimum of 8 years of experience in a data science role.</li><li>Proficiency in programming languages such as Python or R..</li><li>Strong understanding of machine learning techniques and algorithms.</li></ul></div></div><div><div><div>
Preferred Qualifications:</div></div><div><ul><li>Experience with modern ML frameworks such as PyTorch, TensorFlow</li><li>Experience with big data technologies such as PySpark</li><li>Experience with ML model training within cloud infra such as Azure, AWS, GCP</li><li>Proven track record of successfully deploying and optimizing ML models in a production environment.</li><li>Excellent communication and visualization skills to effectively present data insights to non-technical stakeholders.'</li></ul></div></div><div><div><div>
Life at Capgemini:</div></div><div><div>
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:<br>
Flexible work<br>
Healthcare including dental, vision, mental health, and well-being programs<br>
Financial well-being programs such as 401(k) and Employee Share Ownership Plan<br>
<ul><li>Paid time off and paid holidays</li><li>Paid parental leave</li><li>Family building benefits like adoption assistance, surrogacy, and cryopreservation</li><li>Social well-being benefits like subsidized back-up child/elder care and tutoring</li><li>Mentoring, coaching and learning programs</li><li>Employee Resource Groups</li><li>Disaster Relief</li></ul></div></div></div></div><p>
The base compensation range for this role in the posted location is: $96000 to $110000</p><p>
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p>
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p>Disclaimers</p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
358568-en_US</div></div><div><div>
Posted on</div><div>
24 Feb 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
New York</div></div><div><div>
Business unit</div><div>
FS</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

Machine Learning Engineer

Lyft

<div>
 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
 <br/>
 <br/>
 Data Science is central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems from shaping critical business decisions to building algorithms that power our products. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing.
 <br/>
 <br/>
 As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platform's core services, addressing diverse problems in optimization, prediction, machine learning, and inference. On the Fulfillment team, you will collaborate with cross-functional teammates and stakeholders to enhance algorithms for matching rideshare supply and demand in real time and develop product offerings to improve the experiences of Lyft Riders and Drivers.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Leverage data and analytic frameworks to direct creations and improvements of algorithms and models underpinning the team&rsquo;s systems and products
  </li>
  <li>
   Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.
  </li>
  <li>
   Perform exploratory data analysis to gain a deeper understanding of the problem
  </li>
  <li>
   Construct and fit statistical, machine learning, or optimization models
  </li>
  <li>
   Write production modeling code; collaborate with Software Engineers to implement algorithms in production
  </li>
  <li>
   Design and implement both simulated and live traffic experiments
  </li>
  <li>
   Analyze experimental and observational data; communicate findings; facilitate launch decisions
  </li>
  <li>
   Develop measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes
  </li>
  <li>
   Drive collaboration and coordination with cross-functional teams
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields
  </li>
  <li>
   2+ years professional experience in a technology company setting
  </li>
  <li>
   Proven experience with building and evaluating machine learning models
  </li>
  <li>
   Proficiency with Python and working in a production coding environment
  </li>
  <li>
   Passion for solving unstructured and non-standard mathematical problems
  </li>
  <li>
   End-to-end experience with data, including querying, aggregation, analysis, and visualization
  </li>
  <li>
   Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Great medical, dental, and vision insurance options with additional programs available when enrolled
  </li>
  <li>
   Mental health benefits
  </li>
  <li>
   Family building benefits
  </li>
  <li>
   Child care and pet benefits
  </li>
  <li>
   401(k) plan to help save for your future
  </li>
  <li>
   In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  </li>
  <li>
   18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  </li>
  <li>
   Subsidized commuter benefits
  </li>
  <li>
   Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
  <br/>
  <br/>
 </em>
 <em>
  Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
  <br/>
  <br/>
 </em>
 <em>
  The expected base pay range for this position in the New York City area is $128,000 -$160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
 </em>
</div>


Data Scientist, Algorithms, Optimization - Fulfillment

Tata Consultancy Services (TCS)

<p></p><div><div><div><div><div>AI Specialist
</div><div>Must Have Technical/Functional Skills</div><br>
<div><br>
</div><div>Technical Expertise:</div><br>
<div><br>
</div><ul><li>Proficiency in AI/ML frameworks (TensorFlow, PyTorch), Generative AI models, and NLP techniques,</li></ul><br>
<div><br>
</div><div>Adobe&rsquo; suite of products</div><br>
<div><br>
</div><ul><li>Hands-on experience with cloud AI services (AWS, Azure AI, Google Cloud AI) and tools like GitHub</li></ul><br>
<div><br>
</div><div>Copilot.</div><br>
<div><br>
</div><ul><li>Strong programming skills in Python and familiarity with APIs for integration.</li></ul><br>
<div><br>
</div><div>Domain Knowledge:</div><br>
<div><br>
</div><ul><li>Understanding of digital experience platforms, marketing technology stacks (Adobe, Sitecore,</li></ul><br>
<div><br>
</div><div>Salesforce, etc.), and data ecosystems.</div><br>
<div><br>
</div><ul><li>Exposure to personalization engines, recommendation systems, and conversational AI.</li></ul><div><br>
</div>
<div></div><br>
<div>Roles &amp; Responsibilities</div><br>
<div><br>
</div><div>The AI Specialist will be a key contributor in TCS Interactive&rsquo;s DX Practice, focusing on designing, developing,</div><br>
<div><br>
</div><div>and deploying AI-driven solutions that enhance customer experience, marketing technology, and digital</div><br>
<div><br>
</div><div>transformation initiatives. This role demands strong technical expertise in AI/ML and Generative AI, combined</div><br>
<div><br>
</div><div>with a deep understanding of digital experience platforms and enterprise ecosystems.</div><div><br>
</div>
<div></div><br>
<div>Solution Development:</div><br>
<div><br>
</div><div>&middot; Design and implement AI-powered solutions for personalization, automation, and customer engagement across marketing, commerce, and service channels. &middot; Develop and optimize machine learning models for predictive analytics, recommendation engines, and conversational AI. Innovation &amp; Experimentation: &middot; Drive PoC and MVP-led experimentation for AI use cases in DX, leveraging frameworks &middot; Collaborate with design studios and engineering teams for rapid prototyping and creative AI engineering. Integration &amp; Deployment: &middot; Integrate AI capabilities with enterprise platforms such as Adobe Experience Cloud, AEM, CDP, and marketing automation tools. &middot; Ensure compliance with Responsible AI frameworks, geo-specific regulations, and data privacy standards. Collaboration &amp; Advisory: &middot; Work closely with DX Advisors, Experience Designers, and Martech SMEs to align AI solutions with client objectives. &middot; Participate in client workshops and strategic discussions to position AI capabilities effectively.</div><br>
<div><br>
</div><div>Generic Managerial Skills, If any</div><br>
<div><br>
</div><ul><li>Strong analytical and problem-solving abilities.</li></ul><br>
<div><br>
</div><ul><li>Excellent communication and stakeholder management skills.</li></ul><br>
<div><br>
</div><div>Ability to work independently and in cross-functional teams.
</div><div>Education
</div><div>Bachelor&rsquo;s Degree</div><br>
<div><br>
</div><div>Salary Range: $180,000 - $230,000 a year</div><br>
<div><br>
</div><div>#LI-JH1</div><br>
<div><br>
</div></div></div></div><div><div><div><b>Location</b></div>
<div>New York, NY</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Specialist</div>
</div><div><div><b>Job Id</b></div>
<div>401107</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$180,000-$230,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Specialist -Artificial Intelligence

MC INTERNATIONAL US LLC

<p><b>About Us</b></p><p>MC Korean Skincare is a fast-growing beauty brand dedicated to science-backed, sensitive-skin-friendly products. As we dominate the TikTok Shop (TTS) landscape, we are looking for a <b>TikTok Shop Specialist</b> who doesn&rsquo;t just &quot;post videos,&quot; but understands the mechanics of viral growth and e-commerce conversion. If you live and breathe TikTok and know how to scale a brand in the K-Beauty space, we want you.</p><p><b>Key Responsibilities</b></p><ul><li><b>Full-Cycle TTS Management:</b> Independently manage the TikTok Shop (TTS) Seller Center backend. This includes product listing optimization, flash sale setups, inventory monitoring, and ensuring overall account health/compliance.</li><li><b>Performance-Driven Content:</b> Lead the creative direction and execution of &quot;shoppable&quot; short-form videos. Use <b>CapCut</b> to produce high-retention content that balances K-Beauty aesthetics with high conversion rates (GPM).</li><li><b>Affiliate Network Expansion:</b> Proactively identify, recruit, and manage relationships with TikTok creators. Negotiate commission rates, manage sample distributions, and track creator-led ROI.</li><li><b>Trend Harvesting &amp; Execution:</b> Daily monitoring of viral audio, hashtags, and beauty &quot;hacks.&quot; You must be able to rapidly translate global trends into actionable, brand-specific content strategies.</li><li><b>Livestream Strategy &amp; Support:</b> Lead the technical and tactical setup for TikTok Livestreams. Monitor real-time data during streams to adjust pinned products, engagement tactics, and flash sales.</li><li><b>Data Analytics &amp; Reporting:</b> Conduct weekly performance reviews. Track key metrics such as views, retention rates, click-through rates (CTR), and conversion to provide data-backed suggestions for strategy pivots.</li><li><b>Strategic Communication:</b> Act as a bridge between brand vision and local execution. Ensure all social media output aligns with the brand&rsquo;s global science-backed identity while remaining culturally relevant to the US market.</li></ul><p><b>Qualifications (Requirements)</b></p><ul><li><b>Language:</b> <b>English (Fluent/Native). Mandarin (Preferred but not required).</b> * <i>Note:</i> While Mandarin is a plus for communicating with our global strategy team, we prioritize candidates who are exceptional communicators and can effectively translate brand vision into local TikTok trends.</li><li><b>Proven TikTok Experience:</b> At least 1-2 years of hands-on experience managing a TikTok Shop (TTS) or a brand account with a track record of growth. <b>Deep familiarity with the TikTok Shop Seller Center is highly preferred.</b></li><li><b>Strong &quot;Net Sense&quot;:</b> You are a power user of TikTok, Instagram, and Pinterest. You understand the nuance between &quot;aesthetic content&quot; and &quot;high-conversion content.&quot;</li><li><b>Technical Mastery:</b> Expert-level proficiency in <b>CapCut</b> (speed ramping, transitions, trending audio integration) and <b>Canva</b>.</li><li><b>Problem Solver:</b> A high degree of autonomy. You are expected to stay ahead of TikTok&rsquo;s ever-changing algorithm and policy updates.</li><li><b>Education:</b> Bachelor&rsquo;s degree in Marketing, Media, or a related field.</li></ul><p><b>What We Offer</b></p><ul><li><b>Competitive Pay:</b> Starting at $20-$25/hr with performance-based bonuses.</li><li><b>Leadership Track:</b> Direct path to <b>Operations Manager</b> or <b>Head of Social Commerce</b> for high-performers.</li><li><b>In-Depth Training:</b> Access to proprietary e-commerce scaling strategies used for TikTok and Amazon.</li><li><b>Perks:</b> Trendy Midtown office environment, energetic team culture, and a generous monthly K-Beauty product allowance.</li></ul><p><b>How to Apply</b></p><p>Please submit the following:</p><ul><li><b>Resume.</b></li><li><b>Case Study/Portfolio:</b> Link to TikTok accounts you have managed or specific videos you have produced that achieved significant reach or sales.</li><li><b>Availability:</b> Full-time or Part-time (specific hours per week).</li></ul><p>Job Types: Full-time, Part-time</p><p>Pay: $20.00 - $25.00 per hour</p><p>Work Location: In person</p>

TikTok Shop Specialist/ Operations

Columbia University

<div><ul><li>Job Type: Officer of Administration</li>
<li>Regular/Temporary: Regular</li>
<li>Hours Per Week: 35</li>
<li>Salary Range: $66,300 - $66,300</li>
</ul><div><i>The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.</i></div><br>
<div></div>
<p></p>
<p>Position Summary</p>
<p>
The Clinical Research Coordinator I will play an integral role in the coordination and conduct of research studies, including clinical trials in the Columbia University Irving Medical Center Department of Rehabilitation and Regenerative Medicine in the Programs of Physical Therapy (PT)</p>
<p></p>
<p>Responsibilities</p>
<ul>
<li>Participate in the management and execution of clinical trials/research studies, and assist with clinical outcome measurements for individuals with neuromuscular and developmental disorders.</li>
<li>Assist with clinical trial/research study data collection and data management.</li>
<li>Explain the clinical research protocol to patients and their families in a clear, easy-to-understand manner, ensuring their questions are answered appropriately.</li>
<li>Obtain informed consent and/or oversee the informed consent process from research subjects prior to any study-related procedures.</li>
<li>Effectively communicate with study participants to schedule, arrange transportation, interview participants for necessary medical history, and administer appropriate questionnaires.</li>
<li>Operate equipment related to physical activity accelerometers and maximal cycle exercise tests, and obtain measurements of heart rate, blood pressure, and ratings of perceived exertion, which are necessary for participant safety.</li>
<li>Assist with motor performance and gait assessments, and assist in the interpretation of the physical activity and exercise test data and statistical analysis of the study data.</li>
<li>Assist the investigators in the design, planning, and implementation of new research projects.</li>
<li>Assist in writing protocols, preparing grant submissions, and maintaining research files.</li>
<li>Monitor adherence to regulatory requirements and Good Clinical Practice.</li>
<li>Communicate with research teams at Columbia University and other institutions.</li>
<li>Provide administrative assistance to the study team and work in a multidisciplinary team setting, and assist in the coordination of research studies and clinical trials, including IRB and regulatory documentation.</li>
<li>Contribute to the development of study-related documents and/or materials.</li>
<li>Show initiative in further developing research-related activities and work independently with minimal supervision in an organized, neat, and detailed manner.</li>
<li>Work in collaboration with the principal investigators and project team on all study-related activities.</li>
<li>Prepare recruitment plans and revise as necessary to meet target enrollment goals.</li>
<li>Comply with Columbia University and Hospital policies and procedures related to Clinical Research.</li>
<li>Perform other related duties and responsibilities as assigned/requested.</li>
</ul>
<p></p><p>Minimum Qualifications</p>
<ul>
<li>Bachelor's degree or equivalent in education and experience required.</li>
</ul>
<p></p><p>Preferred Qualifications</p>
<ul>
<li>Education in exercise physiology and/or experience working in an exercise testing lab.</li>
<li>Previous research experience.</li>
<li>Certified or eligible for certification by the American College of Sports Medicine as a Health Fitness Specialist, Clinical Exercise Specialist, or Registered Clinical Exercise Physiologist.</li>
<li>Science-related Bachelor&rsquo;s degree.</li>
</ul>
<p></p><p>Other Requirements</p>
<ul>
<li>Must possess strong oral and written communication skills.</li>
<li>Must have the ability to work in teams, must be organized, attentive to detail, and possess a positive, friendly, collaborative, and professional demeanor.</li>
<li>Must be able to work independently within a dynamic team environment.</li>
<li>Must be flexible with changing priorities and able to communicate diplomatically and professionally.</li>
<li>Knowledge of clinical or general research techniques is required.</li>
<li>Knowledge of basic statistics is a plus.</li>
<li>Proficiency in PC word processing and databases required; knowledge of REDCap is highly desirable.</li>
<li>Participation in the medical surveillance program.
<ul><li>Contact with patients and/or human research participants.</li>
</ul></li><li>Successful completion of applicable compliance and systems training requirements.</li>
</ul>
<p></p><p>Equal Opportunity Employer / Disability / Veteran</p>
<p>
Columbia University is committed to the hiring of qualified local residents.</p></div>

Clinical Research Coordinator I

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