Job Closed

This listing is no longer active.

Senior Data Scientist

Data ScientistData ScientistFull TimeRemoteSeniorTeam 11-50

Location

Australia

Posted

68 days ago

Salary

0

Seniority

Senior

Job Description

Senior Data Scientist

Future Evidence Foundation

Our mission at the Future Evidence Foundation is to dramatically improve lives by changing the way the world creates and uses knowledge. Covidence is our SAAS platform that enables health & science research teams to rapidly synthesise and uncover actionable insights from existing research in the world. We’re a well-funded not-for-profit and a world leader in our field. The Opportunity Covidence is seeking a senior level Data Scientist to join our team. You will be reporting to the CTO and be responsible for discovering, developing and deploying solutions to accelerate the systematic review workflow. As our third Data Scientist you will work within a cross functional team Product & Engineering team of 15 people. The team has already launched features that use external machine learning models e.g. to drive sort orders, to classify studies. We now want you to help us build and operationalise our own models. We’re early on this journey and have an initial implementation of extracting structured information from study documents, but we’re keen for you to help define the future roadmap and develop the next generation of AI and automation features for our users. The potential for Large Language Models (LLMs) and Natural Language Processing (NLP) to unlock scientific knowledge and make a difference in the world is huge. This role is a chance to use your skills to be part of that change. The ideal candidate will be a great communicator that has had recent hands-on experience building and deploying ML models that have solved user problems. You’ll get to: - Collaborate with the product and engineering team to identify areas for automation and improvement - Designing and developing state-of-the-art NLP algorithms, with a focus on orchestrating LLMs across various providers (OpenAI, Anthropic, Google, etc.) to optimize for cost, latency, and accuracy. - Analyse data and conduct experiments to improve the accuracy and efficiency of model - Build and deploy models that can be integrated into production applications - Evaluate emerging LLM tools and frameworks to maintain a competitive edge in research automation - Collaborate with leading ML practitioners in the research synthesis space to fundamentally change the way the world derives accurate insights from global research output What you bring: - Most importantly, we are looking for candidates who have worked closely with product and engineering teams. - Strong problem-solving skills with a data-driven mindset for complex research challenges. - Deep hands-on experience developing LLM solutions, including prompt engineering, fine-tuning, and multi-modal API integration from different providers. - Experience in LLM evaluation and benchmarking, specifically using robust and efficient frameworks to quantify model performance and factual consistency. - Strong programming skills in Python with experience in deploying ML/LLM models to production applications. - Experience with NLP techniques and tools for semantic analysis and information extraction. - Experience in building Retrieval Augmented Generation (RAG) pipelines using vector Databases (e.g. Milvus, Pinecone, or Chroma) and efficient retrieval strategies. - Experience with data visualization tools and common database technologies. - Bonus: - Expertise in building autonomous agentic loops using frameworks like LangGraph or CrewAI to handle multi-step reasoning tasks. - Experience in the use of data science to advance scientific research. - Knowledge of medical and/or scientific terminologies and ontologies. The Perks and Benefits: - Competitive salaries relevant to your experience level, reviewed twice yearly - Remote team so you can live and work in Australia or NZ, as long as you can offer at least a 4-hour workday crossover with the AEST time zone - Work week flexibility - Full time, part time or explore a flexible arrangement with us that best suits you and us - Gifted time off between Christmas and New Years - Support for parents with 14 weeks paid primary carers leave and 8 weeks paid leave for partners, available after only 6 months tenure - Access to wellbeing services & programs to support your wellbeing - A knowledge allowance and time so you keep learning and developing - Monthly home allowance to set up and run your home office. The Interview Process: If you are interested in this opportunity, please hit APPLY and send us through your details. We’ll be back in touch with you shortly. Should we proceed further you can expect 3 interviews: - Round 1: 20 min Zoom interview for us to get to know each other - Round 2: 60 min Zoom interview diving into your working style, experience and motivation - Round 3: 90 min Zoom interview where you’ll complete a practical exercise with some of our team members We don’t use AI in our screening process, please don’t use it in your application or interviews. If you are excited about the opportunity to shape the future of systematic reviews and have a track record of delivering innovative solutions, please apply. We look forward to hearing from you!

Related Categories

Related Job Pages

More Data Scientist Jobs

Full TimeRemoteTeam 11-50

Job Title: Data Lead Company: BLN24 About Us: We find strength in teamwork-a better you is a better us BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client’s end-state, and then seamlessly integrating within each Agency’s organization to improve and enhance strategic and technical operations and deployments. Position Overview: BLN24 is seeking a Data Lead to join our team. The Data Lead will join our project team to help our organization to drive data/analytics and IA technical proposals and captures. For our clients to design, implement, and govern organization’s data ecosystem. This includes designing and implementing Real-Time Data Fabric and pipeline architectures and data preparation for AI, structured specifically to minimize hallucinations in generative AI tools and maximize predictive accuracy in ML models. In addition, this role also requires expertise in data migration, transformation, ETL and implementation of data analytics tools/platforms like Data Bricks, Palantir, AWS Glue, Azure Data Factory and other platforms. Key Responsibilities: - Lead data team for BLN24 and client’s data and AI/ML projects. - Design and develop ETL data pipelines using various tool and services. - Lead technical captures related to data, AI or analytics - Lead and drive proposal development - Architect, implement and deploy Data Bricks platform. - Design data lakes and - Operationalize AI models (LLMOps) or building RAG-based applications. - Understanding of NIST 800-53, GDPR, or HIPAA compliance as it relates to AI training data. - Ability to design data systems not just for human analysts, but for Autonomous AI Agents. - Develop prototypes, MVPs and applications using Data Bricks or other data platforms. Required Qualifications: - Bachelor’s degree in information technology or a related field. - 4+ years of experience in Data Engineering/Architecture, ETL with at least 3 years specifically on the Databricks platform. - Leading technical volumes of proposals, solutioning and data/analytics captures - Expertise in Python (Expert), SQL, PySpark, Delta Lake - Lead the design of a Medallion Architecture (Bronze/Silver/Gold) on Databricks - Architect and maintain Vector Databases - Develop data pipelines and ETL operations - Experience creating visualizations - Understand and utilizing AI/ML, data migration and data transformation - Experience with data governance, privacy and data security - Expertise in Data Bricks, DBX, Databricks Workflows or Apache Airflow - Excellent communication and collaboration skills. - US Citizenship Required What BLN24 brings to the Game: BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of — physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans. - You can join one of the fastest growing companies headquartered in the Washington DC Metro Area. We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability. - Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives. Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home. BLN24 is an Equal Opportunity Employer. We believe people are our strength and understand diverse talents are key to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

United States
Cresta logo

Applied Data Scientist

Cresta

Real-Time Intelligence for Contact Centers

Data Scientist68 days ago
Full TimeRemoteTeam 51-200H1B Sponsor

• Co-develop new capabilities with high-impact enterprise customers along with product, engineering, and design teams using their real workflows and constraints as your testbed • Communicate effectively across all levels of the organization • Plan and run short, focused design-partner engagements where you ship early versions, collect structured feedback, and iterate quickly • Generalize learnings from each design partner into reusable, productized capabilities rather than one-off bespoke models • Partner with domain experts to curate high-quality eval guidelines and datasets for domains such as CSAT prediction and outcome prediction • Use the best tools and models for the job • Write clear specs and experiment reports that make tradeoffs and assumptions explicit • Stay close to the research frontier in ML/AI, LLMs, and evals, translating promising ideas into pragmatic, shippable improvements • Help translate solutions into publications, whitepapers, technical blogs, etc.

United States
$150K - $200K / year
Workhuman logo

NLP Data Scientist

Workhuman

Workhuman® is helping companies meet today’s biggest human capital challenges - including unprecedented turnover, employee engagement, hybrid work environments, and DE&I - through the Workhuman Cloud®, a secure SaaS platform that provides the industry’s best-in-class Social Recognition® solution. Co-Headquartered in Dublin, Ireland, and Framingham, Massachusetts, USA, Workhuman has been pioneering the human workplace to improve the employee experience at work, with solutions that engage with approx. seven million customer employees in 30+ languages, in 180 countries, generating 100 million moments of human connection. Workhuman, employs over 1,000 people – including over 500 humans in North America who sell and market our solutions and services at scale, committed to helping companies improve returns on their most important investment– their people.

Data Scientist68 days ago
Full TimeRemoteTeam 950Since 1999

Job Description:**This is a remote position, based in the US **Applicants must have valid permanent work authorization in the U.S. (e.g., U.S. citizen, permanent resident). We are unable to offer visa sponsorship for this role. The Opportunity Are you passionate about applying AI to solve real-world, human-focused challenges? As an NLP Data Scientist at Workhuman, you’ll contribute to developing innovative AI solutions that transform how people work and connect. You’ll help shape the future of generative AI while tackling ethical and fairness challenges in NLP, ensuring our innovations are impactful and responsible. Joining our team means working on meaningful projects that drive tangible results and business value. What We Can Offer You - The opportunity to help design and deploy advanced machine learning and NLP models that power Workhuman’s AI products. - Collaboration with a cross-functional team of Data Scientists, ML Engineers, Software Engineers, and Product Managers to build scalable and efficient solutions. - Hands-on experimentation with the latest NLP techniques and frameworks to continuously improve our AI capabilities. - Participation in efforts to address ethical, bias, and fairness considerations in AI, ensuring compliance and equity in all solutions. - A supportive environment for continuous learning, with access to the latest research, tools, and best practices in AI. The Skills You Will Bring - Experience with generative AI and chatbot product development, ideally with frameworks like LangChain and LLamaIndex. - Knowledge of NLP techniques, such as text classification, sentiment analysis, and sequence tagging. - Proficiency in Python programming and familiarity with NLP/ML toolkits like Sklearn, Gensim, Spacy, and NLTK. - Experience with vector database technologies (e.g., pgvector, Pinecone) and deep learning frameworks (e.g., TensorFlow, PyTorch). - A collaborative and solutions-oriented approach to problem-solving in dynamic environments. - Strong communication skills, with the ability to convey technical concepts to non-technical audiences. Achievements - Contributed to the development and deployment of NLP models that drive measurable business impact. - Supported the transition of AI solutions from development to production environments. - Participated in projects addressing ethical challenges in AI, ensuring fairness and compliance. - Assisted in designing experiments and benchmarks to evaluate and improve NLP model performance - Partnered with diverse teams to help deliver scalable, efficient AI solutions. - Helped maintain a library of reusable algorithms, ensuring transparency and reproducibility in research. Thank you for considering joining our team. We strive to create an inclusive and accessible application process for all candidates. If you encounter any difficulties or have specific accessibility requirements while applying for this position, please don't hesitate to reach out to us at globalrecruitment@workhuman.com for assistance. We are committed to ensuring equal access to opportunities for all individuals. The Company:At Workhuman® our mission is to bring more humanity to the workplace. We recognise and embrace individuals’ differences and believe that workforce diversity and inclusion are essential to our long-term growth and success. Even if you don’t think you “check every single box” above, please still consider applying. We’re looking for a human who is collaborative, and innovative with a growth mindset. We love what we do because we’re shaping the future of work through our people and our technology. Our human cloud-based applications are helping some of the world’s leading global brands connect culture to shared purpose. The Workhuman Cloud empowers employees to thank, talk and celebrate each other, creating an environment that sparks gratitude and human connection while increasing employee engagement and productivity. Did you know we have an award-winning culture across EMEA and North America: - We were named as #5 Best Workplace in the Great Place to Work Awards in Ireland in 2022 in the large sized workplace category. We were also recognised as a Best Workplace for Women and a Best Workplace in Technology in 2020, 2021 and 2022. - In 2021 we were named as #2 Best Workplace in Europe in the medium sized workplace category. - We were also recognised as #2 Best Large Places to Work in Boston by Built In for 2023 as well as a Best Place to Work in Boston, U.S. Best Large Places to Work and U.S. Best Places to Work. - There are currently over 7.5 million users on the Workhuman® cloud across 180 countries. - Our core values are Respect, Determination, Innovation and Imagination. Workhuman is an Equal Opportunity Employer and is committed to the principle of equal employment opportunity for all employees. We proudly provide a work environment free of discrimination and harassment. Employment decisions at Workhuman are based on solely on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social, or ethnic origin, sex (including pregnancy), age, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. Workhuman believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.

Massachusetts
Job Closed
Edmunds.com logo

Senior Data Scientist

Edmunds.com

Founded in 1966, Edmunds.com started its life as a paperback newsstand publication that provided car buyers with valuable information to assist with the buying

Data Scientist68 days ago
Full TimeRemoteTeam 100Since 1966

At Edmunds we’re driven to make car buying easier. Ever since we began publishing printed car guides in the 60’s, the company has been in the business of trust, innovating ways to empower and support car shoppers. When Edmunds launched the car industry’s first Internet site in 1994, we established a leadership position online and have never looked back. Now, as one of the most trusted review sites on the Internet, millions of visitors use our research, shopping and buying tools every month to make an easy and informed decision on their next car. For consumers, we bring peace of mind. For dealers, we make tools to help them solve their problems and sell more cars. How do we do it, you ask? The key ingredients are our enthusiastic employees, progressive company culture and cutting-edge technology. Want to join the team? Read on to find out how! What You’re Applying For: The Data Science Team at Edmunds.com is seeking a Senior Data Scientist who will help us design and implement the next generation of data and AI driven product initiatives. You will dive deep into Edmunds’ users and clients, as well as the automotive marketplace, to directly improve existing products and inspire new product experiences. We are committed to tackling the challenges of integrating Generative AI technology into the car buying experience. You will play a key role in developing ML & AI prototypes and production grade services that are integrated by the product engineers. Each project initiative will involve sound use of ML and/or AI models, carefully planned experiments, and innovative uses of Edmunds’ vast data resources. We are looking for someone who is smart, creative, ambitious and able to communicate complex ideas to people from all technical backgrounds. We especially want someone who is excited to keep current with new advancements in Gen AI and use it to strategically optimize our product offerings for our customers and clients. Edmunds is committed to helping our people grow. We care about what we do and we care about our people. A demonstrated passion for research and technology will provide incredible growth opportunities and make this the best job you’ve ever had. What You’ll Do: - Engineering & Product Collaboration: Work closely with a team of engineers, data scientists and product managers to build scalable and high-impact ML and AI systems. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. - LLM Integration and Optimization: Oversee the integration and deployment of LLMs, including Retrieval-Augmented Generation (RAG) in an agentic framework, with a focus on optimizing model performance and scalability to enhance user experience and drive business results. - Own the complete ML lifecycle—from problem framing through data sourcing, modeling, deployment, monitoring, and continuous improvement. - Build, manage, and maintain reliable data pipelines and ML workflows. - Ensure reproducibility through versioning, testing, documentation, and proper model lineage. What You Need: - Bachelor’s degree in a quantitative field preferred AND - An advanced degree + 3-4 years of work experience in an analytics-related position OR - 5+ years of work experience in a data science-related position - Deep understanding of the data platforms in which you’ve previously worked - Experience with deploying and scaling of machine learning models. This includes automating model training, optimizing runtime performance of models, and deployment processes to enable fast, reliable delivery of AI solutions in production environments. - You are proficient in SQL, Python and ML frameworks with strong coding skills. - Experience using data to intelligently optimize product performance The compensation range for this position is $137,000 - $189,000 per year. The base pay will take into account internal equity as well as job-related knowledge, skills, and experience among other factors. In addition, Edmunds offers full-time employees a comprehensive total rewards package including the benefits listed below. Edmunds Perks: - Flexible time off - 13 Paid Holidays - Comprehensive Health Benefits (medical, dental, vision, life and disability) - Flexible Spending Accounts (Employees) and Health Savings Accounts (Employee and Employer Contributions) - 401K Plan with company matching at 100%, up to 6% of eligible salary with immediate vesting - Stock purchase program - CarMax vehicle discount - Up to 4 months Paid Parental Leave - HeartCash matches employee donations to the causes that are important to them - 2 Days of Paid Time Off for time to dedicate to social impact causes - FitCash covers a portion of gym or fitness activity fees - Well-being sessions - Employee Recognition Program - On-going career development opportunities - Pet insurance - Sabbatical leave - Education Reimbursement - Pre-tax spending accounts for qualified transportation expenses Working @ Edmunds.com: Employees think it’s a pretty great place to work and some pretty impressive publications think it is too: we have been recognized as one of the best places to work by Fortune Magazine, Great Places to Work, LA Business Journal, Newsweek, Computerworld, Built in LA, Inc. Magazine, The Wall Street Journal, Business Week Magazine, and Architectural Record. We've also been identified as one of the best workplaces specifically in Technology, for Diversity and Asian Americans, and as a Newsweek Most Loved Workplace for LGBTQ+ employees. If you’re interested in learning more and joining our mission, we’d love to hear from you! Edmunds will consider for employment qualified candidates with criminal histories in a manner consistent with the requirements of all applicable laws. #LI-Remote #BI-Remote

United States
$137K - $189K / year
Job Closed