associate, digital finance transformation - data scientist - private equity performance improvement (open to all us locations)

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associate, digital finance transformation - data scientist - private equity performance improvement (open to all us locations) Jobs in Los Angeles

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business unit data analyst

data engineer

Consensus Cloud Solutions

<div><div>Consensus Cloud Solutions is a publicly traded, leading digital cloud fax and interoperability solutions organization in the United States and globally, focusing on connecting and empowering healthcare providers, payers, care teams, and technology innovators to unify multiple systems that wouldn't otherwise talk to each other. Consensus is a trailblazer in our industry and believes that data transformation will reshape the world of healthcare.

Founded over 25 years ago, Consensus leverages its technology heritage to move from simple digital documents to advanced healthcare standards (HL7/FHIR) for secure data transport, as well as Natural Language Processing (NLP) and Artificial Intelligence (AI) to convert unstructured to structured, analytics-ready data, helping users unveil information that is meaningful and actionable for better patient care.
Consensus leads the industry in data exchange solutions and we're only getting started! With exciting new initiatives on the horizon, we are continuing our strategic expansion and we are looking to add to our diverse team of innovators.

Now is the ideal time to join us in our mission to solve healthcare's biggest challenges, and work collaboratively with a diverse team of like-minded self-starters and partners to accomplish it.

Consensus Cloud Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive and equitable environment for all employees. We offer many remote and hybrid career opportunities.</div>
How you will impact the organization&hellip;

The Senior Data Engineer will be responsible for designing and building the infrastructure to aggregate data from multiple sources for reporting and analytics. The role involves designing, developing and maintaining a robust data infrastructure to support data-driven decisions. Supporting the finance team, this position will lead the development of scalable data processing pipelines and building data sets from unstructured data. This position will manage all aspects of the data and analytics systems from stream configuration to ETL/ELT to aggregate tables and cubes for reporting and analytical needs. Serving as a player/coach, leading and mentoring a team of data professionals by providing guidance and support to achieve objectives. 


The value you will deliver&hellip;
<ul>
<li>The role involves designing, developing and maintaining a robust data infrastructure to support data-driven decisions.</li>
<li>Supporting the finance team, this position will lead the development of scalable data processing pipelines and building data sets from unstructured data.</li>
<li>This position will manage all aspects of the data and analytics systems from stream configuration to ETL/ELT to aggregate tables and cubes for reporting and analytical needs.</li>
<li>Serving as a player/coach, leading and mentoring a team of data professionals by providing guidance and support to achieve objectives.</li>
<li>Perform data analysis.</li>
<li>Perform other duties and responsibilities as required, assigned, or requested. Consensus reserves the right to add or change duties at any time.</li></ul> 


What you will bring to the table&hellip;
<ul>
<li>5+ years of experience in data engineering, backend infrastructure or software development.</li>
<li>Familiarity with semantic layers in data architecture.</li>
<li>Cloud and data stack familiarity: Azure, Google and AWS.</li>
<li>Experience with ETL/ELT design and development, and OLAP tools to support business applications.</li>
<li>Acquiring and preparing data from disparate sources.</li>
<li>Data quality management.</li>
<li>Expertise with API design, build, implementation and maintenance.</li>
<li>Building and maintaining data lakes/lakehouses and ingestion pipelines (files, CDC, streaming).</li>
<li>Practical experience in data governance (policies, standards, stewardship, DQ rules, issue management).</li>
<li>Strong change management record (training, communications, adoption, stakeholder alignment).</li>
<li>Comprehend core business and financial concepts, including financial statements and SaaS KPIs.</li>
<li>Ability to successfully work independently and collaborate interdepartmentally.</li>
<li>Cross-functional leadership and influencing skills.</li>
<li>Strategic vision with operational execution discipline.</li>
<li>Strong problem-solving and critical thinking skills.</li>
<li>In-depth knowledge of data architecture, including data modeling, warehousing principles, and the development of efficient data transformation pipelines.</li>
<li>Expertise in designing and deploying scalable data solutions using SQL and Python, with a focus on data transformation, automation and analytics.</li>
<li>Extensive experience with modern data platforms and tools, particularly Databricks and Airflow, with a demonstrated ability to harness their full capabilities.</li>
<li>Knowledge of standard engineering productivity tools such as Github, JIRA, Confluence, etc.</li>
<li>Data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).</li>
<li>Experience with scheduling tools (e.g., Airflow or Composer).</li>
<li>BI tools Tableau and PowerBI.</li>
<li>Automate manual processes, monitor system performance, troubleshoot issues, and continually optimize data infrastructure for efficiency and reliability.</li>
<li>Using AI to facilitate automated pipeline creation, data cleaning and monitoring to scale and optimize processes.</li></ul> 


You will stand out if you also have&hellip;
<ul>
<li>Bachelor's degree in Computer Science, Engineering or a Quantitative related field.</li></ul> 


Additional details&hellip;
<ul>
<li>Location requirements: Fully remote within the U.S. (Los Angeles or Las Vegas preferred.)</li>
<li>Travel requirements: Up to 10% travel.</li>
<li>Physical requirements: Must be able to sit for long periods, as well as, handle long periods of screen time.</li>
<li>Technology requirements: Reliable, high speed internet.</li>
<li>Eligible for sponsorship: No</li></ul> 
The salary range for this role is $175,000-$190,000 USD annually. The total compensation package for this position is negotiable and may also include annual performance bonus, ESPP, enhanced time off packages and benefits. This job doesn't have an expiration date and will remain open until a qualified candidate is hired.<div>
We are not accepting agency submissions for this role.

To learn more about us visit consensus.com</div></div>

Senior Data Engineer- Finance

Zenlayer

<div>Zenlayer Inc. is looking for Internet Data Center (IDC) Engineers/Technicians to station at its data center located in Downtown Los Angeles. The job requires physical strength and shift flexibility to accommodate full IDC service coverage. 


Duties &amp; Responsibilities:
<ul>
<li>Strong working knowledge with servers and network hardware/components, copper and fiber infrastructure installations and testing, data center product support applications, software (Windows, Linux, SSH, RDP, Putty, etc.) configurations and data center infrastructure management (DCIM) related tools.</li>
<li>Complete cabling and installation in server, router, switch according to work orders as well as MACs (Moves/Adds/Changes) orders in designated data centers, including devices receiving, labeling, racking, powering and network connection, configuration, troubleshooting and break-fixing.</li>
<li>Maintain a safe and secure operation environment by reporting any violations to the direct supervisor, adhere to security and safety of data protection protocols, error logging practices and support operating procedures.</li>
<li>Maintain asset management and compliance with audit, daily log tracking, fulfilling documentation, retention practices and inventory checking.</li>
<li>Provide smart-hands assistance at various sites within specified SLA (Service Level Agreement) response time.</li>
<li>Provide status reporting regarding data center service availability, performance, and capacity utilization.</li>
<li>Coordinate equipment/material receiving, shipping and RMA processing support when required.</li>
<li>Provide general cleaning on raised floor, cabinet/rack exterior surfaces, work benches and other areas as needed on a regular basis.</li>
<li>On-call duties as needed. Traveling for on-site service support or deployment when needed.</li></ul> 


Required Qualifications:
<ul>
<li>Must be action oriented &ndash; understand task priority and the urgency of meeting deadlines. Well-known who, when, how to troubleshoot networking systems onsite and hands-on hardware updates. Not only do you have a team player mentality, but you are ready to infuse passion into your work in internet networking.</li>
</ul><ul><li>Fluent in Mandarin Chinese (listen, speak, read, and write)</li>
<li>Knowledge of networking, servers and OS. Understand TCP/IP.</li>
<li>Ability to use IDC hand tools.</li>
<li>Ability to lift heavy loads up to 50 lbs. Must be able to work at heights from a ladder and in noisy or confined space.</li>
<li>Ability to travel 20%+ of time when required.</li>
<li>Must be self-motivated, detail oriented, positive in approach, professional and help create, develop and implement project process improvements.</li>
<li>Excellent communication skills.</li>
<li>Ability to rotate shifts including holidays, off hours (i.e., graveyard shift), weekend and vacation.</li></ul> 


Preferred Qualification:
<ul>
<li>Bachelor&rsquo;s or higher degree preferred.</li>
<li>More than 1 year of above IDC experience.</li>
<li>Previous managerial position in this category.</li>
</ul><ul><li>Any above-describe IDC qualifications, certifications or rewards.</li></ul> 


About Zenlayer:

Zenlayer (www.zenlayer.com) is a global edge cloud services company headquartered in Los Angeles, with branches and affiliates in Shanghai, Singapore and multiple international locations. Businesses utilize Zenlayer&rsquo;s platform to deploy applications closer to the users and improve their digital and AI experience. Zenlayer offers edge computer networking and application services up to 300 locations globally. 
Additional Information:
<ul>
<li>Schedule: Full-time</li>
<li>Job Type: Regular</li>
<li>Work Location: Downtown Los Angeles, CA</li>
<li>Benefit Eligibility: Yes</li>
<li>Salary: Compensation package will be commensurate with experience.</li>
<li>Zenlayer offers a competitive compensation package, including health, dental and vision insurance, paid holidays, vacation, personal and sick days, 401(k) plan, wellness benefits, etc.</li>
<li>Candidates with US work eligibility will be prioritized as we will not be able to consider candidates who require via sponsorship at this time.</li></ul></div>

Data Center Engineer

Freeform

<div><h2 class="jobSectionHeader">SOFTWARE ENGINEER (EDGE DATA &amp; TELEMETRY)</h2>

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

In this role, you will be responsible for architecting and implementing factory edge services, backend data pipeline infrastructure and advanced telemetry capabilities of our metal 3D printing systems. You will work with petabyte-scale data feeds, enabling Freeform engineers to rapidly access critical data across the factory ecosystem. You will work with our machine learning team to provide data pipelines that feed the printing industry's first GPU-based ML platform. Ultimately, your code will enable the first production scale, high quality, and fully automated metal 3D printing factory.

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!

Responsibilities:
<ul>
<li>Design and implement a horizontally scalable platform that ingests millions of hardware sensor data points per second.</li>
<li>Deliver high-quality data services that enable the machine learning team to access real-time and historical print data.</li>
<li>Develop durable, efficient database solutions for real-time queries and large-scale analytics workloads.</li>
<li>Create and operate data pipelines to collect, transform, and query petabyte-scale sensor and telemetry data.</li>
<li>Write, test, and deploy reliable, maintainable software that improves automation and data quality across the factory ecosystem.</li>
<li>Perform system calibrations, capture quality metrics, and monitor the long-term health and performance of printing systems.</li>
</ul>
Basic Qualifications:
<ul>
<li>3+ years of professional experience in software development.</li>
<li>Proficiency writing, deploying, and maintaining performance oriented backend services (preferably C++, Rust, Go, or Java).</li>
<li>Experience developing robust data pipeline software.</li>
</ul>
Nice to Have:
<ul>
<li>Degree in computer science, engineering, mathematics, or related field.</li>
<li>Experience with Arrow, Parquet, Iceberg, Spark, Kafka.</li>
<li>Experience with time series databases, big data warehousing solutions and cloud computing.</li>
<li>Experience with containerized applications and deployment via Kubernetes.</li>
<li>Experience deploying to and working with physical hardware.</li>
<li>Experience working with high-speed high-volume data processing pipelines.</li>
<li>Familiarity with 3D data and graphics.</li>
<li>Creative thinker able to apply first principles reasoning to solve complex problems.</li>
<li>Excellent verbal and written communication skills</li>
</ul>
Location:
<ul>
<li>Based in Hawthorne, our vertically integrated facility brings technology development, R&amp;D, and production together under one roof. We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.
</li>
</ul>What We Offer:
<ul>
<li>We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.</li>
<li>We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.</li>
<li>Benefits
<ul><li>Significant stock option packages</li>
<li>100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)</li>
<li>Life insurance</li>
<li>Traditional and Roth 401(k)</li>
<li>Relocation assistance provided</li>
<li>Paid vacation, sick leave, and company holidays</li>
<li>Generous Paid Parental Leave and extended transition back to work for the birthing parent</li>
<li>Free daily catered lunch and dinner, and fully stocked kitchenette</li>
<li>Casual dress, flexible work hours, and regular catered team building events</li>
</ul></li><li>Compensation
<ul><li>As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company's current stage of development and allows the employee to grow and develop within a role.</li>
<li>In addition to the significant stock option package, the estimated salary range for this role is $115,000-$150,000, inclusive of all levels/seniority within this discipline.</li>
</ul></li><li>Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.</li></ul></div>

Software Engineer (Edge Data & Telemetry)

<div><h2 class="jobSectionHeader">SENIOR SOFTWARE ENGINEER (EDGE DATA &amp; TELEMETRY)</h2>

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

In this role, you will be responsible for architecting and implementing factory edge services, backend data pipeline infrastructure and advanced telemetry capabilities of our metal 3D printing systems. You will work with petabyte-scale data feeds, enabling Freeform engineers to rapidly access critical data across the factory ecosystem. You will work with our machine learning team to provide data pipelines that feed the printing industry's first GPU-based ML platform. Ultimately, your code will enable the first production scale, high quality, and fully automated metal 3D printing factory.

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!

Responsibilities: 

<ul>
<li>Design and implement a horizontally scalable platform that ingests millions of hardware sensor data points per second.</li>
<li>Deliver high-quality data services that enable the machine learning team to access real-time and historical print data.</li>
<li>Develop durable, efficient database solutions for real-time queries and large-scale analytics workloads.</li>
<li>Create and operate data pipelines to collect, transform, and query petabyte-scale sensor and telemetry data.</li>
<li>Write, test, and deploy reliable, maintainable software that improves automation and data quality across the factory ecosystem.</li>
<li>Perform system calibrations, capture quality metrics, and monitor the long-term health and performance of printing systems.</li>
</ul>
Basic Qualifications:
<ul>
<li>5+ years of professional experience in software development.</li>
<li>Proficiency writing, deploying, and maintaining performance oriented backend services (preferably C++, Rust, Go, or Java).</li>
<li>Experience developing robust data pipeline software.</li>
</ul>
Nice to Have:
<ul>
<li>Degree in computer science, engineering, mathematics, or related field.</li>
<li>Experience with Arrow, Parquet, Iceberg, Spark, Kafka.</li>
<li>Experience with time series databases, big data warehousing solutions and cloud computing.</li>
<li>Experience with containerized applications and deployment via Kubernetes.</li>
<li>Experience deploying to and working with physical hardware.</li>
<li>Experience working with high-speed high-volume data processing pipelines.</li>
<li>Familiarity with 3D data and graphics.</li>
<li>Creative thinker able to apply first principles reasoning to solve complex problems.</li>
<li>Excellent verbal and written communication skills</li>
</ul>
Location:
<ul>
<li>Based in Hawthorne, our vertically integrated facility brings technology development, R&amp;D, and production together under one roof. We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.
</li>
</ul>What We Offer:
<ul>
<li>We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.</li>
<li>We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.</li>
<li>Benefits
<ul><li>Significant stock option packages</li>
<li>100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)</li>
<li>Life insurance</li>
<li>Traditional and Roth 401(k)</li>
<li>Relocation assistance provided</li>
<li>Paid vacation, sick leave, and company holidays</li>
<li>Generous Paid Parental Leave and extended transition back to work for the birthing parent</li>
<li>Free daily catered lunch and dinner, and fully stocked kitchenette</li>
<li>Casual dress, flexible work hours, and regular catered team building events</li>
</ul></li><li>Compensation
<ul><li>As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company's current stage of development and allows the employee to grow and develop within a role.</li>
<li>In addition to the significant stock option package, the estimated salary range for this role is $150,000-$250,000, inclusive of all levels/seniority within this discipline.</li>
</ul></li><li>Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.</li></ul></div>

Senior Software Engineer (Edge Data & Telemetry)

TikTok

Technology
 
Tech Lead Software Engineer, Ads Infra - Big Data - USDS
 
Location
 :
 
Los Angeles
 
Employment Type
 :
 
Regular
 
Job Code
 :
 
A07325
 
Responsibilities
 
About the team
 The ads system at TikTok operates on a massive scale and serves millions of advertisers, clients and influencers across the world. The quality of the ads system highly depends on the ability to handle massive data, and machine learning is widely used to improve the quality of our ads. The USDS Ads Infra team is responsible for building highly efficient, scalable and stable infrastructure to support Ads machine learning, ranking and big data systems.
 
We are seeking innovative Software Engineers to join our team. You will drive key technical projects and play a pivotal role in elevating our engineering capabilities.
 
Responsibilities
 <ul>
<li>Drive projects committed to building and operating innovative big data computing frameworks and storage systems to empower large-scale Ads serving and machine learning systems.</li>
<li>Communicate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts.</li>
<li>Drive the innovation efforts, and bring in new ideas and technologies.</li>
</ul>
Qualifications
 
Minimum Qualifications
 <ul>
<li>Bachelor's degree or above, major in computer science or related technical disciplines.</li>
<li>5+ years of hands-on experience in big data processing and storage frameworks, e.g. Hadoop, Flink, Spark, Kafka, Hive, HBase, Redis, RocksDB, etc.</li>
<li>Strong Computer Science fundamentals (coding, algorithms, data structures, software design) and problem-solving skills.</li>
<li>Ability to think critically and to formulate solutions to problems in a clear and concise way;</li>
<li>Effective communication skills and a sense of ownership and drive.</li>
</ul>
Preferred Qualifications
 <ul>
<li>Experience in Ads domain.</li>
<li>Experience with building large-scale ranking and machine learning infrastructure.</li>
<li>Experience of Peta Byte level data processing.</li>
</ul>
Job Information
 
【For Pay Transparency】Compensation Description (Annually)
 
The base salary range for this position in the selected city is $198360 - $416100 annually.
 
​
 
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
 
​
 
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
 
​
 
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
 
​
 
For Los Angeles County (unincorporated) Candidates: 
​
 
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
 
​
 
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
 
​
 
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
 
​
 
3. Exercising sound judgment.
 
​
 
About USDS
 
TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.
 
​
 
​
 
On-site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.
 
​
 
Why Join Us
 
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
 
​
 
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
 
​
 
​
 
Diversity & Inclusion
 
​
 
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
 
​
 
USDS Reasonable Accommodation
 
USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
 
https://tinyurl.com/USDS-RA

Tech Lead Software Engineer, Ads Infra - Big Data - USDS

Innodata

<div>US Remote &ndash; Near SF Preferred (Travel as required, SFO, EWR, IGI)
Who we are:
Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are the AI technology solutions provider-of-choice to 4 out of 5 of the world&rsquo;s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.
By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we&rsquo;re helping usher in the promise of clean and optimized digital data to all industries. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 3,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We&rsquo;re poised for a period of explosive growth over the next few years.
Position Summary:
The next frontier for AI is the physical world, and Innodata is building the data factory that powers Physical AI for frontier robotics and humanoid systems. As a Robotics Solutions Engineer, you will be a trusted technical partner to some of the world&rsquo;s most innovative robotics and model‑building teams, combining hands‑on robotics/data engineering with a customer‑facing, pre‑sales to post-sales mindset. You will design and showcase data capture solutions, lead technical pilots, samples, and demos, and help customers turn real‑world robotics problems into concrete datasets, pipelines, and evaluation strategies that unlock real model and business impact. This is a high‑visibility role that directly influences strategic deals and long‑term partnerships.
Responsibilities:<ul><li>
Collaborate with Innodata Client Partners to scope and deliver technical pilots and POCs, earning the &ldquo;technical win&rdquo; with new and existing robotics customers.</li><li>
Work closely with Engineering and Product to design and implement robotics data capture solutions (real‑world, lab, and simulation), including sensors/rigs, teleop/UMI flows, and egocentric capture pipelines.</li><li>
Collaborate directly with customers&rsquo; robotics and ML teams to understand their architectures (VLMs, VLAs, ACTs, world models, policies), define data and evaluation requirements, design execution plans, and translate them into actionable Statements of Work.</li><li>
Design and run customized demos, playbooks, and experimental workflows that showcase robotics data capabilities and shorten the time from idea to production pilot.</li><li>
Act as the technical owner of the customer experience: unblock integrations, debug data/workflow issues, and advise on best practices for data quality, coverage, and evaluation.</li><li>
Collaborate closely with Robotics Project Leads to ensure clean handoff from pre‑sales design to delivery, align on scope and success metrics, and support smooth execution of data collection programs.</li><li>
Bring structured, frontline feedback from customers back into Innodata&rsquo;s product and roadmap discussions, helping shape a scalable Robotics &amp; Physical AI data practice and platform.</li><li>
Represent Innodata at key industry events, conferences, and workshops, and contribute as a thought leader through talks, blog posts, and open artifacts that share learnings from our robotics data work.</li></ul> 
<ul><li>
Strong engineering background in Robotics, Mechatronics, Computer Science, or a related field.</li><li>
3+ years of experience developing with Python and one or more additional languages commonly used in robotics/ML (e.g., C++, Java), plus comfort working in Linux‑based environments.</li><li>
Hands‑on experience with robotics or Physical AI systems (e.g., perception/control stacks, teleoperation, simulation, or robotics data pipelines).</li><li>
Desire to conduct ongoing research and be a thought leader in world models and robotics models.</li><li>
Excellent presentation and communication skills, with the technical credibility to work with both senior executives and front‑line engineers.</li><li>
Proven ability to manage complex technical projects, juggle multiple customer engagements, and operate with a strong sense of ownership and attention to detail.</li><li>
High comfort working cross‑functionally with Sales, Product, Engineering, and Operations in a fast‑moving environment, including some customer travel as needed.</li></ul>
Bonus points if you have:<ul><li>
Prior experience in sales engineering, solutions engineering, or technical partnerships for data/AI/robotics products.</li><li>
Experience selling or supporting complex technical solutions with enterprise customers.</li><li>
Familiarity with large‑scale dataset design, evaluation frameworks, or robotics data marketplaces.</li></ul> 
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission&rsquo;s guide at https://consumer.ftc.gov/articles/job-scams.
If you believe you&rsquo;ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.
#LI-NS1</div>

Robotics Solutions Engineer – Robotics Data Collection & Physical AI

Tiger Analytics

<div>Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in Data Science modelling, within the CPG domain. The ideal candidate will have a proven track record of designing, developing, and deploying scalable forecasting solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.
Responsibilities: 
<ul><li>
Work on the latest applications of data science to solve business problems</li><li>
Work directly with client stakeholders to translate business problems into high level analytics solution designs</li><li>
Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value</li><li>
Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably</li><li>
Responsible for managing analytics projects, collaborating with client stakeholders and Tiger&rsquo;s team situated globally
</li><li>Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights</li><li>
Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution</li></ul> 

Requirements 
<ul><li>
8 - 13 years of professional work experience with at least 5 years in Data Science</li><li>
Ability to engage with executive/VP-level stakeholders from client&rsquo;s team to translate business problems to high level analytics solution approach</li><li>
Solid understanding of statistical and machine learning algorithms</li><li>
Strong project management and team management skills and ability to work with global teams</li><li>
Strong SQL skills and hands-on experience with analytic tools like R &amp; Python
</li><li>Exposure to cloud platforms and big data systems such as Hadoop, HDFS, Hive is a plus</li><li>
Experience working with CPG Domain companies.</li><li>
Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes</li><li>
Bachelor's in Business Analytics or equivalent work experience.</li></ul> 

Benefits 
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.</div>

Lead Data Scientist(CPG)- Data Science

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